Apache Spark - A unified analytics engine for large-scale data processing
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Shruti Gumma 173da5bf11 [SPARK-32996][WEB-UI] Handle empty ExecutorMetrics in ExecutorMetricsJsonSerializer
### What changes were proposed in this pull request?
When `peakMemoryMetrics` in `ExecutorSummary` is `Option.empty`, then the `ExecutorMetricsJsonSerializer#serialize` method does not execute the `jsonGenerator.writeObject` method. This causes the json to be generated with `peakMemoryMetrics` key added to the serialized string, but no corresponding value.
This causes an error to be thrown when it is the next key `attributes` turn to be added to the json:
`com.fasterxml.jackson.core.JsonGenerationException: Can not write a field name, expecting a value
`

### Why are the changes needed?
At the start of the Spark job, if `peakMemoryMetrics` is `Option.empty`, then it causes
a `com.fasterxml.jackson.core.JsonGenerationException` to be thrown when we navigate to the Executors tab in Spark UI.
Complete stacktrace:

> com.fasterxml.jackson.core.JsonGenerationException: Can not write a field name, expecting a value
> 	at com.fasterxml.jackson.core.JsonGenerator._reportError(JsonGenerator.java:2080)
> 	at com.fasterxml.jackson.core.json.WriterBasedJsonGenerator.writeFieldName(WriterBasedJsonGenerator.java:161)
> 	at com.fasterxml.jackson.databind.ser.BeanPropertyWriter.serializeAsField(BeanPropertyWriter.java:725)
> 	at com.fasterxml.jackson.databind.ser.std.BeanSerializerBase.serializeFields(BeanSerializerBase.java:721)
> 	at com.fasterxml.jackson.databind.ser.BeanSerializer.serialize(BeanSerializer.java:166)
> 	at com.fasterxml.jackson.databind.ser.std.CollectionSerializer.serializeContents(CollectionSerializer.java:145)
> 	at com.fasterxml.jackson.module.scala.ser.IterableSerializer.serializeContents(IterableSerializerModule.scala:26)
> 	at com.fasterxml.jackson.module.scala.ser.IterableSerializer.serializeContents$(IterableSerializerModule.scala:25)
> 	at com.fasterxml.jackson.module.scala.ser.UnresolvedIterableSerializer.serializeContents(IterableSerializerModule.scala:54)
> 	at com.fasterxml.jackson.module.scala.ser.UnresolvedIterableSerializer.serializeContents(IterableSerializerModule.scala:54)
> 	at com.fasterxml.jackson.databind.ser.std.AsArraySerializerBase.serialize(AsArraySerializerBase.java:250)
> 	at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider._serialize(DefaultSerializerProvider.java:480)
> 	at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:319)
> 	at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:4094)
> 	at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:3404)
> 	at org.apache.spark.ui.exec.ExecutorsPage.allExecutorsDataScript$1(ExecutorsTab.scala:64)
> 	at org.apache.spark.ui.exec.ExecutorsPage.render(ExecutorsTab.scala:76)
> 	at org.apache.spark.ui.WebUI.$anonfun$attachPage$1(WebUI.scala:89)
> 	at org.apache.spark.ui.JettyUtils$$anon$1.doGet(JettyUtils.scala:80)
> 	at javax.servlet.http.HttpServlet.service(HttpServlet.java:687)
> 	at javax.servlet.http.HttpServlet.service(HttpServlet.java:790)
> 	at org.sparkproject.jetty.servlet.ServletHolder.handle(ServletHolder.java:873)
> 	at org.sparkproject.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1623)
> 	at org.apache.spark.ui.HttpSecurityFilter.doFilter(HttpSecurityFilter.scala:95)
> 	at org.sparkproject.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1610)
> 	at org.sparkproject.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:540)
> 	at org.sparkproject.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)
> 	at org.sparkproject.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1345)
> 	at org.sparkproject.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203)
> 	at org.sparkproject.jetty.servlet.ServletHandler.doScope(ServletHandler.java:480)
> 	at org.sparkproject.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201)
> 	at org.sparkproject.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1247)
> 	at org.sparkproject.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144)
> 	at org.sparkproject.jetty.server.handler.gzip.GzipHandler.handle(GzipHandler.java:753)
> 	at org.sparkproject.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:220)
> 	at org.sparkproject.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)
> 	at org.sparkproject.jetty.server.Server.handle(Server.java:505)
> 	at org.sparkproject.jetty.server.HttpChannel.handle(HttpChannel.java:370)
> 	at org.sparkproject.jetty.server.HttpConnection.onFillable(HttpConnection.java:267)
> 	at org.sparkproject.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:305)
> 	at org.sparkproject.jetty.io.FillInterest.fillable(FillInterest.java:103)
> 	at org.sparkproject.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:117)
> 	at org.sparkproject.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333)
> 	at org.sparkproject.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310)
> 	at org.sparkproject.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168)
> 	at org.sparkproject.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126)
> 	at org.sparkproject.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366)
> 	at org.sparkproject.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:698)
> 	at org.sparkproject.jetty.util.thread.QueuedThreadPool$Runner.run(QueuedThreadPool.java:804)
> 	at java.base/java.lang.Thread.run(Thread.java:834)

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit test

Closes #29872 from shrutig/SPARK-32996.

Authored-by: Shruti Gumma <shruti_gumma@apple.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
2020-09-28 10:07:36 -07:00
.github [SPARK-32926][TESTS] Add Scala 2.13 build test in GitHub Action 2020-09-17 14:01:52 -07:00
assembly [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
bin [SPARK-32839][WINDOWS] Make Spark scripts working with the spaces in paths on Windows 2020-09-14 13:15:14 +09:00
binder [SPARK-32204][SPARK-32182][DOCS] Add a quickstart page with Binder integration in PySpark documentation 2020-08-26 12:23:24 +09:00
build [SPARK-31041][BUILD] Show Maven errors from within make-distribution.sh 2020-03-11 08:22:02 -05:00
common [SPARK-32892][CORE][SQL] Fix hash functions on big-endian platforms 2020-09-23 12:36:46 -05:00
conf [SPARK-32004][ALL] Drop references to slave 2020-07-13 14:05:33 -07:00
core [SPARK-32996][WEB-UI] Handle empty ExecutorMetrics in ExecutorMetricsJsonSerializer 2020-09-28 10:07:36 -07:00
data [SPARK-22666][ML][SQL] Spark datasource for image format 2018-09-05 11:59:00 -07:00
dev [SPARK-32982][BUILD] Remove hive-1.2 profiles in PIP installation option 2020-09-24 14:49:58 +09:00
docs [SPARK-32955][DOCS] An item in the navigation bar in the WebUI has a wrong link 2020-09-22 14:46:27 +09:00
examples [SPARK-32714][PYTHON] Initial pyspark-stubs port 2020-09-24 14:15:36 +09:00
external [SPARK-32936][SQL] Pass all external/avro module UTs in Scala 2.13 2020-09-18 22:24:33 +09:00
graphx [SPARK-32398][TESTS][CORE][STREAMING][SQL][ML] Update to scalatest 3.2.0 for Scala 2.13.3+ 2020-07-23 16:20:17 -07:00
hadoop-cloud [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
launcher [SPARK-32804][LAUNCHER][FOLLOWUP] Fix SparkSubmitCommandBuilderSuite test failure without jars 2020-09-16 23:39:41 +09:00
licenses [SPARK-32435][PYTHON] Remove heapq3 port from Python 3 2020-07-27 20:10:13 +09:00
licenses-binary [SPARK-32435][PYTHON] Remove heapq3 port from Python 3 2020-07-27 20:10:13 +09:00
mllib [SPARK-33011][ML] Promote the stability annotation to Evolving for MLEvent traits/classes 2020-09-28 14:57:59 +09:00
mllib-local [SPARK-32907][ML] adaptively blockify instances - revert blockify gmm 2020-09-23 15:54:56 +08:00
project [SPARK-32879][SQL] Refactor SparkSession initial options 2020-09-15 06:24:54 +00:00
python [SPARK-32187][PYTHON][DOCS] Doc on Python packaging 2020-09-28 12:30:28 +09:00
R [SPARK-32306][SQL][DOCS] Clarify the result of percentile_approx() 2020-09-22 12:45:19 -07:00
repl [SPARK-30090][SHELL] Adapt Spark REPL to Scala 2.13 2020-09-12 18:15:15 -05:00
resource-managers [SPARK-32997][K8S] Support dynamic PVC creation and deletion in K8s driver 2020-09-25 16:36:15 -07:00
sbin [MINOR][DOCS] fix typo for docs,log message and comments 2020-08-22 06:45:35 +09:00
sql [SPARK-32927][SQL] Bitwise OR, AND and XOR should have similar canonicalization rules to boolean OR and AND 2020-09-28 12:22:15 +09:00
streaming [SPARK-32964][DSTREAMS] Pass all streaming module UTs in Scala 2.13 2020-09-22 11:01:44 -07:00
tools [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
.asf.yaml [SPARK-31352] Add .asf.yaml to control Github settings 2020-04-06 09:06:01 -05:00
.gitattributes [SPARK-30653][INFRA][SQL] EOL character enforcement for java/scala/xml/py/R files 2020-01-27 10:20:51 -08:00
.gitignore [SPARK-32774][BUILD] Don't track docs/.jekyll-cache 2020-09-02 09:43:32 +09:00
appveyor.yml [SPARK-32647][INFRA] Report SparkR test results with JUnit reporter 2020-08-18 19:35:15 +09:00
CONTRIBUTING.md [MINOR][DOCS] Tighten up some key links to the project and download pages to use HTTPS 2019-05-21 10:56:42 -07:00
LICENSE [SPARK-32435][PYTHON] Remove heapq3 port from Python 3 2020-07-27 20:10:13 +09:00
LICENSE-binary [SPARK-32435][PYTHON] Remove heapq3 port from Python 3 2020-07-27 20:10:13 +09:00
NOTICE [SPARK-29674][CORE] Update dropwizard metrics to 4.1.x for JDK 9+ 2019-11-03 15:13:06 -08:00
NOTICE-binary [SPARK-29674][CORE] Update dropwizard metrics to 4.1.x for JDK 9+ 2019-11-03 15:13:06 -08:00
pom.xml [SPARK-32312][SQL][PYTHON][TEST-JAVA11] Upgrade Apache Arrow to version 1.0.1 2020-09-10 14:16:19 +09:00
README.md [MINOR][DOCS] Fix Jenkins build image and link in README.md 2020-01-20 23:08:24 -08:00
scalastyle-config.xml [SPARK-32539][INFRA] Disallow FileSystem.get(Configuration conf) in style check by default 2020-08-06 05:56:59 +00:00

Apache Spark

Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.

https://spark.apache.org/

Jenkins Build AppVeyor Build PySpark Coverage

Online Documentation

You can find the latest Spark documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.

Building Spark

Spark is built using Apache Maven. To build Spark and its example programs, run:

./build/mvn -DskipTests clean package

(You do not need to do this if you downloaded a pre-built package.)

More detailed documentation is available from the project site, at "Building Spark".

For general development tips, including info on developing Spark using an IDE, see "Useful Developer Tools".

Interactive Scala Shell

The easiest way to start using Spark is through the Scala shell:

./bin/spark-shell

Try the following command, which should return 1,000,000,000:

scala> spark.range(1000 * 1000 * 1000).count()

Interactive Python Shell

Alternatively, if you prefer Python, you can use the Python shell:

./bin/pyspark

And run the following command, which should also return 1,000,000,000:

>>> spark.range(1000 * 1000 * 1000).count()

Example Programs

Spark also comes with several sample programs in the examples directory. To run one of them, use ./bin/run-example <class> [params]. For example:

./bin/run-example SparkPi

will run the Pi example locally.

You can set the MASTER environment variable when running examples to submit examples to a cluster. This can be a mesos:// or spark:// URL, "yarn" to run on YARN, and "local" to run locally with one thread, or "local[N]" to run locally with N threads. You can also use an abbreviated class name if the class is in the examples package. For instance:

MASTER=spark://host:7077 ./bin/run-example SparkPi

Many of the example programs print usage help if no params are given.

Running Tests

Testing first requires building Spark. Once Spark is built, tests can be run using:

./dev/run-tests

Please see the guidance on how to run tests for a module, or individual tests.

There is also a Kubernetes integration test, see resource-managers/kubernetes/integration-tests/README.md

A Note About Hadoop Versions

Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs.

Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions.

Configuration

Please refer to the Configuration Guide in the online documentation for an overview on how to configure Spark.

Contributing

Please review the Contribution to Spark guide for information on how to get started contributing to the project.