Added 9a task count

figure_9/figure9a.py

@@ -0,0 +1,51 @@
+#!/usr/bin/env python3
+# coding: utf-8
+
+import os
+import json
+import pandas as pd
+import findspark
+findspark.init()
+import pyspark
+import pyspark.sql
+import sys
+import gzip
+from pyspark import AccumulatorParam
+from pyspark.sql.functions import lit
+from pyspark.sql import Window
+from pyspark.sql.types import *
+from decimal import *
+
+if len(sys.argv) is not 5:
+    print(sys.argv[0] + " {cluster} {tmpdir} {maxram} {basedir}")
+    sys.exit()
+
+cluster=sys.argv[1]
+
+spark = pyspark.sql.SparkSession.builder \
+  .appName("figure_9a") \
+  .config("spark.driver.maxResultSize", "128g") \
+  .config("spark.local.dir", sys.argv[2]) \
+  .config("spark.driver.memory", sys.argv[3]) \
+  .getOrCreate()
+sc = spark.sparkContext
+
+# READING INSTANCE EVENTS DATA
+#dfepath = sys.argv[4] + "/" + cluster + "/" + cluster + "_instance_events*.json.gz"
+dfepath = sys.argv[4] + "/" + cluster + "/" + cluster + "_test.json"
+df = spark.read.json(dfepath)
+
+try:
+    df["collection_type"] = df["collection_type"].cast(ByteType())
+except:
+    df = df.withColumn("collection_type", lit(None).cast(ByteType()))
+
+df = df.rdd.filter(lambda x: x.collection_id is not None and x.instance_index is not None and
+        (x.collection_type == 0)) \
+        .map(lambda x: (x.collection_id, x.instance_index)) \
+        .groupBy(lambda x: x[0]) \
+        .mapValues(lambda x: len(x))
+
+df.write.parquet("/home/claudio/raid0/figure-9a-task-count-" + cluster + ".parquet")
+
+# vim: set ts=4 sw=4 et tw=120: