From a75b7b5d6cb4c2be1700215e9c9c0596b6f0a082 Mon Sep 17 00:00:00 2001 From: "Claudio Maggioni (maggicl)" Date: Tue, 27 Apr 2021 13:32:15 +0000 Subject: [PATCH] add fig5 --- figure_8/figure8-join.py | 2 +- .../spatial_res_actual_csv.py | 9 +- table_iii/fig-5-a.csv/._SUCCESS.crc | 3 + ...d-5da5-437b-ba73-2ffe41d3c0f8-c000.csv.crc | 3 + .../fig-5-a.csv/_SUCCESS | 0 ...0271d-5da5-437b-ba73-2ffe41d3c0f8-c000.csv | 256535 ++++++++++++++ table_iii/fig-5-b.csv/._SUCCESS.crc | 3 + ...3-7af1-4d33-a45a-f9014f56538c-c000.csv.crc | 3 + table_iii/fig-5-b.csv/_SUCCESS | 0 ...1f953-7af1-4d33-a45a-f9014f56538c-c000.csv | 178636 ++++++++++ table_iii/fig-5-c.csv/._SUCCESS.crc | 3 + ...6-74af-4df5-b713-80609929c4dc-c000.csv.crc | 3 + table_iii/fig-5-c.csv/_SUCCESS | 0 ...12a36-74af-4df5-b713-80609929c4dc-c000.csv | 260739 +++++++++++++++ table_iii/fig-5-d.csv/._SUCCESS.crc | 3 + ...9-08b4-4488-8a27-fa01f70f53ee-c000.csv.crc | 3 + table_iii/fig-5-d.csv/_SUCCESS | 0 ...93e09-08b4-4488-8a27-fa01f70f53ee-c000.csv | 257573 ++++++++++++++ table_iii/fig-5-e.csv/._SUCCESS.crc | 3 + ...f-3397-424d-a70b-de29400997dd-c000.csv.crc | 3 + table_iii/fig-5-e.csv/_SUCCESS | 0 ...3a90f-3397-424d-a70b-de29400997dd-c000.csv | 106505 ++++++ table_iii/fig-5-f.csv/._SUCCESS.crc | 3 + ...3-e183-4e68-92cc-276c31cd4f8f-c000.csv.crc | 3 + table_iii/fig-5-f.csv/_SUCCESS | 0 ...59a43-e183-4e68-92cc-276c31cd4f8f-c000.csv | 77122 +++++ table_iii/fig-5-g.csv/._SUCCESS.crc | 3 + ...a-78f8-496d-a3c2-7ec8a1ea7964-c000.csv.crc | 3 + table_iii/fig-5-g.csv/_SUCCESS | 0 ...a19ca-78f8-496d-a3c2-7ec8a1ea7964-c000.csv | 208510 ++++++++++++ table_iii/fig-5-h.csv/._SUCCESS.crc | 3 + ...0-e72b-4590-8c23-0fd8a5684bbf-c000.csv.crc | 3 + table_iii/fig-5-h.csv/_SUCCESS | 0 ...514d0-e72b-4590-8c23-0fd8a5684bbf-c000.csv | 67891 ++++ table_iii/fig5.py | 68 + 35 files changed, 1413633 insertions(+), 5 deletions(-) create mode 100644 table_iii/fig-5-a.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-a.csv/.part-00000-0ad0271d-5da5-437b-ba73-2ffe41d3c0f8-c000.csv.crc rename figure_9/a_term_job_count.csv => table_iii/fig-5-a.csv/_SUCCESS (100%) create mode 100644 table_iii/fig-5-a.csv/part-00000-0ad0271d-5da5-437b-ba73-2ffe41d3c0f8-c000.csv create mode 100644 table_iii/fig-5-b.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-b.csv/.part-00000-a0b1f953-7af1-4d33-a45a-f9014f56538c-c000.csv.crc create mode 100644 table_iii/fig-5-b.csv/_SUCCESS create mode 100644 table_iii/fig-5-b.csv/part-00000-a0b1f953-7af1-4d33-a45a-f9014f56538c-c000.csv create mode 100644 table_iii/fig-5-c.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-c.csv/.part-00000-b3212a36-74af-4df5-b713-80609929c4dc-c000.csv.crc create mode 100644 table_iii/fig-5-c.csv/_SUCCESS create mode 100644 table_iii/fig-5-c.csv/part-00000-b3212a36-74af-4df5-b713-80609929c4dc-c000.csv create mode 100644 table_iii/fig-5-d.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-d.csv/.part-00000-13c93e09-08b4-4488-8a27-fa01f70f53ee-c000.csv.crc create mode 100644 table_iii/fig-5-d.csv/_SUCCESS create mode 100644 table_iii/fig-5-d.csv/part-00000-13c93e09-08b4-4488-8a27-fa01f70f53ee-c000.csv create mode 100644 table_iii/fig-5-e.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-e.csv/.part-00000-89d3a90f-3397-424d-a70b-de29400997dd-c000.csv.crc create mode 100644 table_iii/fig-5-e.csv/_SUCCESS create mode 100644 table_iii/fig-5-e.csv/part-00000-89d3a90f-3397-424d-a70b-de29400997dd-c000.csv create mode 100644 table_iii/fig-5-f.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-f.csv/.part-00000-9b159a43-e183-4e68-92cc-276c31cd4f8f-c000.csv.crc create mode 100644 table_iii/fig-5-f.csv/_SUCCESS create mode 100644 table_iii/fig-5-f.csv/part-00000-9b159a43-e183-4e68-92cc-276c31cd4f8f-c000.csv create mode 100644 table_iii/fig-5-g.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-g.csv/.part-00000-2dca19ca-78f8-496d-a3c2-7ec8a1ea7964-c000.csv.crc create mode 100644 table_iii/fig-5-g.csv/_SUCCESS create mode 100644 table_iii/fig-5-g.csv/part-00000-2dca19ca-78f8-496d-a3c2-7ec8a1ea7964-c000.csv create mode 100644 table_iii/fig-5-h.csv/._SUCCESS.crc create mode 100644 table_iii/fig-5-h.csv/.part-00000-4f5514d0-e72b-4590-8c23-0fd8a5684bbf-c000.csv.crc create mode 100644 table_iii/fig-5-h.csv/_SUCCESS create mode 100644 table_iii/fig-5-h.csv/part-00000-4f5514d0-e72b-4590-8c23-0fd8a5684bbf-c000.csv create mode 100755 table_iii/fig5.py diff --git a/figure_8/figure8-join.py b/figure_8/figure8-join.py index f6bad182..66bd17bf 100755 --- a/figure_8/figure8-join.py +++ b/figure_8/figure8-join.py @@ -83,7 +83,7 @@ usage_schema = StructType() \ .add("cpu_usage_dist_98", DoubleType(), True) \ .add("cpu_usage_dist_99", DoubleType(), True) -dfu = spark.read.format("csv") \ +dfu = spark.read.format("json") \ .option("header", False) \ .schema(usage_schema) \ .load(dfupath) diff --git a/spatial_resource_waste/spatial_res_actual_csv.py b/spatial_resource_waste/spatial_res_actual_csv.py index cc29a982..678d3b0c 100644 --- a/spatial_resource_waste/spatial_res_actual_csv.py +++ b/spatial_resource_waste/spatial_res_actual_csv.py @@ -62,15 +62,16 @@ spark = pyspark.sql.SparkSession.builder \ .appName("task_slowdown") \ .config("spark.driver.maxResultSize", "256g") \ .config("spark.local.dir", "/home/claudio/tmp") \ - .config("spark.driver.memory", "120g") \ + .config("spark.driver.memory", "200g") \ .getOrCreate() sc = spark.sparkContext -path = "/home/claudio/" + cluster + "/" + cluster -path += "_instance_usage*.csv.gz" +# path = "/home/claudio/" + cluster + "/" + cluster +# path += "_instance_usage*.csv.gz" +path = "/home/claudio/raid0/google_2019/instance_usage/" + cluster + "/" + cluster + "_instance_usage*.json.gz" #path += "_test.csv" -df = spark.read.format("csv") \ +df = spark.read.format("json") \ .option("header", False) \ 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file mode 100755 index 00000000..2bf19fd5 --- /dev/null +++ b/table_iii/fig5.py @@ -0,0 +1,68 @@ +#!/usr/bin/env python3 +# coding: utf-8 + +import json +import pandas +import findspark +findspark.init() +import pyspark +import pyspark.sql +import sys +import gzip +import os + +import pyspark.sql.functions as F +from pyspark import AccumulatorParam +from pyspark.sql.functions import lit +from pyspark.sql import Window +from pyspark.sql.types import StructType, LongType, StringType, ByteType + +def main(): + global DIR + global NAME + global launched + + if len(sys.argv) != 4: + print(sys.argv[0] + " {cluster} {tmpdir} {maxram}") + sys.exit() + + cluster=sys.argv[1] + DIR = os.path.dirname(__file__) + NAME = "fig-5-" + cluster + + if os.path.exists(DIR + "/" + NAME + "-working") or os.path.exists(DIR + "/" + NAME + ".parquet"): + print("already launched") + launched = True + sys.exit() + + os.system("touch " + DIR + "/" + NAME + "-working") + + spark = pyspark.sql.SparkSession.builder \ + .appName(NAME) \ + .config("spark.driver.maxResultSize", "32g") \ + .config("spark.local.dir", sys.argv[2]) \ + .config("spark.driver.memory", sys.argv[3]) \ + .getOrCreate() + sc = spark.sparkContext + + df = spark.read.parquet(DIR + "/bigtable-" + cluster + ".parquet") + + cnt_cond = lambda cond: F.sum(F.when(cond, 1).otherwise(0)) + + df = df.groupBy(["count_4", "count_5", "count_7", "count_8"]).agg( \ + cnt_cond(F.col('task_term') == 6).alias('count_succ'), + cnt_cond(F.col('task_term') != 6).alias('count_not_succ')) + + df.repartition(1).write.csv(DIR + "/" + NAME + ".csv") + +if __name__ == "__main__": + launched = False + DIR = None + NAME = None + try: + main() + finally: + if not launched and DIR and NAME: + os.system("rm -v " + DIR + "/" + NAME + "-working") + +# vim: set ts=4 sw=4 et tw=120: