The current package name uses a dash, which is a little weird but seemed
to work. That is, until a new test tried to mock a class that references
one of those shaded types, and then things started failing.
Most changes are just noise to fix the logging configs.
For reference, SPARK-8815 also raised this issue, although at the time it
did not cause any issues in Spark, so it was not addressed.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#11941 from vanzin/SPARK-14134.
In the default Spark distribution, there are currently two separate
log4j config files, with different default values for the root logger,
so that when running the shell you have a different default log level.
This makes the shell more usable, since the logs don't overwhelm the
output.
But if you install a custom log4j.properties, you lose that, because
then it's going to be used no matter whether you're running a regular
app or the shell.
With this change, the overriding of the log level is done differently;
the log level repl's main class (org.apache.spark.repl.Main) is used
to define the root logger's level when running the shell, defaulting
to WARN if it's not set explicitly.
On a somewhat related change, the shell output about the "sc" variable
was changed a bit to contain a little more useful information about
the application, since when the root logger's log level is WARN, that
information is never shown to the user.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#9816 from vanzin/shell-logging.
Parquet hard coded a JUL logger which always writes to stdout. This PR redirects it via SLF4j JUL bridge handler, so that we can control Parquet logs via `log4j.properties`.
This solution is inspired by https://github.com/Parquet/parquet-mr/issues/390#issuecomment-46064909.
Author: Cheng Lian <lian@databricks.com>
Closes#8196 from liancheng/spark-8118/redirect-parquet-jul.
JIRA: https://issues.apache.org/jira/browse/SPARK-9183
cc rxin
Author: Yijie Shen <henry.yijieshen@gmail.com>
Closes#7613 from yjshen/npe_udf and squashes the following commits:
44f58f2 [Yijie Shen] add jira ticket number
903c963 [Yijie Shen] add explanation comments
f44dd3c [Yijie Shen] Change two hive class LogLevel to avoid annoying messages
https://issues.apache.org/jira/browse/SPARK-6758
I am not sure if it is ok to block them in test resources too (as we shade jetty in assembly?).
Author: WangTaoTheTonic <wangtao111@huawei.com>
Closes#5406 from WangTaoTheTonic/SPARK-6758 and squashes the following commits:
e09605b [WangTaoTheTonic] block the right jetty package
Before:
```
14/06/08 23:58:23 WARN AbstractLifeCycle: FAILED SelectChannelConnector@0.0.0.0:4040: java.net.BindException: Address already in use
java.net.BindException: Address already in use
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:444)
at sun.nio.ch.Net.bind(Net.java:436)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:214)
at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
at org.eclipse.jetty.server.nio.SelectChannelConnector.open(SelectChannelConnector.java:187)
at org.eclipse.jetty.server.AbstractConnector.doStart(AbstractConnector.java:316)
at org.eclipse.jetty.server.nio.SelectChannelConnector.doStart(SelectChannelConnector.java:265)
at org.eclipse.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.eclipse.jetty.server.Server.doStart(Server.java:293)
at org.eclipse.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply$mcV$sp(JettyUtils.scala:192)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply(JettyUtils.scala:192)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply(JettyUtils.scala:192)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.ui.JettyUtils$.connect$1(JettyUtils.scala:191)
at org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:205)
at org.apache.spark.ui.WebUI.bind(WebUI.scala:99)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:223)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:957)
at $line3.$read$$iwC$$iwC.<init>(<console>:8)
at $line3.$read$$iwC.<init>(<console>:14)
at $line3.$read.<init>(<console>:16)
at $line3.$read$.<init>(<console>:20)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:121)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:263)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:913)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:142)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:104)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:930)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:292)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
14/06/08 23:58:23 WARN AbstractLifeCycle: FAILED org.eclipse.jetty.server.Server@7439e55a: java.net.BindException: Address already in use
java.net.BindException: Address already in use
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:444)
at sun.nio.ch.Net.bind(Net.java:436)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:214)
at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
at org.eclipse.jetty.server.nio.SelectChannelConnector.open(SelectChannelConnector.java:187)
at org.eclipse.jetty.server.AbstractConnector.doStart(AbstractConnector.java:316)
at org.eclipse.jetty.server.nio.SelectChannelConnector.doStart(SelectChannelConnector.java:265)
at org.eclipse.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.eclipse.jetty.server.Server.doStart(Server.java:293)
at org.eclipse.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply$mcV$sp(JettyUtils.scala:192)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply(JettyUtils.scala:192)
at org.apache.spark.ui.JettyUtils$$anonfun$1.apply(JettyUtils.scala:192)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.ui.JettyUtils$.connect$1(JettyUtils.scala:191)
at org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:205)
at org.apache.spark.ui.WebUI.bind(WebUI.scala:99)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:223)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:957)
at $line3.$read$$iwC$$iwC.<init>(<console>:8)
at $line3.$read$$iwC.<init>(<console>:14)
at $line3.$read.<init>(<console>:16)
at $line3.$read$.<init>(<console>:20)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:121)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:263)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:120)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:913)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:142)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:104)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:56)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:930)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:292)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
14/06/08 23:58:23 INFO JettyUtils: Failed to create UI at port, 4040. Trying again.
14/06/08 23:58:23 INFO JettyUtils: Error was: Failure(java.net.BindException: Address already in use)
14/06/08 23:58:23 INFO SparkUI: Started SparkUI at http://aash-mbp.local:4041
````
After:
```
14/06/09 00:04:12 INFO JettyUtils: Failed to create UI at port, 4040. Trying again.
14/06/09 00:04:12 INFO JettyUtils: Error was: Failure(java.net.BindException: Address already in use)
14/06/09 00:04:12 INFO Server: jetty-8.y.z-SNAPSHOT
14/06/09 00:04:12 INFO AbstractConnector: Started SelectChannelConnector@0.0.0.0:4041
14/06/09 00:04:12 INFO SparkUI: Started SparkUI at http://aash-mbp.local:4041
```
Lengthy logging comes from this line of code in Jetty: http://grepcode.com/file/repo1.maven.org/maven2/org.eclipse.jetty.aggregate/jetty-all/9.1.3.v20140225/org/eclipse/jetty/util/component/AbstractLifeCycle.java#210
Author: Andrew Ash <andrew@andrewash.com>
Closes#1019 from ash211/SPARK-1902 and squashes the following commits:
0dd02f7 [Andrew Ash] Leave old org.eclipse.jetty silencing in place
1e2866b [Andrew Ash] Address CR comments
9d85eed [Andrew Ash] SPARK-1902 Silence stacktrace from logs when doing port failover to port n+1
Removes two things that caused issues with the debug logs:
(a) Internal polling in the DAGScheduler was polluting the logs.
(b) The Scala REPL logs were really noisy.
are used to create an initial copy of each config file if the user does
not have one. This way, users won't accidentally commit their changes to
config files to git.
