machine time waste
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "proper-gnome",
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"metadata": {},
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"source": [
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"# Temporal impact: machine time waste"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "fantastic-harrison",
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"import pandas\n",
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"from IPython import display\n",
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"import findspark\n",
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"findspark.init()\n",
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"import pyspark\n",
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"import pyspark.sql\n",
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"import sys\n",
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"\n",
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"from pyspark.sql.functions import col, lag, when, concat_ws, last, first\n",
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"from pyspark.sql import Window\n",
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"from pyspark.sql.types import LongType"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "failing-rebecca",
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"cluster=\"b\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "transsexual-baptist",
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"ERROR:root:Exception while sending command.\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1207, in send_command\n",
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" raise Py4JNetworkError(\"Answer from Java side is empty\")\n",
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"py4j.protocol.Py4JNetworkError: Answer from Java side is empty\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1033, in send_command\n",
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" response = connection.send_command(command)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1212, in send_command\n",
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" \"Error while receiving\", e, proto.ERROR_ON_RECEIVE)\n",
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"py4j.protocol.Py4JNetworkError: Error while receiving\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
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" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
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" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
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" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
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" answer, self.gateway_client, self.target_id, self.name)\n",
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" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
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" return f(*a, **kw)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
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" format(target_id, \".\", name))\n",
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"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
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" stb = value._render_traceback_()\n",
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"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
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" connection = self.deque.pop()\n",
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"IndexError: pop from an empty deque\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
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" self.socket.connect((self.address, self.port))\n",
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"ConnectionRefusedError: [Errno 111] Connection refused\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
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" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
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" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
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" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
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" answer, self.gateway_client, self.target_id, self.name)\n",
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" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
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" return f(*a, **kw)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
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" format(target_id, \".\", name))\n",
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"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
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" stb = value._render_traceback_()\n",
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"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
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" connection = self.deque.pop()\n",
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"IndexError: pop from an empty deque\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
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" self.socket.connect((self.address, self.port))\n",
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"ConnectionRefusedError: [Errno 111] Connection refused\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
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" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
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" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
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" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
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" answer, self.gateway_client, self.target_id, self.name)\n",
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" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
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" return f(*a, **kw)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
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" format(target_id, \".\", name))\n",
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"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
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" stb = value._render_traceback_()\n",
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"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
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" connection = self.deque.pop()\n",
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"IndexError: pop from an empty deque\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
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" self.socket.connect((self.address, self.port))\n",
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"ConnectionRefusedError: [Errno 111] Connection refused\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
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" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
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" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
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" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
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" answer, self.gateway_client, self.target_id, self.name)\n",
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" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
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" return f(*a, **kw)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
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" format(target_id, \".\", name))\n",
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"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
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" stb = value._render_traceback_()\n",
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"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
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" connection = self.deque.pop()\n",
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"IndexError: pop from an empty deque\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
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" self.socket.connect((self.address, self.port))\n",
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"ConnectionRefusedError: [Errno 111] Connection refused\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
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" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
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" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
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" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
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" answer, self.gateway_client, self.target_id, self.name)\n",
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" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
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" return f(*a, **kw)\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
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" format(target_id, \".\", name))\n",
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"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
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" stb = value._render_traceback_()\n",
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"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
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" connection = self.deque.pop()\n",
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"IndexError: pop from an empty deque\n",
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"\n",
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"During handling of the above exception, another exception occurred:\n",
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"\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
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" self.socket.connect((self.address, self.port))\n",
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"ConnectionRefusedError: [Errno 111] Connection refused\n",
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"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
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"Traceback (most recent call last):\n",
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" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
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||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"ename": "Py4JError",
|
||||||
|
"evalue": "An error occurred while calling o26.json",
|
||||||
|
"output_type": "error",
|
||||||
|
"traceback": [
|
||||||
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
|
"\u001b[0;31mPy4JError\u001b[0m Traceback (most recent call last)",
|
||||||
|
"\u001b[0;32m<ipython-input-3-047bb33e6a05>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mgetOrCreate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mspark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/home/claudio/google_2019/instance_events/\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcluster\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"/\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcluster\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"_instance_events*.json.gz\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||||
|
"\u001b[0;32m/opt/spark/python/pyspark/sql/readwriter.py\u001b[0m in \u001b[0;36mjson\u001b[0;34m(self, path, schema, primitivesAsString, prefersDecimal, allowComments, allowUnquotedFieldNames, allowSingleQuotes, allowNumericLeadingZero, allowBackslashEscapingAnyCharacter, mode, columnNameOfCorruptRecord, dateFormat, timestampFormat, multiLine, allowUnquotedControlChars, lineSep, samplingRatio, dropFieldIfAllNull, encoding, locale, pathGlobFilter, recursiveFileLookup)\u001b[0m\n\u001b[1;32m 298\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 299\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 300\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_df\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_spark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPythonUtils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoSeq\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 301\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mRDD\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 302\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 1303\u001b[0m \u001b[0manswer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1304\u001b[0m return_value = get_return_value(\n\u001b[0;32m-> 1305\u001b[0;31m answer, self.gateway_client, self.target_id, self.name)\n\u001b[0m\u001b[1;32m 1306\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1307\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mtemp_arg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtemp_args\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/pyspark/sql/utils.py\u001b[0m in \u001b[0;36mdeco\u001b[0;34m(*a, **kw)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdeco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 129\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mpy4j\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprotocol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPy4JJavaError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[0mconverted\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconvert_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjava_exception\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\u001b[0m in \u001b[0;36mget_return_value\u001b[0;34m(answer, gateway_client, target_id, name)\u001b[0m\n\u001b[1;32m 334\u001b[0m raise Py4JError(\n\u001b[1;32m 335\u001b[0m \u001b[0;34m\"An error occurred while calling {0}{1}{2}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m format(target_id, \".\", name))\n\u001b[0m\u001b[1;32m 337\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 338\u001b[0m \u001b[0mtype\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manswer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;31mPy4JError\u001b[0m: An error occurred while calling o26.json"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"spark = pyspark.sql.SparkSession.builder \\\n",
|
||||||
|
" .appName(\"machine_time_waste\") \\\n",
|
||||||
|
" .getOrCreate()\n",
|
||||||
|
"\n",
|
||||||
|
"df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "juvenile-absolute",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.printSchema()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "lucky-western",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "normal-settlement",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# .filter(df.collection_type == 0) \\\n",
|
||||||
|
"df2 = df \\\n",
|
||||||
|
" .withColumn(\"time\", col(\"time\").cast(LongType())) \\\n",
|
||||||
|
" .withColumn(\"type\", col(\"type\").cast(LongType())) \\\n",
|
||||||
|
" .withColumn(\"type\", when(col(\"type\").isNull(), 0).otherwise(col(\"type\"))) \\\n",
|
||||||
|
" .withColumn(\"id\", concat_ws(\"-\", \"collection_id\", \"instance_index\")) \\\n",
|
||||||
|
" .where(col(\"time\").isNotNull()) \\\n",
|
||||||
|
" .where(col(\"type\").isNotNull()) \\\n",
|
||||||
|
" .where((col(\"instance_index\").isNotNull()) & (col(\"collection_id\").isNotNull())) \\\n",
|
||||||
|
" .select(\"machine_id\", \"id\", \"time\", \"type\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "typical-homeless",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df2.show()\n",
|
||||||
|
"print(\"Total: \" + str(df.count()))\n",
|
||||||
|
"print(\"Filtered: \" + str(df2.count()))"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "collect-saying",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# my_window = Window.partitionBy(\"machine_id\", \"id\").orderBy(df2.time.asc())\n",
|
||||||
|
"\n",
|
||||||
|
"w2 = Window.partitionBy(\"id\").orderBy(df2.time.asc()).rowsBetween(Window.currentRow, Window.unboundedFollowing)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "cooperative-appraisal",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# .withColumn(\"prev_time\", lag(df2.time).over(my_window)) \\\n",
|
||||||
|
"# .withColumn(\"prev_type\", lag(df2.type).over(my_window)) \\\n",
|
||||||
|
"\n",
|
||||||
|
"df3 = df2 \\\n",
|
||||||
|
" .withColumn(\"t3_time\", when((df2.type != 3), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t45678_time\", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t45678_type\", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.type)) \\\n",
|
||||||
|
" .withColumn(\"t01_time\", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t01_type\", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.type)) \\\n",
|
||||||
|
" .withColumn(\"next_time\", when(df2.type == 3, first(col(\"t45678_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type == 0) | (df2.type == 1), first(col(\"t3_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type >= 4) | (df2.type <= 8), first(col(\"t01_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .otherwise(None)) \\\n",
|
||||||
|
" .withColumn(\"next_type\", when(df2.type == 3, first(col(\"t45678_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type == 0) | (df2.type == 1), 3) \\\n",
|
||||||
|
" .when((df2.type >= 4) | (df2.type <= 8), first(col(\"t01_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .otherwise(None)) \\\n",
|
||||||
|
" .withColumn(\"last_term_type\", last(col(\"t45678_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .withColumn(\"time_delta\", col(\"next_time\") - col(\"time\")) \\\n",
|
||||||
|
" .select(\"machine_id\", \"id\", \"time\", \"type\", \"last_term_type\", \"time_delta\", \"t01_time\", \"t01_type\", \"t3_time\", \"t45678_time\", \"t45678_type\", \"next_time\", \"next_type\") \\"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "ideal-angle",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df4 = df3.where(df3.next_type.isNotNull()).groupby(\"type\", \"next_type\", \"last_term_type\").sum(\"time_delta\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "working-difficulty",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# df3.orderBy(df3.machine_id, df3.time).show(n=100)\n",
|
||||||
|
"# df3.printSchema()\n",
|
||||||
|
"df4.show(n=1000000)\n",
|
||||||
|
"df4.write.csv(\"/home/claudio/google_2019/thesis_queries/machine_time_waste/\" + cluster + \"_state_change.csv\")"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.6.9"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
BIN
machine_time_waste/b_state_changes.json
(Stored with Git LFS)
Normal file
BIN
machine_time_waste/b_state_changes.json
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
machine_time_waste/d_state_changes.json
(Stored with Git LFS)
Normal file
BIN
machine_time_waste/d_state_changes.json
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
machine_time_waste/g_state_changes.json
(Stored with Git LFS)
Normal file
BIN
machine_time_waste/g_state_changes.json
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
machine_time_waste/h_state_changes.json
(Stored with Git LFS)
Normal file
BIN
machine_time_waste/h_state_changes.json
(Stored with Git LFS)
Normal file
Binary file not shown.
895
machine_time_waste/machine_time_waste.ipynb
Normal file
895
machine_time_waste/machine_time_waste.ipynb
Normal file
|
|
@ -0,0 +1,895 @@
|
||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "proper-gnome",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Temporal impact: machine time waste"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 1,
|
||||||
|
"id": "fantastic-harrison",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import pandas\n",
|
||||||
|
"from IPython import display\n",
|
||||||
|
"import findspark\n",
|
||||||
|
"findspark.init()\n",
|
||||||
|
"import pyspark\n",
|
||||||
|
"import pyspark.sql\n",
|
||||||
|
"import sys\n",
|
||||||
|
"\n",
|
||||||
|
"from pyspark.sql.functions import col, lag, when, concat_ws, last, first\n",
|
||||||
|
"from pyspark.sql import Window\n",
|
||||||
|
"from pyspark.sql.types import LongType"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 2,
|
||||||
|
"id": "failing-rebecca",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"cluster=\"b\""
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 3,
|
||||||
|
"id": "transsexual-baptist",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"ERROR:root:Exception while sending command.\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1207, in send_command\n",
|
||||||
|
" raise Py4JNetworkError(\"Answer from Java side is empty\")\n",
|
||||||
|
"py4j.protocol.Py4JNetworkError: Answer from Java side is empty\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1033, in send_command\n",
|
||||||
|
" response = connection.send_command(command)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1212, in send_command\n",
|
||||||
|
" \"Error while receiving\", e, proto.ERROR_ON_RECEIVE)\n",
|
||||||
|
"py4j.protocol.Py4JNetworkError: Error while receiving\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n",
|
||||||
|
"ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java server (127.0.0.1:36135)\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 3343, in run_code\n",
|
||||||
|
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
|
||||||
|
" File \"<ipython-input-3-047bb33e6a05>\", line 5, in <module>\n",
|
||||||
|
" df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/readwriter.py\", line 300, in json\n",
|
||||||
|
" return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n",
|
||||||
|
" answer, self.gateway_client, self.target_id, self.name)\n",
|
||||||
|
" File \"/opt/spark/python/pyspark/sql/utils.py\", line 128, in deco\n",
|
||||||
|
" return f(*a, **kw)\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 336, in get_return_value\n",
|
||||||
|
" format(target_id, \".\", name))\n",
|
||||||
|
"py4j.protocol.Py4JError: An error occurred while calling o26.json\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/home/claudio/python-venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2044, in showtraceback\n",
|
||||||
|
" stb = value._render_traceback_()\n",
|
||||||
|
"AttributeError: 'Py4JError' object has no attribute '_render_traceback_'\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 977, in _get_connection\n",
|
||||||
|
" connection = self.deque.pop()\n",
|
||||||
|
"IndexError: pop from an empty deque\n",
|
||||||
|
"\n",
|
||||||
|
"During handling of the above exception, another exception occurred:\n",
|
||||||
|
"\n",
|
||||||
|
"Traceback (most recent call last):\n",
|
||||||
|
" File \"/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1115, in start\n",
|
||||||
|
" self.socket.connect((self.address, self.port))\n",
|
||||||
|
"ConnectionRefusedError: [Errno 111] Connection refused\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"ename": "Py4JError",
|
||||||
|
"evalue": "An error occurred while calling o26.json",
|
||||||
|
"output_type": "error",
|
||||||
|
"traceback": [
|
||||||
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
|
"\u001b[0;31mPy4JError\u001b[0m Traceback (most recent call last)",
|
||||||
|
"\u001b[0;32m<ipython-input-3-047bb33e6a05>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mgetOrCreate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mspark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/home/claudio/google_2019/instance_events/\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcluster\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"/\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcluster\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"_instance_events*.json.gz\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||||
|
"\u001b[0;32m/opt/spark/python/pyspark/sql/readwriter.py\u001b[0m in \u001b[0;36mjson\u001b[0;34m(self, path, schema, primitivesAsString, prefersDecimal, allowComments, allowUnquotedFieldNames, allowSingleQuotes, allowNumericLeadingZero, allowBackslashEscapingAnyCharacter, mode, columnNameOfCorruptRecord, dateFormat, timestampFormat, multiLine, allowUnquotedControlChars, lineSep, samplingRatio, dropFieldIfAllNull, encoding, locale, pathGlobFilter, recursiveFileLookup)\u001b[0m\n\u001b[1;32m 298\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 299\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 300\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_df\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_spark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPythonUtils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoSeq\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 301\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mRDD\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 302\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 1303\u001b[0m \u001b[0manswer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1304\u001b[0m return_value = get_return_value(\n\u001b[0;32m-> 1305\u001b[0;31m answer, self.gateway_client, self.target_id, self.name)\n\u001b[0m\u001b[1;32m 1306\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1307\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mtemp_arg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtemp_args\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/pyspark/sql/utils.py\u001b[0m in \u001b[0;36mdeco\u001b[0;34m(*a, **kw)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdeco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 129\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mpy4j\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprotocol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPy4JJavaError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[0mconverted\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconvert_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjava_exception\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;32m/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\u001b[0m in \u001b[0;36mget_return_value\u001b[0;34m(answer, gateway_client, target_id, name)\u001b[0m\n\u001b[1;32m 334\u001b[0m raise Py4JError(\n\u001b[1;32m 335\u001b[0m \u001b[0;34m\"An error occurred while calling {0}{1}{2}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m format(target_id, \".\", name))\n\u001b[0m\u001b[1;32m 337\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 338\u001b[0m \u001b[0mtype\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manswer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
|
"\u001b[0;31mPy4JError\u001b[0m: An error occurred while calling o26.json"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"spark = pyspark.sql.SparkSession.builder \\\n",
|
||||||
|
" .appName(\"machine_time_waste\") \\\n",
|
||||||
|
" .getOrCreate()\n",
|
||||||
|
"\n",
|
||||||
|
"df = spark.read.json(\"/home/claudio/google_2019/instance_events/\" + cluster + \"/\" + cluster + \"_instance_events*.json.gz\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "juvenile-absolute",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.printSchema()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "lucky-western",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "normal-settlement",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# .filter(df.collection_type == 0) \\\n",
|
||||||
|
"df2 = df \\\n",
|
||||||
|
" .withColumn(\"time\", col(\"time\").cast(LongType())) \\\n",
|
||||||
|
" .withColumn(\"type\", col(\"type\").cast(LongType())) \\\n",
|
||||||
|
" .withColumn(\"type\", when(col(\"type\").isNull(), 0).otherwise(col(\"type\"))) \\\n",
|
||||||
|
" .withColumn(\"id\", concat_ws(\"-\", \"collection_id\", \"instance_index\")) \\\n",
|
||||||
|
" .where(col(\"time\").isNotNull()) \\\n",
|
||||||
|
" .where(col(\"type\").isNotNull()) \\\n",
|
||||||
|
" .where((col(\"instance_index\").isNotNull()) & (col(\"collection_id\").isNotNull())) \\\n",
|
||||||
|
" .select(\"machine_id\", \"id\", \"time\", \"type\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "typical-homeless",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df2.show()\n",
|
||||||
|
"print(\"Total: \" + str(df.count()))\n",
|
||||||
|
"print(\"Filtered: \" + str(df2.count()))"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "collect-saying",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# my_window = Window.partitionBy(\"machine_id\", \"id\").orderBy(df2.time.asc())\n",
|
||||||
|
"\n",
|
||||||
|
"w2 = Window.partitionBy(\"id\").orderBy(df2.time.asc()).rowsBetween(Window.currentRow, Window.unboundedFollowing)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "cooperative-appraisal",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# .withColumn(\"prev_time\", lag(df2.time).over(my_window)) \\\n",
|
||||||
|
"# .withColumn(\"prev_type\", lag(df2.type).over(my_window)) \\\n",
|
||||||
|
"\n",
|
||||||
|
"df3 = df2 \\\n",
|
||||||
|
" .withColumn(\"t3_time\", when((df2.type != 3), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t45678_time\", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t45678_type\", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.type)) \\\n",
|
||||||
|
" .withColumn(\"t01_time\", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.time)) \\\n",
|
||||||
|
" .withColumn(\"t01_type\", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.type)) \\\n",
|
||||||
|
" .withColumn(\"next_time\", when(df2.type == 3, first(col(\"t45678_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type == 0) | (df2.type == 1), first(col(\"t3_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type >= 4) | (df2.type <= 8), first(col(\"t01_time\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .otherwise(None)) \\\n",
|
||||||
|
" .withColumn(\"next_type\", when(df2.type == 3, first(col(\"t45678_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .when((df2.type == 0) | (df2.type == 1), 3) \\\n",
|
||||||
|
" .when((df2.type >= 4) | (df2.type <= 8), first(col(\"t01_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .otherwise(None)) \\\n",
|
||||||
|
" .withColumn(\"last_term_type\", last(col(\"t45678_type\"), ignorenulls=True).over(w2)) \\\n",
|
||||||
|
" .withColumn(\"time_delta\", col(\"next_time\") - col(\"time\")) \\\n",
|
||||||
|
" .select(\"machine_id\", \"id\", \"time\", \"type\", \"last_term_type\", \"time_delta\", \"t01_time\", \"t01_type\", \"t3_time\", \"t45678_time\", \"t45678_type\", \"next_time\", \"next_type\") \\"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "ideal-angle",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df4 = df3.where(df3.next_type.isNotNull()).groupby(\"type\", \"next_type\", \"last_term_type\").sum(\"time_delta\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "working-difficulty",
|
||||||
|
"metadata": {
|
||||||
|
"collapsed": false,
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# df3.orderBy(df3.machine_id, df3.time).show(n=100)\n",
|
||||||
|
"# df3.printSchema()\n",
|
||||||
|
"df4.show(n=1000000)\n",
|
||||||
|
"df4.write.csv(\"/home/claudio/google_2019/thesis_queries/machine_time_waste/\" + cluster + \"_state_change.csv\")"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.6.9"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
79
machine_time_waste/machine_time_waste.py
Executable file
79
machine_time_waste/machine_time_waste.py
Executable file
|
|
@ -0,0 +1,79 @@
|
||||||
|
#!/usr/bin/env python3
|
||||||
|
# coding: utf-8
|
||||||
|
|
||||||
|
# # Temporal impact: machine time waste
|
||||||
|
|
||||||
|
import pandas
|
||||||
|
from IPython import display
|
||||||
|
import findspark
|
||||||
|
findspark.init()
|
||||||
|
import pyspark
|
||||||
|
import pyspark.sql
|
||||||
|
import sys
|
||||||
|
|
||||||
|
from pyspark.sql.functions import col, lag, when, concat_ws, last, first
|
||||||
|
from pyspark.sql import Window
|
||||||
|
from pyspark.sql.types import LongType
|
||||||
|
|
||||||
|
cluster="b"
|
||||||
|
|
||||||
|
spark = pyspark.sql.SparkSession.builder \
|
||||||
|
.appName("machine_time_waste") \
|
||||||
|
.config("spark.local.dir", "/run/tmpfiles.d/spark") \
|
||||||
|
.config("spark.driver.memory", "124g") \
|
||||||
|
.getOrCreate()
|
||||||
|
|
||||||
|
df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_instance_events*.json.gz")
|
||||||
|
|
||||||
|
df.printSchema()
|
||||||
|
|
||||||
|
df.show()
|
||||||
|
|
||||||
|
# .filter(df.collection_type == 0) \
|
||||||
|
df2 = df \
|
||||||
|
.withColumn("time", col("time").cast(LongType())) \
|
||||||
|
.withColumn("type", col("type").cast(LongType())) \
|
||||||
|
.withColumn("type", when(col("type").isNull(), 0).otherwise(col("type"))) \
|
||||||
|
.withColumn("id", concat_ws("-", "collection_id", "instance_index")) \
|
||||||
|
.where(col("time").isNotNull()) \
|
||||||
|
.where(col("type").isNotNull()) \
|
||||||
|
.where((col("instance_index").isNotNull()) & (col("collection_id").isNotNull())) \
|
||||||
|
.select("time", "type", "id")
|
||||||
|
|
||||||
|
df2.show()
|
||||||
|
print("Total: " + str(df.count()))
|
||||||
|
print("Filtered: " + str(df2.count()))
|
||||||
|
|
||||||
|
# my_window = Window.partitionBy("machine_id", "id").orderBy(df2.time.asc())
|
||||||
|
|
||||||
|
w2 = Window.partitionBy("id").orderBy(df2.time.asc()).rowsBetween(Window.currentRow, Window.unboundedFollowing)
|
||||||
|
|
||||||
|
# .withColumn("prev_time", lag(df2.time).over(my_window)) \
|
||||||
|
# .withColumn("prev_type", lag(df2.type).over(my_window)) \
|
||||||
|
df3 = df2 \
|
||||||
|
.withColumn("t3_time", when((df2.type != 3), None).otherwise(df2.time)) \
|
||||||
|
.withColumn("t45678_time", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.time)) \
|
||||||
|
.withColumn("t45678_type", when((df2.type < 4) | (df2.type > 8), None).otherwise(df2.type)) \
|
||||||
|
.withColumn("t01_time", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.time)) \
|
||||||
|
.withColumn("t01_type", when((df2.type != 0) & (df2.type != 1), None).otherwise(df2.type)) \
|
||||||
|
.withColumn("next_time", when(df2.type == 3, first(col("t45678_time"), True).over(w2)) \
|
||||||
|
.when((df2.type == 0) | (df2.type == 1), first(col("t3_time"), True).over(w2)) \
|
||||||
|
.when((df2.type >= 4) | (df2.type <= 8), first(col("t01_time"), True).over(w2)) \
|
||||||
|
.otherwise(None)) \
|
||||||
|
.withColumn("next_type", when(df2.type == 3, first(col("t45678_type"), True).over(w2)) \
|
||||||
|
.when((df2.type == 0) | (df2.type == 1), 3) \
|
||||||
|
.when((df2.type >= 4) | (df2.type <= 8), first(col("t01_type"), True).over(w2)) \
|
||||||
|
.otherwise(None)) \
|
||||||
|
.withColumn("last_term_type", last(col("t45678_type"), True).over(w2)) \
|
||||||
|
.withColumn("time_delta", col("next_time") - col("time")) \
|
||||||
|
.select("id", "time", "type", "last_term_type", "time_delta", "t01_time", \
|
||||||
|
"t01_type", "t3_time", "t45678_time", "t45678_type", "next_time", "next_type")
|
||||||
|
|
||||||
|
df4 = df3.where(df3.next_type.isNotNull()).groupby("type", "next_type", "last_term_type").sum("time_delta")
|
||||||
|
|
||||||
|
# df3.orderBy(df3.machine_id, df3.time).show(n=100)
|
||||||
|
# df3.printSchema()
|
||||||
|
df4.show(n=1000000)
|
||||||
|
df4.write.csv("/home/claudio/google_2019/thesis_queries/machine_time_waste/" + cluster + "_state_change.csv")
|
||||||
|
|
||||||
|
# vim: set ts=2 sw=2 et tw=120:
|
||||||
103
machine_time_waste/machine_time_waste_rdd.py
Executable file
103
machine_time_waste/machine_time_waste_rdd.py
Executable file
|
|
@ -0,0 +1,103 @@
|
||||||
|
#!/usr/bin/env python3
|
||||||
|
# coding: utf-8
|
||||||
|
|
||||||
|
# # Temporal impact: machine time waste
|
||||||
|
|
||||||
|
import json
|
||||||
|
import pandas
|
||||||
|
from IPython import display
|
||||||
|
import findspark
|
||||||
|
findspark.init()
|
||||||
|
import pyspark
|
||||||
|
import pyspark.sql
|
||||||
|
import sys
|
||||||
|
|
||||||
|
from pyspark.sql.functions import col, lag, when, concat_ws, last, first
|
||||||
|
from pyspark.sql import Window
|
||||||
|
from pyspark.sql.types import LongType
|
||||||
|
|
||||||
|
if len(sys.argv) != 2 or len(sys.argv[1]) != 1:
|
||||||
|
print("usage: " + sys.argv[0] + " {cluster}", file=sys.stderr)
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
cluster=sys.argv[1]
|
||||||
|
|
||||||
|
spark = pyspark.sql.SparkSession.builder \
|
||||||
|
.appName("machine_time_waste") \
|
||||||
|
.config("spark.local.dir", "/tmp/ramdisk/spark") \
|
||||||
|
.config("spark.driver.memory", "124g") \
|
||||||
|
.getOrCreate()
|
||||||
|
|
||||||
|
df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_instance_events*.json.gz")
|
||||||
|
# df = spark.read.json("/home/claudio/google_2019/instance_events/" + cluster + "/" + cluster + "_test.json")
|
||||||
|
|
||||||
|
df.printSchema()
|
||||||
|
|
||||||
|
df.show()
|
||||||
|
|
||||||
|
# .filter(df.collection_type == 0) \
|
||||||
|
df2 = df \
|
||||||
|
.withColumn("time", col("time").cast(LongType())) \
|
||||||
|
.withColumn("type", col("type").cast(LongType())) \
|
||||||
|
.withColumn("type", when(col("type").isNull(), 0).otherwise(col("type"))) \
|
||||||
|
.withColumn("id", concat_ws("-", "collection_id", "instance_index")) \
|
||||||
|
.where(col("time").isNotNull()) \
|
||||||
|
.where(col("type").isNotNull()) \
|
||||||
|
.where((col("instance_index").isNotNull()) & (col("collection_id").isNotNull())) \
|
||||||
|
.select("time", "type", "id")
|
||||||
|
|
||||||
|
df2.show()
|
||||||
|
|
||||||
|
total = df.count()
|
||||||
|
filtered = df2.count()
|
||||||
|
|
||||||
|
print("Total: " + str(total))
|
||||||
|
print("Filtered: " + str(filtered))
|
||||||
|
|
||||||
|
r = df2.rdd
|
||||||
|
|
||||||
|
def for_each_task(ts):
|
||||||
|
ts = sorted(ts, key=lambda x: x.time)
|
||||||
|
last_term = None
|
||||||
|
prev = None
|
||||||
|
tr = {}
|
||||||
|
|
||||||
|
for i,t in enumerate(ts):
|
||||||
|
if prev is not None and t.type == prev.type: # remove useless transitions
|
||||||
|
if (i == len(ts)-1): # if last
|
||||||
|
tr[str(prev.type) + "-" + str(t.type)] = t.time - prev.time # keep "loops" if last
|
||||||
|
else:
|
||||||
|
continue
|
||||||
|
if t.type >= 4 and t.type <= 8:
|
||||||
|
last_term = t.type
|
||||||
|
if prev is not None:
|
||||||
|
tr[str(prev.type) + "-" + str(t.type)] = t.time - prev.time
|
||||||
|
prev = t
|
||||||
|
return {"last_term": last_term, 'tr': tr}
|
||||||
|
|
||||||
|
def sum_values(ds):
|
||||||
|
dsum = {}
|
||||||
|
for dt in ds:
|
||||||
|
d = dt["tr"]
|
||||||
|
for key in d:
|
||||||
|
if key not in dsum:
|
||||||
|
dsum[key] = d[key]
|
||||||
|
else:
|
||||||
|
dsum[key] += d[key]
|
||||||
|
return dsum
|
||||||
|
|
||||||
|
r2 = r \
|
||||||
|
.groupBy(lambda x: x.id) \
|
||||||
|
.mapValues(for_each_task) \
|
||||||
|
.map(lambda x: x[1]) \
|
||||||
|
.groupBy(lambda x: x["last_term"]) \
|
||||||
|
.mapValues(sum_values) \
|
||||||
|
.collect()
|
||||||
|
|
||||||
|
with open(cluster + "_state_changes.json", "w") as out:
|
||||||
|
json.dump({"filtered": filtered, "total": total, "data": r2}, out)
|
||||||
|
|
||||||
|
# .withColumn("prev_time", lag(df2.time).over(my_window)) \
|
||||||
|
# .withColumn("prev_type", lag(df2.type).over(my_window)) \
|
||||||
|
|
||||||
|
# vim: set ts=2 sw=2 et tw=120:
|
||||||
Loading…
Reference in a new issue