Revision a6a9944140bbb336146d0d868429cb01839375c7 authored by Dmitry Parfenchik on 30 August 2017, 08:42:15 UTC, committed by Sean Owen on 30 August 2017, 08:42:15 UTC
## This is a backport of PR #18783 to the latest released branch 2.2. ## What changes were proposed in this pull request? As described in JIRA ticket, History page is taking ~1min to load for cases when amount of jobs is 10k+. Most of the time is currently being spent on DOM manipulations and all additional costs implied by this (browser repaints and reflows). PR's goal is not to change any behavior but to optimize time of History UI rendering: 1. The most costly operation is setting `innerHTML` for `duration` column within a loop, which is [extremely unperformant](https://jsperf.com/jquery-append-vs-html-list-performance/24). [Refactoring ](https://github.com/criteo-forks/spark/commit/b7e56eef4d66af977bd05af58a81e14faf33c211) this helped to get page load time **down to 10-15s** 2. Second big gain bringing page load time **down to 4s** was [was achieved](https://github.com/criteo-forks/spark/commit/3630ca212baa94d60c5fe7e4109cf6da26288cec) by detaching table's DOM before parsing it with DataTables jQuery plugin. 3. Another chunk of improvements ([1]https://github.com/criteo-forks/spark/commit/aeeeeb520d156a7293a707aa6bc053a2f83b9ac2), [2](https://github.com/criteo-forks/spark/commit/e25be9a66b018ba0cc53884f242469b515cb2bf4), [3](https://github.com/criteo-forks/spark/commit/91697079a29138b7581e64f2aa79247fa1a4e4af)) was focused on removing unnecessary DOM manipulations that in total contributed ~250ms to page load time. ## How was this patch tested? Tested by existing Selenium tests in `org.apache.spark.deploy.history.HistoryServerSuite`. Changes were also tested on Criteo's spark-2.1 fork with 20k+ number of rows in the table, reducing load time to 4s. Author: Dmitry Parfenchik <d.parfenchik@criteo.com> Closes #18860 from 2ooom/history-ui-perf-fix-2.2.
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log4j.properties.template
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
# Set the default spark-shell log level to WARN. When running the spark-shell, the
# log level for this class is used to overwrite the root logger's log level, so that
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=WARN
# Settings to quiet third party logs that are too verbose
log4j.logger.org.spark_project.jetty=WARN
log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR
# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
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