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JoshRosen/SparkPerfResultAnalysis.ipynb

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SparkPerfResultAnalysis.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# `spark-perf` result analysis\n",
"\n",
"This notebook contains scripts for analyzing the results of [spark-perf](https://github.com/databricks/spark-perf) benchmarks.\n",
"\n",
"This notebook requires PySpark and Spark 1.2.0+. I run this using:\n",
"\n",
"```\n",
"PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS=\"notebook\" $SPARK_HOME/bin/pyspark\n",
"```\n",
"\n",
"from the directory containing this notebook.\n",
"\n",
"**Contact**: Josh Rosen `<joshrosen@databricks.com`>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from copy import copy\n",
"import datetime\n",
"import glob\n",
"import json\n",
"import os\n",
"\n",
"from pyspark.sql import *\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set_style(\"darkgrid\", {\"grid.linewidth\": .5, \"axes.facecolor\": \".9\"})\n",
"import pylab\n",
"from IPython.html.widgets import interact\n",
"from IPython.display import display_html, display"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 67
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Many test suites report their results as JSON objects that contain information on the test environment and configuration, such as the Spark version / commit SHA, the contents of SparkConf, environment variables, etc. Using Spark SQL, we can create a SchemaRDD from these JSON objects in order to analyze test results."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sqlContext = HiveContext(sc)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 68
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"RESULTS_DIR = './december-2/11-defaults-results/'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 69
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When running spark-perf, it will produce a results directory that contains one subdirectory per run of bin/run. Each subdirectory contains several log files; we're interested in the *.out files that contain test results. First, list the paths of those files:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results_files = glob.glob(RESULTS_DIR + \"/*_logs/*.out\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 70
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, create an RDD that loads these files, extracts the results lines (which start with \"result: \"), and grabs the JSON objects (which are written on a single line):"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"all_log_lines = sc.union([sc.textFile(f) for f in results_files])\n",
"all_results_jsons = all_log_lines \\\n",
" .filter(lambda x: x.startswith(\"results:\")) \\\n",
" .map(lambda x: x[len(\"results: \"):])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 71
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using SparkSQL, create a SchemaRDD from these logs. In the JSON output that spark-perf writes, some properties have names that contain dots (such as Java system properties like spark.shuffle.manager). Spark SQL does not currently support column names with dots (see [SPARK-2775](https://issues.apache.org/jira/browse/SPARK-2775)), so we'll need to post-process the inferred schema to convert dots into underscores:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results = sqlContext.jsonRDD(all_results_jsons)\n",
"# Workaround for https://issues.apache.org/jira/browse/SPARK-2775\n",
"def cleanSchema(schemaRDD):\n",
" def renameField(field):\n",
" field = copy(field)\n",
" field.name = field.name.replace(\".\", \"_\")\n",
" field.dataType = doCleanSchema(field.dataType)\n",
" return field\n",
" def doCleanSchema(dataType):\n",
" dataType = copy(dataType)\n",
" if isinstance(dataType, StructType):\n",
" dataType.fields = [renameField(f) for f in dataType.fields]\n",
" elif isinstance(dataType, ArrayType):\n",
" dataType.elementType = doCleanSchema(dataType.elementType )\n",
" return dataType\n",
" \n",
" return sqlContext.applySchema(schemaRDD.map(lambda x: x), doCleanSchema(schemaRDD.schema()))\n",
"results = cleanSchema(results)\n",
"results.registerTempTable(\"results\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 72
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here's our table's scehma:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results.printSchema()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"root\n",
" |-- options: struct (nullable = true)\n",
" | |-- closure-size: string (nullable = true)\n",
" | |-- inter-trial-wait: string (nullable = true)\n",
" | |-- key-length: string (nullable = true)\n",
" | |-- num-jobs: string (nullable = true)\n",
" | |-- num-partitions: string (nullable = true)\n",
" | |-- num-records: string (nullable = true)\n",
" | |-- num-tasks: string (nullable = true)\n",
" | |-- num-trials: string (nullable = true)\n",
" | |-- persistent-type: string (nullable = true)\n",
" | |-- random-seed: string (nullable = true)\n",
" | |-- reduce-tasks: string (nullable = true)\n",
" | |-- storage-location: string (nullable = true)\n",
" | |-- unique-keys: string (nullable = true)\n",
" | |-- unique-values: string (nullable = true)\n",
" | |-- value-length: string (nullable = true)\n",
" |-- results: array (nullable = true)\n",
" | |-- element: struct (containsNull = false)\n",
" | | |-- time: double (nullable = true)\n",
" |-- sparkConf: struct (nullable = true)\n",
" | |-- spark_app_id: string (nullable = true)\n",
" | |-- spark_app_name: string (nullable = true)\n",
" | |-- spark_driver_host: string (nullable = true)\n",
" | |-- spark_driver_memory: string (nullable = true)\n",
" | |-- spark_driver_port: string (nullable = true)\n",
" | |-- spark_executor_extraClassPath: string (nullable = true)\n",
" | |-- spark_executor_extraLibraryPath: string (nullable = true)\n",
" | |-- spark_executor_id: string (nullable = true)\n",
" | |-- spark_executor_memory: string (nullable = true)\n",
" | |-- spark_fileserver_uri: string (nullable = true)\n",
" | |-- spark_jars: string (nullable = true)\n",
" | |-- spark_locality_wait: string (nullable = true)\n",
" | |-- spark_master: string (nullable = true)\n",
" | |-- spark_serializer: string (nullable = true)\n",
" | |-- spark_shuffle_blockTransferService: string (nullable = true)\n",
" | |-- spark_shuffle_manager: string (nullable = true)\n",
" | |-- spark_storage_memoryFraction: string (nullable = true)\n",
" | |-- spark_tachyonStore_folderName: string (nullable = true)\n",
" |-- sparkVersion: string (nullable = true)\n",
" |-- systemProperties: struct (nullable = true)\n",
" | |-- SPARK_SUBMIT: string (nullable = true)\n",
" | |-- awt_toolkit: string (nullable = true)\n",
" | |-- file_encoding: string (nullable = true)\n",
" | |-- file_encoding_pkg: string (nullable = true)\n",
" | |-- file_separator: string (nullable = true)\n",
" | |-- java_awt_graphicsenv: string (nullable = true)\n",
" | |-- java_awt_printerjob: string (nullable = true)\n",
" | |-- java_class_path: string (nullable = true)\n",
" | |-- java_class_version: string (nullable = true)\n",
" | |-- java_endorsed_dirs: string (nullable = true)\n",
" | |-- java_ext_dirs: string (nullable = true)\n",
" | |-- java_home: string (nullable = true)\n",
" | |-- java_io_tmpdir: string (nullable = true)\n",
" | |-- java_library_path: string (nullable = true)\n",
" | |-- java_runtime_name: string (nullable = true)\n",
" | |-- java_runtime_version: string (nullable = true)\n",
" | |-- java_specification_name: string (nullable = true)\n",
" | |-- java_specification_vendor: string (nullable = true)\n",
" | |-- java_specification_version: string (nullable = true)\n",
" | |-- java_vendor: string (nullable = true)\n",
" | |-- java_vendor_url: string (nullable = true)\n",
" | |-- java_vendor_url_bug: string (nullable = true)\n",
" | |-- java_version: string (nullable = true)\n",
" | |-- java_vm_info: string (nullable = true)\n",
" | |-- java_vm_name: string (nullable = true)\n",
" | |-- java_vm_specification_name: string (nullable = true)\n",
" | |-- java_vm_specification_vendor: string (nullable = true)\n",
" | |-- java_vm_specification_version: string (nullable = true)\n",
" | |-- java_vm_vendor: string (nullable = true)\n",
" | |-- java_vm_version: string (nullable = true)\n",
" | |-- line_separator: string (nullable = true)\n",
" | |-- os_arch: string (nullable = true)\n",
" | |-- os_name: string (nullable = true)\n",
" | |-- os_version: string (nullable = true)\n",
" | |-- path_separator: string (nullable = true)\n",
" | |-- spark_app_name: string (nullable = true)\n",
" | |-- spark_driver_memory: string (nullable = true)\n",
" | |-- spark_executor_extraClassPath: string (nullable = true)\n",
" | |-- spark_executor_extraLibraryPath: string (nullable = true)\n",
" | |-- spark_executor_memory: string (nullable = true)\n",
" | |-- spark_jars: string (nullable = true)\n",
" | |-- spark_locality_wait: string (nullable = true)\n",
" | |-- spark_master: string (nullable = true)\n",
" | |-- spark_serializer: string (nullable = true)\n",
" | |-- spark_shuffle_blockTransferService: string (nullable = true)\n",
" | |-- spark_shuffle_manager: string (nullable = true)\n",
" | |-- spark_storage_memoryFraction: string (nullable = true)\n",
" | |-- sparkperf_commitSHA: string (nullable = true)\n",
" | |-- sun_arch_data_model: string (nullable = true)\n",
" | |-- sun_boot_class_path: string (nullable = true)\n",
" | |-- sun_boot_library_path: string (nullable = true)\n",
" | |-- sun_cpu_endian: string (nullable = true)\n",
" | |-- sun_cpu_isalist: string (nullable = true)\n",
" | |-- sun_io_unicode_encoding: string (nullable = true)\n",
" | |-- sun_java_command: string (nullable = true)\n",
" | |-- sun_java_launcher: string (nullable = true)\n",
" | |-- sun_jnu_encoding: string (nullable = true)\n",
" | |-- sun_management_compiler: string (nullable = true)\n",
" | |-- sun_nio_ch_bugLevel: string (nullable = true)\n",
" | |-- sun_os_patch_level: string (nullable = true)\n",
" | |-- user_country: string (nullable = true)\n",
" | |-- user_dir: string (nullable = true)\n",
" | |-- user_home: string (nullable = true)\n",
" | |-- user_language: string (nullable = true)\n",
" | |-- user_name: string (nullable = true)\n",
" | |-- user_timezone: string (nullable = true)\n",
" |-- testName: string (nullable = true)\n",
"\n"
]
}
],
"prompt_number": 73
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this schema, `results` is an array of per-test-run times (or other outcome metrics). For example:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results.first().results[:10]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 74,
"text": [
"[Row(time=14.64),\n",
" Row(time=8.676),\n",
" Row(time=7.991),\n",
" Row(time=8.891),\n",
" Row(time=9.513),\n",
" Row(time=8.186),\n",
" Row(time=8.097),\n",
" Row(time=9.476),\n",
" Row(time=8.027),\n",
" Row(time=7.355)]"
]
}
],
"prompt_number": 74
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Helper functions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's define a couple of helper functions that will be helpful when performing our analysis:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def sql_to_df(query):\n",
" \"\"\"\n",
" Runs a query with Spark SQL and returns the result as a Pandas data frame.\n",
" \"\"\"\n",
" res = sqlContext.sql(query).collect()\n",
" dicts = [r.asDict() for r in res]\n",
" return pd.DataFrame(dicts)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 75
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To test this out, print the number of individual jobs that were run:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sql_to_df(\"select count(*) from results lateral view explode(results) r as result\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>c_0</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> 420</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 76,
"text": [
" c_0\n",
"0 420"
]
}
],
"prompt_number": 76
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Building a SchemaRDD with information on Spark commits"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use SparkSQL to extract the SHAs of the commits that were actually tested, then use the `GitPython` library to query a local Spark checkout to get information on those commits. Store the result into a SchemaRDD and register it as a table named `commits`:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"! pip install gitpython;"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Requirement already satisfied (use --upgrade to upgrade): gitpython in /Users/joshrosen/anaconda/lib/python2.7/site-packages\r\n",
"Requirement already satisfied (use --upgrade to upgrade): gitdb>=0.6.0 in /Users/joshrosen/anaconda/lib/python2.7/site-packages (from gitpython)\r\n",
"Requirement already satisfied (use --upgrade to upgrade): smmap>=0.8.3 in /Users/joshrosen/anaconda/lib/python2.7/site-packages (from gitdb>=0.6.0->gitpython)\r\n",
"Cleaning up...\r\n"
]
}
],
"prompt_number": 77
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from git import Repo\n",
"\n",
"repo = Repo(os.environ[\"SPARK_HOME\"])\n",
"commits = (x[0] for x in sqlContext.sql(\"select distinct systemProperties.sparkperf_commitSHA from results\").collect())\n",
"def get_commit_data(sha):\n",
" commit = repo.commit(sha)\n",
" return {\n",
" 'author': str(commit.author),\n",
" 'date': commit.committed_date,\n",
" 'message': commit.message,\n",
" 'sha': sha\n",
" }\n",
"commit_data = sqlContext.jsonRDD(sc.parallelize(json.dumps(get_commit_data(sha)) for sha in commits))\n",
"commit_data.registerTempTable(\"commits\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 78
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sql_to_df(\"select * from commits limit 10\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>author</th>\n",
" <th>date</th>\n",
" <th>message</th>\n",
" <th>sha</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> Patrick Wendell</td>\n",
" <td> 1409722073</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> Andrew Or</td>\n",
" <td> 1416427856</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> Kay Ousterhout</td>\n",
" <td> 1417539984</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 79,
"text": [
" author date \\\n",
"0 Patrick Wendell 1409722073 \n",
"1 Andrew Or 1416427856 \n",
"2 Kay Ousterhout 1417539984 \n",
"\n",
" message \\\n",
"0 [maven-release-plugin] prepare release v1.1.0-... \n",
"1 [maven-release-plugin] prepare release v1.1.1-... \n",
"2 [SPARK-4686] Link to allowed master URLs is br... \n",
"\n",
" sha \n",
"0 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"1 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"2 b97c27ff257f77422ba17903d4e568be738265fb "
]
}
],
"prompt_number": 79
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can join results with commits:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"all_results = sql_to_df(\n",
" 'SELECT sha as sha, sparkVersion, date, message, results, options, systemProperties, testName'\n",
" ' FROM commits, results'\n",
" ' WHERE systemProperties.sparkperf_commitSHA = sha'\n",
")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 80
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"all_results[:3]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>message</th>\n",
" <th>options</th>\n",
" <th>results</th>\n",
" <th>sha</th>\n",
" <th>sparkVersion</th>\n",
" <th>systemProperties</th>\n",
" <th>testName</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> 1409722073</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> (None, 3, 10, None, 800, 400000000, None, 10, ...</td>\n",
" <td> [(13.143,), (8.216,), (8.598,), (9.16,), (9.90...</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> 1.1.0</td>\n",
" <td> (true, sun.awt.X11.XToolkit, UTF-8, sun.io, /,...</td>\n",
" <td> aggregate-by-key-int</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> 1409722073</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> (None, 3, 10, None, 400, 200000000, None, 10, ...</td>\n",
" <td> [(22.707,), (19.036,), (18.273,), (18.345,), (...</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> 1.1.0</td>\n",
" <td> (true, sun.awt.X11.XToolkit, UTF-8, sun.io, /,...</td>\n",
" <td> aggregate-by-key-naive</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> 1409722073</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> (None, 3, 10, None, 400, 2000000000, None, 10,...</td>\n",
" <td> [(174.248,), (168.312,), (168.131,), (166.572,...</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> 1.1.0</td>\n",
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"</table>\n",
"</div>"
],
"metadata": {},
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"prompt_number": 81,
"text": [
" date message \\\n",
"0 1409722073 [maven-release-plugin] prepare release v1.1.0-... \n",
"1 1409722073 [maven-release-plugin] prepare release v1.1.0-... \n",
"2 1409722073 [maven-release-plugin] prepare release v1.1.0-... \n",
"\n",
" options \\\n",
"0 (None, 3, 10, None, 800, 400000000, None, 10, ... \n",
"1 (None, 3, 10, None, 400, 200000000, None, 10, ... \n",
"2 (None, 3, 10, None, 400, 2000000000, None, 10,... \n",
"\n",
" results \\\n",
"0 [(13.143,), (8.216,), (8.598,), (9.16,), (9.90... \n",
"1 [(22.707,), (19.036,), (18.273,), (18.345,), (... \n",
"2 [(174.248,), (168.312,), (168.131,), (166.572,... \n",
"\n",
" sha sparkVersion \\\n",
"0 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 1.1.0 \n",
"1 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 1.1.0 \n",
"2 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 1.1.0 \n",
"\n",
" systemProperties testName \n",
"0 (true, sun.awt.X11.XToolkit, UTF-8, sun.io, /,... aggregate-by-key-int \n",
"1 (true, sun.awt.X11.XToolkit, UTF-8, sun.io, /,... aggregate-by-key-naive \n",
"2 (true, sun.awt.X11.XToolkit, UTF-8, sun.io, /,... aggregate-by-key-naive "
]
}
],
"prompt_number": 81
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Inspecting Spark configurations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `options` field only describes the test options used to configure the tests; we also need to know about the Spark settings (e.g. the shuffle manager or compression codec).\n",
"\n",
"Let's write a function that extracts the Spark configuration from the `systemProperties` field:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_spark_conf(propertiesRow):\n",
" props_dict = propertiesRow.asDict()\n",
" conf = {}\n",
" for (k, v) in props_dict.iteritems():\n",
" if k.startswith(\"spark_\"):\n",
" conf[k] = v\n",
" # This is `tuple` so that the result can be used as a dictionary key:\n",
" return tuple(sorted(conf.iteritems()))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 82
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"get_spark_conf(list(all_results[\"systemProperties\"])[0])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 83,
"text": [
"((u'spark_app_name', u'spark.perf.TestRunner'),\n",
" (u'spark_driver_memory', u'10g'),\n",
" (u'spark_executor_extraClassPath', u'/root/ephemeral-hdfs/conf'),\n",
" (u'spark_executor_extraLibraryPath', u'/root/ephemeral-hdfs/lib/native/'),\n",
" (u'spark_executor_memory', u'27357m'),\n",
" (u'spark_jars',\n",
" u'file:/mnt/spark-perf/spark-tests/target/spark-perf-tests-assembly.jar'),\n",
" (u'spark_locality_wait', u'60000000'),\n",
" (u'spark_master',\n",
" u'spark://ec2-54-68-74-63.us-west-2.compute.amazonaws.com:7077'),\n",
" (u'spark_serializer', u'org.apache.spark.serializer.JavaSerializer'),\n",
" (u'spark_shuffle_blockTransferService', u'nio'),\n",
" (u'spark_shuffle_manager', u'hash'),\n",
" (u'spark_storage_memoryFraction', u'0.66'))"
]
}
],
"prompt_number": 83
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Determining how many early runs to discard as JIT warmup runs:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some tests may be slower until the JIT kicks in. For each result, plot a time-series view of its individual test times so that we can determine the number of initial test runs to discard:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for series in list(all_results[\"results\"].apply(lambda x: [y.time for y in x])):\n",
" plt.plot(series)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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NlDp5LTRrbasQH7mWWTmi8qapRthy3LitmXDnxdNYvUaYnJop2HTQWfaf84Zj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\nizLzd9TjEz62H69Q9fhFY/pf94V3s6h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"text": [
"<matplotlib.figure.Figure at 0x119888510>"
]
}
],
"prompt_number": 137
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"WARMUP_RUNS = 3"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 130
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Grouping similar test configurations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to perform a fair \"apples-to-apples\" comparision across Spark versions, let's group our test results based on the Spark configuration and test configurations:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from collections import defaultdict\n",
"all_results[\"sparkConf\"] = all_results[\"systemProperties\"].apply(get_spark_conf)\n",
"grouped_results = all_results.groupby([\"testName\", \"options\", \"sparkConf\"])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 97
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It's often the case that only a subset of configuration parameters are sweeped / changed across test runs; most parameters stay the same. Therefore, we'll write a pair of functions to identify and subtract out the common configurations so that it's easier to spot the differences."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_common_entries(dictionaries):\n",
" from collections import Counter\n",
" from itertools import chain\n",
" # A common configuration is a key-value pair that's present in all dictionaries\n",
" entry_counts = Counter(chain.from_iterable(d.iteritems() for d in dictionaries))\n",
" common_entries = (e for (e, count) in entry_counts.items() if count == len(dictionaries))\n",
" return dict(common_entries)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 138
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"get_common_entries(({'a' : 1, 'b': 2, 'c': 3}, {'a': 1, 'b': 100}))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 139,
"text": [
"{'a': 1}"
]
}
],
"prompt_number": 139
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"common_spark_conf = get_common_entries([dict(sparkConf) for (_, testOptions, sparkConf) in grouped_results.groups])\n",
"common_spark_conf"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 140,
"text": [
"{u'spark_app_name': u'spark.perf.TestRunner',\n",
" u'spark_driver_memory': u'10g',\n",
" u'spark_executor_extraClassPath': u'/root/ephemeral-hdfs/conf',\n",
" u'spark_executor_extraLibraryPath': u'/root/ephemeral-hdfs/lib/native/',\n",
" u'spark_executor_memory': u'27357m',\n",
" u'spark_jars': u'file:/mnt/spark-perf/spark-tests/target/spark-perf-tests-assembly.jar',\n",
" u'spark_locality_wait': u'60000000',\n",
" u'spark_master': u'spark://ec2-54-68-74-63.us-west-2.compute.amazonaws.com:7077',\n",
" u'spark_serializer': u'org.apache.spark.serializer.JavaSerializer',\n",
" u'spark_shuffle_blockTransferService': u'nio',\n",
" u'spark_shuffle_manager': u'hash',\n",
" u'spark_storage_memoryFraction': u'0.66'}"
]
}
],
"prompt_number": 140
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"common_test_conf = get_common_entries([testOptions.asDict() for (_, testOptions, sparkConf) in grouped_results.groups])\n",
"common_test_conf"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 144,
"text": [
"{u'inter-trial-wait': u'3', u'num-trials': u'10', u'random-seed': u'5'}"
]
}
],
"prompt_number": 144
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def subtract_dict(a, b):\n",
" return dict(set(a.items()) - set(b.items()))\n",
"subtract_dict({'a': 1, 'b': 2}, {'a': 1})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 146,
"text": [
"{'b': 2}"
]
}
],
"prompt_number": 146
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Searching for regressions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's search for cases where we've run the same test configuration (#mappers, #reducers, data size, etc.) with different Spark commits, then build a table that shows the relative performance of the newest revision to other revisions. This will make it easy to spot potential performance regressions:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for group in grouped_results.groups:\n",
" (testName, testOptions, sparkConf) = group\n",
" test_outcomes = grouped_results.get_group(group).sort(\"date\", ascending=False)\n",
" test_outcomes[\"results\"] = test_outcomes[\"results\"].apply(lambda x: [y[0] for y in x][WARMUP_RUNS:])\n",
" test_outcomes[\"avg\"] = test_outcomes[\"results\"].apply(np.mean)\n",
" test_outcomes[\"std\"] = test_outcomes[\"results\"].apply(np.std)\n",
" test_outcomes[\"raw_date\"] = test_outcomes[\"date\"]\n",
" test_outcomes[\"date\"] = pd.to_datetime(test_outcomes[\"date\"], unit='s')\n",
" test_outcomes[\"pct_slowdown\"] = (test_outcomes[\"avg\"] / list(test_outcomes[\"avg\"])[-1] - 1) * 100\n",
" test_outcomes\n",
" display_html(\"<h3>{0}</h3\".format(testName), raw=True)\n",
" # Display a time-series view of the average:\n",
" # Display a table showing the same data:\n",
" display(test_outcomes[[\"sparkVersion\", \"date\", \"sha\", \"message\", \"avg\", \"std\", \"pct_slowdown\"]])\n",
" # Display information on the test configuration:\n",
" display(subtract_dict(testOptions.asDict(), common_test_conf))\n",
" display(subtract_dict(dict(sparkConf), common_spark_conf))\n",
" test_outcomes[[\"avg\", \"date\"]].set_index([\"date\"]).plot(linestyle='--', marker='o', color='g')\n",
" plt.figure(figsize=(3,4))\n",
" plt.show();"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<h3>aggregate-by-key-naive</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>29</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 18.897286</td>\n",
" <td> 0.154582</td>\n",
" <td> 3.742481</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 17.671714</td>\n",
" <td> 0.119190</td>\n",
" <td>-2.985672</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 18.215571</td>\n",
" <td> 0.147676</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"29 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"15 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"1 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"29 [SPARK-4686] Link to allowed master URLs is br... 18.897286 0.154582 \n",
"15 [maven-release-plugin] prepare release v1.1.1-... 17.671714 0.119190 \n",
"1 [maven-release-plugin] prepare release v1.1.0-... 18.215571 0.147676 \n",
"\n",
" pct_slowdown \n",
"29 3.742481 \n",
"15 -2.985672 \n",
"1 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'200000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
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FJX1jTJN1atvpoFJQSXkJg7sPjrj/qxWv1j5NLNFKQaf0PYVT+p4S72ZETWL9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\nBV8FdMAN9/sNrgy3EfffsHY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"text": [
"<matplotlib.figure.Figure at 0x11a61df50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11961b990>"
]
},
{
"html": [
"<h3>sort-by-key-int</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>37</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 2.864571</td>\n",
" <td> 0.171555</td>\n",
" <td> 2.389706</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 2.748571</td>\n",
" <td> 0.163861</td>\n",
" <td>-1.756536</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 2.797714</td>\n",
" <td> 0.129721</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"37 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"23 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"9 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"37 [SPARK-4686] Link to allowed master URLs is br... 2.864571 0.171555 \n",
"23 [maven-release-plugin] prepare release v1.1.1-... 2.748571 0.163861 \n",
"9 [maven-release-plugin] prepare release v1.1.0-... 2.797714 0.129721 \n",
"\n",
" pct_slowdown \n",
"37 2.389706 \n",
"23 -1.756536 \n",
"9 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'80',\n",
" u'num-records': u'40000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'80',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'4000',\n",
" u'unique-values': u'200000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
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TXZRDFog2lezBiEgnYBYwRVWnV7F/JvCwqi7wfr8X1yT0oPf7e8BJqloc7Rql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\nXlFHh49LhljCZP9UCS2Bz73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"text": [
"<matplotlib.figure.Figure at 0x1077ee550>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x10d075750>"
]
},
{
"html": [
"<h3>aggregate-by-key-int</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>28</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 8.506429</td>\n",
" <td> 0.749008</td>\n",
" <td> 5.696180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 7.743571</td>\n",
" <td> 0.943744</td>\n",
" <td>-3.782661</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 8.048000</td>\n",
" <td> 0.977475</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"28 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"14 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"0 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"28 [SPARK-4686] Link to allowed master URLs is br... 8.506429 0.749008 \n",
"14 [maven-release-plugin] prepare release v1.1.1-... 7.743571 0.943744 \n",
"0 [maven-release-plugin] prepare release v1.1.0-... 8.048000 0.977475 \n",
"\n",
" pct_slowdown \n",
"28 5.696180 \n",
"14 -3.782661 \n",
"0 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'800',\n",
" u'num-records': u'400000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'800',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'40000',\n",
" u'unique-values': u'2000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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USML33AEMBLYBS0TkCVXd7GcZjDG1a5/RntE9RjO6x+g699lWsY0LX7+QynAl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\nedt/AfwbN9HTOlUdH/XaIMb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"text": [
"<matplotlib.figure.Figure at 0x119e84b90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11947efd0>"
]
},
{
"html": [
"<h3>count</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>35</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 0.372857</td>\n",
" <td> 0.050569</td>\n",
" <td>-6.852248</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 0.395143</td>\n",
" <td> 0.049646</td>\n",
" <td>-1.284797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 0.400286</td>\n",
" <td> 0.044113</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"35 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"21 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"7 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"35 [SPARK-4686] Link to allowed master URLs is br... 0.372857 0.050569 \n",
"21 [maven-release-plugin] prepare release v1.1.1-... 0.395143 0.049646 \n",
"7 [maven-release-plugin] prepare release v1.1.0-... 0.400286 0.044113 \n",
"\n",
" pct_slowdown \n",
"35 -6.852248 \n",
"21 -1.284797 \n",
"7 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'200000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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GmFbirF5nMbDLQI7pdMxBX8OSvjHGtBJZKVkcm33sIV3DmneMMSaOWNI3xpg4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\nrvveXtx8Ritx/aBvUNUV4c1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"text": [
"<matplotlib.figure.Figure at 0x11a978210>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11947ea90>"
]
},
{
"html": [
"<h3>count</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>36</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 0.507571</td>\n",
" <td> 0.234950</td>\n",
" <td> 18.196939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 0.454714</td>\n",
" <td> 0.061134</td>\n",
" <td> 5.888224</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 0.429429</td>\n",
" <td> 0.044730</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"36 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"22 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"8 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"36 [SPARK-4686] Link to allowed master URLs is br... 0.507571 0.234950 \n",
"22 [maven-release-plugin] prepare release v1.1.1-... 0.454714 0.061134 \n",
"8 [maven-release-plugin] prepare release v1.1.0-... 0.429429 0.044730 \n",
"\n",
" pct_slowdown \n",
"36 18.196939 \n",
"22 5.888224 \n",
"8 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'2000000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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S5+4JMxsHrE5+n8xsEHA+8C4wGPgQ+Iu7f1zfz27xNX0zKyYs7Xxsym3OHsAj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\nh5fMJgw2KQPGu/v7FpZA/yZ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"text": [
"<matplotlib.figure.Figure at 0x11982fd10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a8a2b10>"
]
},
{
"html": [
"<h3>sort-by-key-int</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>38</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 26.359714</td>\n",
" <td> 0.881785</td>\n",
" <td> -3.906384</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 23.932429</td>\n",
" <td> 0.613263</td>\n",
" <td>-12.754988</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 27.431286</td>\n",
" <td> 2.846317</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"38 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"24 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"10 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"38 [SPARK-4686] Link to allowed master URLs is br... 26.359714 0.881785 \n",
"24 [maven-release-plugin] prepare release v1.1.1-... 23.932429 0.613263 \n",
"10 [maven-release-plugin] prepare release v1.1.0-... 27.431286 2.846317 \n",
"\n",
" pct_slowdown \n",
"38 -3.906384 \n",
"24 -12.754988 \n",
"10 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'80',\n",
" u'num-records': u'400000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'80',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'4000',\n",
" u'unique-values': u'200000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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59ahTmfTZJGZ8M8PvsKJOMBhk0rpJJCYk0vv43n6HUyDrvWOMOawWdVow+6LZ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\nuqrUgy5AvJXH83dgHdAdlwD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Ye0hbGIXup+/1qGiNu9VZ5b33pwFXsSLeyhNOonjgSyRi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\nkvZ1kR+cAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x119a32550>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
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]
},
{
"html": [
"<h3>count-with-filter</h3"
],
"metadata": {},
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{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>33</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 0.663000</td>\n",
" <td> 0.116586</td>\n",
" <td> 23.826041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 0.527286</td>\n",
" <td> 0.039184</td>\n",
" <td> -1.520811</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 0.535429</td>\n",
" <td> 0.061623</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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],
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"text": [
" sparkVersion date sha \\\n",
"33 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"19 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"5 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"33 [SPARK-4686] Link to allowed master URLs is br... 0.663000 0.116586 \n",
"19 [maven-release-plugin] prepare release v1.1.1-... 0.527286 0.039184 \n",
"5 [maven-release-plugin] prepare release v1.1.0-... 0.535429 0.061623 \n",
"\n",
" pct_slowdown \n",
"33 23.826041 \n",
"19 -1.520811 \n",
"5 0.000000 "
]
},
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" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'200000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
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KJ3s1J5bWJP35wAnATDM7GFictm0p0NPM9ooe1E4A7gDebuKYelauXNmK4jWurKyMioqK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\nMpnk+gXXN9hF+J1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"text": [
"<matplotlib.figure.Figure at 0x11a61df90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a0c1e50>"
]
},
{
"html": [
"<h3>count-with-filter</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>34</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 3.498286</td>\n",
" <td> 0.034706</td>\n",
" <td>-1.134483</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 3.627571</td>\n",
" <td> 0.036067</td>\n",
" <td> 2.519278</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 3.538429</td>\n",
" <td> 0.050937</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"34 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"20 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"6 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"34 [SPARK-4686] Link to allowed master URLs is br... 3.498286 0.034706 \n",
"20 [maven-release-plugin] prepare release v1.1.1-... 3.627571 0.036067 \n",
"6 [maven-release-plugin] prepare release v1.1.0-... 3.538429 0.050937 \n",
"\n",
" pct_slowdown \n",
"34 -1.134483 \n",
"20 2.519278 \n",
"6 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'2000000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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MCo8LtSF3DjBDRJYBKcAtwGgRaaKqU0XkTmAJ8B2wUFXDnii6ZcOWnNv5XFtX\n1hgT15J8SVza7VJ2FO5g38F9NV6vH2pDbiEwppL9s3D1+hXtP6PKN/NDemo608+abgHfGJMQanNe\n/agfnJWems7Ky1dawDfGmBoQ1a2h6Y2shG+MMTUpqkv6VsI3xpiaFdUlfQv4xhhTs6I66BtjTCKb\n+9lcJr42kYMlB2vsmhb0jTEmSq38eiWvfvkq73z1To1d04K+McZEqeEdhwOwaOOiGrumBX1jjIlS\ngzIG0aheIxZuXFhj17Sgb4wxUapBcgOGtB/C+j3r+XLvlzVyTQv6xhgTxUZ0HAHUXBVPVPfTN8aY\nRHfusedyXPPjOCn9pBq5ngV9Y4yJYq0atuLUdqfW2PWsescYYxKIBX1jjEkgFvSNMSaBWNA3xpgY\n8fWBr9n57c6wrmFB3xhjYsCijYs48Z8nMvPjmWFdJ+TeOyKSDEwFuuHWx52kquuC9t8GTAS2e5uu\nBb4E/gF0AhoA96vqy6GmwRhjEkW/Nv1I8iWxcONCbu57c8jXCaekPwooVdXBwL3A5LJpBMar6hne\nf58C44Dtqno6cA7w5zDub4wxCeOYhsfQv01/3v/6fXZ9uyvk64Qc9FV1HnCd97EzsLvMIf2Bu0Xk\nTW+hdIDngfuC7l0c6v2NMSbRjOg4glJ/KUs3Lw35GmHV6atqiYjMAP4I5JbZPQv3UBgGDBaRkapa\noKr7RaQp7gFwTzj3N8aYRFITs276/H5/2AkRkbbACqC7qhZ625qp6l7v5+uBVqp6v4h0AF4Apqjq\njMquW1RU5E9JSQk7fcYYEw/8fj9DnhxCdqdsJg8vW6P+PRUuOxhy0BeR8UCmqj4oIs2A1UAPVf1W\nRJoDa4AewAHgOWA6sApYCtygqkuOdo/8/Pzwn0jlyMjIID8/vzYuXefiKS9g+Yl2lp/oFZyXjIyM\nCoN+ONU7c4ATRWQZsAC4BRgtIteo6h7gTmAJ8AawVlUXAHcDzYH7RGSJ91/DMNJgjDGmGkLusulV\n44ypZP8sXL1+8LZbcA8HY4wxEWCDs4wxJoFY0DfGmARiQd8YY2JMSWkJU1ZP4eF3H672uRb0jTEm\nxiQnJfOsPssTHz7Bt8XfVutcC/rGGBODRnQcQWFxIW/nv12t8yzoG2NMDAqMzl24cWG1zrOgb4wx\nMejk9JNpktKERRsXUZ1Bthb0jTEmBtVPrk92ZjYb9m1g/Z71VT7Pgr4xxsSom/rexL8v+jfHNT+u\nyueEPCJvzZCVAAAZhUlEQVTXGGNMZPVO613tc6ykb4wxCcSCvjHGJBAL+sYYk0As6BtjTBz4YvcX\nlPpLj3qcBX1jjIlxk1dM5rg/HsfaHWuPeqwFfWOMiXG90noBVRuda0HfGGNiXHZmNsm+5CotmG5B\n3xhjYlzzBs0Z3HEwq7evZkfhjkqPDXlwlogkA1OBboAfmKSq64L23wZMBLZ7m64FPgP+CvQGvgN+\npKpVHz9sjDGmXCOPH8myDctYsmkJvY7rVeFx4ZT0RwGlqjoYuBeYXGZ/P2C8qp7h/fcpMBqor6qn\n4hZO/30Y9zfGGOMZ2W0k3Y7pRrIvudLjQg76qjoPuM772BnYXeaQ/sDdIvKmiNzpbTsNWOCdvwIY\nEOr9jTHGHNajdQ+W/mApo7uOxufz+So6Lqy5d1S1RERm4Erwl5bZPQuYAuwDXhSRkUAzYG/QMSUi\nkqSq5XYuTUtLIyUlJZwkVigjI6NWrhsJ8ZQXsPxEO8tPdPL7/Vz+n8tZ/MViuI8SKijUhz3hmqpe\nKSJ3ACtEpLuqFnq7HlfVvQAiMh/oiwv4TYNOrzDgA+zYUXmDRKgyMjLIz8+vlWvXtXjKC1h+op3l\nJ3pd/p/LWfzl4kCor7CkH3L1joiMF5G7vI+FQCmuQRcRaQ58KCKNRcQHDAPeA94CzvOOOQVYE+r9\njTHGOH6/35XwKwz1h4XTkDsHOFFEluHq6W8BRovINaq6B9dQuwR4A1irqguAF4FvReQtXCPubWHc\n3xhjTDWFXL3jVeOMqWT/LFy9fvA2P3B9qPc0xhhzJJ/Px7Bjh7nqnaOU9m1wljHGxIGFExaSnpp+\n1OMs6BtjTBzw+XxMP2s66Y3SoZQtFR1nQd8YY+JE37Z9WXn5Svg/OlR0jAV9Y4yJIz6fD7/f769o\nvwV9Y4xJIBb0jTEmgVjQN8aYBGJB3xhjEogFfWOMSSAW9I0xJoFY0DfGmARiQd8YYxKIBX1jjEkg\nFvSNMSaBWNA3xpgEYkHfGGMSiAV9Y4xJICGtnCUiycBUoBtuXdxJqrqunOP+DuxU1btEJAmY5p1T\nClyjqhpyyo0xxlRbqCX9UUCpqg4G7gUmlz1ARK4DTsBbLB04C2jsnfN/5Z1jjDGmdoUU9FV1HnCd\n97EzsDt4v4icCpwMPMHhFRsLgeYi4gOaAwdDubcxxpjQhbMweomIzABGA5cGtotIBnCftz144fS3\ngIZAHtAKOD/UextjjAmNr5IFVqpERNoCK4DuqlooIjcBE4B9QDqQinsItMdV79wjIpnAYuAEVbUS\nvzHG1JGQqndEZLyI3OV9LMQ1zPoBVPVPqjpAVc8AHgJmqupTQGNgr3fObiAFSA4n8cYYY6on1Ibc\nOcCJIrIMWADcAowWkWsqOecR4BQReRNYBNylqoUh3t8YY0wIwq7eMcYYEztscJYxxiQQC/rGGJNA\nLOgbY0wCidugLyItRaRzpNNRU+ItP8aYyIjLoO/NDfQcMF5EmkQ6PeGKw/x0E5FzvXzFvDjMz8ki\n8pNIp6MmxFNeAkTkdG/Wg5DEXdAXkXpAI+9jO+D0CCYnbPGWH89PgOuB3pFOSA2Jt/zkAD8UkX4A\n3tQpsSqe8hLwMHCxiLSD6ucpLoK+iLQL/AOoajHQBtgIKHCciAwQkeaRTGN1xFt+AkQkxfuxHrAH\nGCwi9SOYpLDEYX4C07IcBJbgza+lqjHXrzue8hIgIkki0h74BvedOw2qn6eYD/oikgr8Hjg76Il3\nLG4A2UJgEvA4bpK3qBeH+ekpIsMBVLXIC4pbgVdwD7MbReTESKaxOuIwP8NF5ApwBQwRaQQcD/wZ\nSBKRR0UkJt4u4ywvPu//2YHvk6qW4qa1Wen911tEfiQiHapz7ZgN+kEB8UwgG+gDDPC2NQAeBP4I\nfAIsxU37ELXiLT9Bfo57FQ18MTvgvnf/Bc4FbsR9kWPl1Tve8vMD4BIRae197owLKB1xM+WeB2yO\nTNKqLW7yoqp+76H1K2CoVxgEtx7Jp8DXwBW46qsD1bl2zAV9r8HsJNxMnQF3A9uAk0WkAe6P7hXg\nEuBK73PXOk5qlcRbfoKJyCnAqbi3kjO8hXS+w82wOgOYD7wAZED0v3rHQ36CG5tF5HygB7AJuMnb\nXIp7m/w5bt2Ll3DBNOrEU14qMBE3UWVnYLC3rR4uPlwDTAf+h3sQVFnIUyvXJa/E1BRX2u0BvIH7\n4zsTeFNVd4nIBcBQoL+qzsFVhwTOf0hVt9V5wisQb/kJEJEfAy2B5aq6GFftMQH3pT0B6A7sAv4E\nPKOq34nIjUTp2grxlB+vpPgIsEtE1qnqs8B7uKrE9cC9XjXCl8AVXn4RkZ24N82oEU95CfDy9Gvg\nY2Cdqq7A5WksLg70E5G3cd+3O1T1Re+8e4Bvq3OvqJ97R0SSVLXUa9j8KzDa+/wioKp6p3dcI+BW\n3Gyf/1TVzSJSz2sIDVzLF+nSVzzmB1d4eAhXp/0ccBswTVVnese08bZtAmao6oGg8+tH0/Ta8ZYf\nOBRQ7scFhxdwJcQ7gNe9dTGa4kqOHVT1tqDzIv79Kiue8hIgbqr5KcBHwCrcVPRnA/lebBgEXAYs\nVtWXy5xb7XxFdfWOiEwEpojIYCAT+Azo6+2+GcgRkY4A3oyd/8W9WrfythUHXy/Sv/Q4zE9LVS31\nglxD4G+q+hLuVfqXgddvVf0al5duuFLLofruaAqQcZgf8X4sAvoDT6rqe8DvgAsBAVDVfcB/gPYi\nMsY7N6qCZDzlJUDcglMAxbiH2K9V9TngZeBPXsMtqvo/3BvMYBHp6Z0b+L5VO19RGfRFpL64RdVP\nB9YC1wJtcXXZx4lIM1XdBMzGPeUBUNVlwK9U9YMIJLtCcZifZBF5EJglIr8UkSG4hqU2ItJQVZcA\na3AlsoCFuHaKHRD5B1awOMxPZ+/79g8vX9nAv3Cr2aGqz+CWMe0fdNoXwExct+CoyU885SVARI4T\nt+rgVBH5EW58x5dAoJfOXcAJInJG0GmLcVU7e7xjQs5TVAZ9XONFP1WdoKpTcOncj2uIOQ04yTvu\nXeB9+N6Tb3cU9pqIm/x4afkpUB/X0NQB1ztiNy4fgV4tdwGDxBtB7L25/FZV36nzRFci3vLjuQm3\nLOlIXAAcjOu10t7rNABuHYyrAyeo6gFVnaeqq+s6sUcRT3lBRBrj3hyXAL8AhuFK+g2AvuJWIgR4\nDPhh4DxV/UhVf6uqYfc+isqgr6pfADO8fyBwrz5JwGu4LotXichfgV8CG7xz/EHnR9WTPZ7y46Xl\nYuA57wu4GhiIa59oDozy6l2PA95R1f1B55ZGIMmVirf8iEhLXFffp1X1G9ySpcXA67ig+TPv0ObA\nm3J4EFPUiae8BEkDBqnqU6q6CtfDqCmu91dP3MMNXAeCN2ojAREP+iJymbgRpmne5xQAVf2zqhaI\nSG9cfd1iVS0BnscFx1XAYFVdGKm0l8fLT1/vCxsP+cn0GpqCR6BejUsvQBPgY68u+0ncF/hfwL3A\n8jpObpWJiM9rtIUYzo+ItAj6OUlVdwE3quoOb3MjYJVX1/0XIF9E5gBXAbll24kiSb7fBTM5lvMS\nEPQdC+RpA3Bp0L4S4FPvrWQ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"text": [
"<matplotlib.figure.Figure at 0x11a267d50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a8a2350>"
]
},
{
"html": [
"<h3>aggregate-by-key-naive</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>30</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 178.145571</td>\n",
" <td> 1.404643</td>\n",
" <td> 6.587102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 166.198143</td>\n",
" <td> 1.337895</td>\n",
" <td>-0.561219</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 167.136143</td>\n",
" <td> 0.875722</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"30 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"16 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"2 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"30 [SPARK-4686] Link to allowed master URLs is br... 178.145571 1.404643 \n",
"16 [maven-release-plugin] prepare release v1.1.1-... 166.198143 1.337895 \n",
"2 [maven-release-plugin] prepare release v1.1.0-... 167.136143 0.875722 \n",
"\n",
" pct_slowdown \n",
"30 6.587102 \n",
"16 -0.561219 \n",
"2 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'2000000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
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4IiI58MBRDzC4fHDj69QMv/nUng/Ze5C7GHg8+nkC8AtgKqEd/1MAM5sM7AHM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\nSprULkcQerccTqiB7dzBRW0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"text": [
"<matplotlib.figure.Figure at 0x11a978150>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a267150>"
]
},
{
"html": [
"<h3>aggregate-by-key</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>32</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 18.053143</td>\n",
" <td> 0.254805</td>\n",
" <td> 0.350989</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 18.016571</td>\n",
" <td> 0.306975</td>\n",
" <td> 0.147701</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 17.990000</td>\n",
" <td> 0.274381</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"32 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"18 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"4 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"32 [SPARK-4686] Link to allowed master URLs is br... 18.053143 0.254805 \n",
"18 [maven-release-plugin] prepare release v1.1.1-... 18.016571 0.306975 \n",
"4 [maven-release-plugin] prepare release v1.1.0-... 17.990000 0.274381 \n",
"\n",
" pct_slowdown \n",
"32 0.350989 \n",
"18 0.147701 \n",
"4 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'2000000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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"text": [
"<matplotlib.figure.Figure at 0x10c6f6ed0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a9781d0>"
]
},
{
"html": [
"<h3>scheduling-throughput</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>41</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 2.786000</td>\n",
" <td> 0.101656</td>\n",
" <td>-20.253527</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 3.511286</td>\n",
" <td> 0.061588</td>\n",
" <td> 0.507054</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 3.493571</td>\n",
" <td> 0.028127</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"41 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"27 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"13 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"41 [SPARK-4686] Link to allowed master URLs is br... 2.786000 0.101656 \n",
"27 [maven-release-plugin] prepare release v1.1.1-... 3.511286 0.061588 \n",
"13 [maven-release-plugin] prepare release v1.1.0-... 3.493571 0.028127 \n",
"\n",
" pct_slowdown \n",
"41 -20.253527 \n",
"27 0.507054 \n",
"13 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': u'0',\n",
" u'key-length': None,\n",
" u'num-jobs': u'1',\n",
" u'num-partitions': None,\n",
" u'num-records': None,\n",
" u'num-tasks': u'10000',\n",
" u'persistent-type': None,\n",
" u'reduce-tasks': None,\n",
" u'storage-location': None,\n",
" u'unique-keys': None,\n",
" u'unique-values': None,\n",
" u'value-length': None}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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FHRi9x2je2/AeqzetznR1mkTLMIiI7IKrRl9Fjw49KCkqyXRVmkRJX0RkF/Tr3C/TVWiW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\nsC7ma4qISBPF3r0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"text": [
"<matplotlib.figure.Figure at 0x1198cfd90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x10d188590>"
]
},
{
"html": [
"<h3>sort-by-key</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>40</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 24.945571</td>\n",
" <td> 0.596441</td>\n",
" <td> 4.908410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 23.832429</td>\n",
" <td> 0.858637</td>\n",
" <td> 0.227097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 23.778429</td>\n",
" <td> 1.233640</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"40 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"26 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"12 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"40 [SPARK-4686] Link to allowed master URLs is br... 24.945571 0.596441 \n",
"26 [maven-release-plugin] prepare release v1.1.1-... 23.832429 0.858637 \n",
"12 [maven-release-plugin] prepare release v1.1.0-... 23.778429 1.233640 \n",
"\n",
" pct_slowdown \n",
"40 4.908410 \n",
"26 0.227097 \n",
"12 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'40',\n",
" u'num-records': u'200000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'40',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'2000',\n",
" u'unique-values': u'100000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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"text": [
"<matplotlib.figure.Figure at 0x11a62f1d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x1073c9650>"
]
},
{
"html": [
"<h3>sort-by-key</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>39</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 2.955857</td>\n",
" <td> 0.188661</td>\n",
" <td> 7.810546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 2.771143</td>\n",
" <td> 0.153663</td>\n",
" <td> 1.073364</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 2.741714</td>\n",
" <td> 0.114998</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"39 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"25 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"11 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"39 [SPARK-4686] Link to allowed master URLs is br... 2.955857 0.188661 \n",
"25 [maven-release-plugin] prepare release v1.1.1-... 2.771143 0.153663 \n",
"11 [maven-release-plugin] prepare release v1.1.0-... 2.741714 0.114998 \n",
"\n",
" pct_slowdown \n",
"39 7.810546 \n",
"25 1.073364 \n",
"11 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'40',\n",
" u'num-records': u'20000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'40',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'2000',\n",
" u'unique-values': u'100000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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"text": [
"<matplotlib.figure.Figure at 0x11aa7cf50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x10c793150>"
]
},
{
"html": [
"<h3>aggregate-by-key</h3"
],
"metadata": {},
"output_type": "display_data"
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sparkVersion</th>\n",
" <th>date</th>\n",
" <th>sha</th>\n",
" <th>message</th>\n",
" <th>avg</th>\n",
" <th>std</th>\n",
" <th>pct_slowdown</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>31</th>\n",
" <td> 1.2.0</td>\n",
" <td>2014-12-02 17:06:24</td>\n",
" <td> b97c27ff257f77422ba17903d4e568be738265fb</td>\n",
" <td> [SPARK-4686] Link to allowed master URLs is br...</td>\n",
" <td> 3.520714</td>\n",
" <td> 0.318255</td>\n",
" <td> 10.908600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td> 1.1.1</td>\n",
" <td>2014-11-19 20:10:56</td>\n",
" <td> 3693ae5d3c01861557e06edbc32a8112683f3d86</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.1-...</td>\n",
" <td> 3.146286</td>\n",
" <td> 0.104379</td>\n",
" <td> -0.886549</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3 </th>\n",
" <td> 1.1.0</td>\n",
" <td>2014-09-03 05:27:53</td>\n",
" <td> 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460</td>\n",
" <td> [maven-release-plugin] prepare release v1.1.0-...</td>\n",
" <td> 3.174429</td>\n",
" <td> 0.094288</td>\n",
" <td> 0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "display_data",
"text": [
" sparkVersion date sha \\\n",
"31 1.2.0 2014-12-02 17:06:24 b97c27ff257f77422ba17903d4e568be738265fb \n",
"17 1.1.1 2014-11-19 20:10:56 3693ae5d3c01861557e06edbc32a8112683f3d86 \n",
"3 1.1.0 2014-09-03 05:27:53 2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 \n",
"\n",
" message avg std \\\n",
"31 [SPARK-4686] Link to allowed master URLs is br... 3.520714 0.318255 \n",
"17 [maven-release-plugin] prepare release v1.1.1-... 3.146286 0.104379 \n",
"3 [maven-release-plugin] prepare release v1.1.0-... 3.174429 0.094288 \n",
"\n",
" pct_slowdown \n",
"31 10.908600 \n",
"17 -0.886549 \n",
"3 0.000000 "
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{u'closure-size': None,\n",
" u'key-length': u'10',\n",
" u'num-jobs': None,\n",
" u'num-partitions': u'400',\n",
" u'num-records': u'200000000',\n",
" u'num-tasks': None,\n",
" u'persistent-type': u'memory',\n",
" u'reduce-tasks': u'400',\n",
" u'storage-location': u'hdfs://:9000/spark-perf-kv-data',\n",
" u'unique-keys': u'20000',\n",
" u'unique-values': u'1000000',\n",
" u'value-length': u'10'}"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"{}"
]
},
{
"metadata": {},
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SBDMJky9+CyTMmp9rGSe5Fg/APwnP2B3o7nW2Y93+xYQ1P24DPk9Y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\n/wd+1peqXpdbDgAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11a6fcf50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"text": [
"<matplotlib.figure.Figure at 0x11a6fc090>"
]
}
],
"prompt_number": 148
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Graphs"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"test_names = sql_to_df(\"select distinct testName from results\")[\"testName\"]\n",
"\n",
"def show_test_results(test_name):\n",
" query = \"\"\"\n",
" SELECT sha as sha, sparkVersion, date, message, results, options, systemProperties, testName\n",
" FROM commits, results\n",
" WHERE\n",
" testName = \"{0}\"\n",
" and systemProperties.sparkperf_commitSHA = sha\n",
" ORDER BY date\n",
" \"\"\".format(test_name)\n",
" res = sql_to_df(query)\n",
" res[\"results\"] = res[\"results\"].apply(lambda x: [y[0] for y in x][WARMUP_RUNS:])\n",
" y_pos = np.arange(len(res)) + 1\n",
" plt.boxplot(list(res[\"results\"]), vert=False, showmeans=True, meanline=True)\n",
" #plt.errorbar(y = y_pos, x = res[\"avg_time\"], xerr=res[\"stdev\"], linestyle='None', marker='.')\n",
" axis_labels = []\n",
" for (sha, date) in zip(res[\"sha\"], res[\"date\"]):\n",
" datestr = datetime.datetime.fromtimestamp(date).strftime('%Y-%m-%d')\n",
" axis_labels.append(datestr + \" (%s)\" % sha[:10])\n",
" plt.yticks(y_pos, axis_labels)\n",
" plt.title(\"Results for {0}\".format(test_name))\n",
" plt.ylabel(\"Commits (newest at top)\")\n",
" plt.xlabel(\"Test time (seconds)\")\n",
" #axes = plt.gca()\n",
" #axes.set_xlim([0, 1])\n",
" #test_results.groupby(\"sha\").plot(y=\"avg_time\", xerr=test_results[\"stdev\"], kind=\"barh\")\n",
"#show_test_results(\"count\")\n",
"interact(show_test_results, test_name=list(test_names))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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LwP3ZfdyX3as7+7M0PV76u6UwNGsp/Le1tdU/x4J6AveJwH3AtZL+EhEijYRr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\nFwr5jwQ+L2mX3KdnSdq9Wn1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"text": [
"<matplotlib.figure.Figure at 0x11a96aad0>"
]
}
],
"prompt_number": 91
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analyzing the 1.2 performance regression"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[a9e9104 [SPARK-3546] InputStream of ManagedBuffer is not closed and causes running out of file descriptor](https://github.com/apache/spark/pull/2408) explains the first middle drop + the performance problems for the lsat job in the test run.\n",
"\n",
"[90f73fc [SPARK-3889] Attempt to avoid SIGBUS by not mmapping files in ConnectionManager](https://github.com/apache/spark/pull/2742) explains the improvement at the top of the graph."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 64
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 64
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 64
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 71
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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