[#133] feat(netty): Add Netty Utils #727

leixm · 2023-03-15T12:34:36Z

What changes were proposed in this pull request?

Add netty utils.

Why are the changes needed?

Add netty utils for netty replace grpc.

Does this PR introduce any user-facing change?

No.

How was this patch tested?

UT.

leixm · 2023-03-15T12:35:54Z

@smallzhongfeng @jerqi can you help review plz.

jerqi · 2023-03-15T12:39:11Z

common/src/test/java/org/apache/uniffle/common/util/JavaUtilsTest.java

+  public void test() {
+    MockClient client = new MockClient();
+    JavaUtils.closeQuietly(client);
+    }


Weird indentation.

jerqi · 2023-03-15T12:52:08Z

common/src/main/java/org/apache/uniffle/common/util/NettyUtils.java

+
+  /** Creates a new ThreadFactory which prefixes each thread with the given name. */
+  public static ThreadFactory createThreadFactory(String threadPoolPrefix) {
+    return new DefaultThreadFactory(threadPoolPrefix, true);


This thread factory will produce non-daemon threads. If non-daemon threads don't stop, they will block JVM exit.

I have set the second parameter daemon=true.

So it will produce daemon threads.

OK, I got it.

Could we use ThreadUtils.getThreadFactory(String threadPoolPrefix) ?

codecov-commenter · 2023-03-15T13:00:32Z

Codecov Report

Merging #727 (2e7e354) into master (e38d799) will increase coverage by 2.20%.
The diff coverage is 54.22%.

@@             Coverage Diff              @@
##             master     #727      +/-   ##
============================================
+ Coverage     60.60%   62.81%   +2.20%     
- Complexity     1849     1894      +45     
============================================
  Files           229      224       -5     
  Lines         12749    11035    -1714     
  Branches       1064     1090      +26     
============================================
- Hits           7727     6932     -795     
+ Misses         4611     3727     -884     
+ Partials        411      376      -35

Impacted Files	Coverage Δ
...ava/org/apache/uniffle/common/util/NettyUtils.java	`27.77% <27.77%> (ø)`
...java/org/apache/spark/network/util/NettyUtils.java	`40.00% <40.00%> (ø)`
.../apache/uniffle/common/netty/protocol/Message.java	`50.00% <50.00%> (ø)`
...java/org/apache/uniffle/common/util/JavaUtils.java	`50.00% <50.00%> (ø)`
...che/uniffle/common/netty/protocol/RpcResponse.java	`85.71% <85.71%> (ø)`
...a/org/apache/uniffle/common/util/ByteBufUtils.java	`94.44% <94.44%> (ø)`
...n/java/org/apache/uniffle/common/netty/IOMode.java	`100.00% <100.00%> (ø)`
...va/org/apache/uniffle/common/util/ThreadUtils.java	`66.66% <100.00%> (+16.66%)`	⬆️

... and 21 files with indirect coverage changes

📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more

leixm · 2023-03-15T14:02:33Z

cc @jerqi Why does profile=spark2.3 need to set the version of netty separately?
see https://github.com/apache/incubator-uniffle/blob/master/pom.xml

<id>spark2.3</id>
      <properties>
        <scala.binary.version>2.11</scala.binary.version>
        <spark.version>2.3.4</spark.version>
        <client.type>2</client.type>
        <jackson.version>2.9.0</jackson.version>
        <netty.version>4.1.47.Final</netty.version>

leixm · 2023-03-15T14:05:55Z

cc @jerqi Why does profile=spark2.3 need to set the version of netty separately? see https://github.com/apache/incubator-uniffle/blob/master/pom.xml
<id>spark2.3</id>
      <properties>
        <scala.binary.version>2.11</scala.binary.version>
        <spark.version>2.3.4</spark.version>
        <client.type>2</client.type>
        <jackson.version>2.9.0</jackson.version>
        <netty.version>4.1.47.Final</netty.version>

The constructor of netty 4.1.47.Final's PooledByteBufAllocator is inconsistent. Can we use the same netty version? maybe there are more problems.

smallzhongfeng · 2023-03-15T14:23:52Z

common/src/main/java/org/apache/uniffle/common/util/NettyUtils.java

+
+  /** Creates a new ThreadFactory which prefixes each thread with the given name. */
+  public static ThreadFactory createThreadFactory(String threadPoolPrefix) {
+    return new DefaultThreadFactory(threadPoolPrefix, true);


Could we use ThreadUtils.getThreadFactory(String threadPoolPrefix) ?

smallzhongfeng · 2023-03-15T14:24:14Z

common/src/main/java/org/apache/uniffle/common/util/NettyUtils.java

+
+  /** Creates a Netty EventLoopGroup based on the IOMode. */
+  public static EventLoopGroup createEventLoop(IOMode mode, int numThreads, String threadPrefix) {
+    ThreadFactory threadFactory = createThreadFactory(threadPrefix);


The DefaultThreadFactory implemented by netty seems to have more considerations, it uses FastThreadLocalRunnable.

I think we better use DefaultThreadFactory provided by netty.

OK, maybe we can move this method to ThreadUtils ?

Because I think the two methods are the same.

Because I think the two methods are the same.

That's a good idea.

jerqi · 2023-03-15T14:50:16Z

cc @jerqi Why does profile=spark2.3 need to set the version of netty separately? see https://github.com/apache/incubator-uniffle/blob/master/pom.xml
<id>spark2.3</id>
      <properties>
        <scala.binary.version>2.11</scala.binary.version>
        <spark.version>2.3.4</spark.version>
        <client.type>2</client.type>
        <jackson.version>2.9.0</jackson.version>
        <netty.version>4.1.47.Final</netty.version>
The constructor of netty 4.1.47.Final's PooledByteBufAllocator is inconsistent. Can we use the same netty version? maybe there are more problems.

It should be used for tests. If we change the version, the tests pass, it's ok to remove the version.

leixm · 2023-03-15T14:51:36Z

cc @jerqi Why does profile=spark2.3 need to set the version of netty separately? see https://github.com/apache/incubator-uniffle/blob/master/pom.xml
<id>spark2.3</id>
      <properties>
        <scala.binary.version>2.11</scala.binary.version>
        <spark.version>2.3.4</spark.version>
        <client.type>2</client.type>
        <jackson.version>2.9.0</jackson.version>
        <netty.version>4.1.47.Final</netty.version>
The constructor of netty 4.1.47.Final's PooledByteBufAllocator is inconsistent. Can we use the same netty version? maybe there are more problems.
It should be used for tests. If we change the version, the tests pass, it's ok to remove the version.

Ok, I got it.

smallzhongfeng · 2023-03-15T15:00:37Z

common/src/main/java/org/apache/uniffle/common/netty/protocol/RpcResponse.java

+  @Override
+  public String toString() {
+    return "RpcResponse{"
+               + "requestId=" + requestId


Modify the indent.

smallzhongfeng · 2023-03-15T15:12:40Z

common/src/main/java/org/apache/uniffle/common/util/NettyUtils.java

+        throw ex;
+      }
+    } finally {
+      serializedMsgBuf.release();


If this code return ctx.writeAndFlush(responseMsgBuf); is executed, SerializedMsgBuf will not be released, right?

Maybe we don't nedd serializedMsgBuf, I will delete it.

leixm · 2023-03-17T08:23:26Z

cc @smallzhongfeng can you help review plz?

leixm · 2023-03-17T09:55:02Z

I think that's a flaky test.

smallzhongfeng · 2023-03-17T11:56:32Z

I think that's a flaky test.

Yes.

jerqi · 2023-03-17T14:41:39Z

common/src/main/java/org/apache/uniffle/common/netty/protocol/RpcResponse.java

+
+  @Override
+  public int encodedLength() {
+    return 0;


Why do this method return 0?

I will fix it, actually the current Encoder and Decoder are not implemented yet, do not depend on this method.

jerqi · 2023-03-17T14:42:27Z

common/src/main/java/org/apache/uniffle/common/util/NettyUtils.java

+  }
+
+  public static ChannelFuture writeResponseMsg(ChannelHandlerContext ctx, Message msg, boolean doWriteType) {
+    ByteBuf responseMsgBuf = ctx.alloc().buffer(1000);


Why is the value 1000?

I will set it to 64. In fact, ByteBuf will automatically resize when the capacity is insufficient. Setting an initial value is to avoid frequent resize.

How to ensure proper initial size?

How to ensure proper initial size?

This is not very sure. Some messages may be smaller than 64 bytes, and some messages may be larger than 64 bytes. Maybe we can use the encodeLength of RpcResponse as an initial value, because most Response are RpcResponse, Assuming that the retMessage of RpcResponse is empty.

How to ensure proper initial size?

This is not very sure. Some messages may be smaller than 64 bytes, and some messages may be larger than 64 bytes. Maybe we can use the encodeLength of RpcResponse as an initial value, because most Response are RpcResponse, Assuming that the retMessage of RpcResponse is empty.

Could we refer to Spark?

In fact, we can use encodeLength as the initial size, which is the determined size, and all Messages will implement this method.

leixm · 2023-03-18T16:29:28Z

One more flaky test.

jerqi

LGTM, thanks @smallzhongfeng @leixm

advancedxy · 2023-03-19T09:26:06Z

client-spark/spark2/src/main/java/org/apache/spark/network/util/NettyUtils.java

+
+/** copy from spark, In order to override the createPooledByteBufAllocator method,
+ * the property DEFAULT_TINY_CACHE_SIZE does not exist in netty>4.1.47. */
+public class NettyUtils {


Is there any ways to achieve this? I believe we should avoid this kind code duplication as much as possible unless there's no other way.

Yes, I agree, the key problem is that spark2.3 is not compatible with a higher version of netty (4.1.68.Final), and the uniffle client needs to use netty 4.1.68.Final version, which is a low-cost implementation, Or do you have a better suggestion?

So could we simply add the createPooledByteBufAllocator and its related method here?
Other methods could be reused?

We have shaded Netty in Grpc.

<dependency> <groupId>io.grpc</groupId> <artifactId>grpc-netty-shaded</artifactId> <version>${grpc.version}</version> </dependency>

Could we use this Netty?

It doesn't seem appropriate, maybe the grpc dependency will be removed when the netty version is stable in the future.

So could we simply add the createPooledByteBufAllocator and its related method here? Other methods could be reused?

You're right.

It doesn't seem appropriate, maybe the grpc dependency will be removed when the netty version is stable in the future.

Grpc and Netty will coexist in the future. Because Grpc is very convenient and bettter compatibility, if we don't need high performance in some rpcs, such control panel, we will still use Grpc.

It looks ok, grpc1.47 is using netty4.1.72.Final, link: https://github.com/grpc/grpc-java/blob/v1.47.x/repositories.bzl

We found a compatibility issue when using the Spark 2.1.0 version. The following error will be thrown in Spark driver's log:

Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.network.util.NettyUtils.createEventLoop(Lorg/apache/spark/network/util/IOMode;ILjava/lang/String;)Lio/netty/channel/EventLoopGroup;
at org.apache.spark.network.client.TransportClientFactory.(TransportClientFactory.java:104)
at org.apache.spark.network.TransportContext.createClientFactory(TransportContext.java:89)
at org.apache.spark.rpc.netty.NettyRpcEnv.(NettyRpcEnv.scala:70)
at org.apache.spark.rpc.netty.NettyRpcEnvFactory.create(NettyRpcEnv.scala:449)
at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:56)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:264)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:271)
at org.apache.spark.SparkContext.(SparkContext.scala:474)
at org.apache.spark.deploy.yarn.SQLApplicationMaster.(SQLApplicationMaster.scala:96)
at org.apache.spark.deploy.yarn.SQLApplicationMaster.(SQLApplicationMaster.scala:53)
at org.apache.spark.deploy.yarn.SQLApplicationMaster$$anonfun$main$1.apply$mcV$sp(SQLApplicationMaster.scala:544)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:60)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:2337)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:60)
at org.apache.spark.deploy.yarn.SQLApplicationMaster$.main(SQLApplicationMaster.scala:543)
at org.apache.spark.deploy.yarn.SQLApplicationMaster.main(SQLApplicationMaster.scala)

This is because the return value of createEventLoop in NettyUtils within Uniffle is org.apache.uniffle.io.netty.channel.EventLoopGroup (which is shaded), while the return value of createEventLoop in NettyUtils within Spark is io.netty.channel.EventLoopGroup. When running a Spark application, the Driver loads NettyUtils from the rss-client's JAR, causing inconsistency in the method's return values and ultimately leading to a NoSuchMethodError exception.

Any ideas? Thx a lot.
@leixm @jerqi

### What changes were proposed in this pull request? Add netty utils. ### Why are the changes needed? Add netty utils for netty replace grpc. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? UT. Co-authored-by: leixianming <leixianming@didiglobal.com>

leixm · 2023-10-30T08:51:44Z

I will take a look, it seems that there is a class conflict problem, which was not found through UTs.

leixm · 2023-10-30T10:00:45Z

When we package shaded, the netty dependency is prefixed with "org.apache.uniffle", causing Spark to throw an NoSuchMethodError when looking for org.apache.spark.network.util.NettyUtils.createEventLoop, because the return value of this method is org.apache. uniffle.io.netty.channel.EventLoopGroup instead of io.netty.channel.EventLoopGroup. See debug image

rickyma · 2023-10-31T11:40:51Z

Besides Spark 2.1, we also found this error when using Spark 2.4. Please have a look at both of the Spark versions. Thx. @leixm

### What changes were proposed in this pull request? When we release the shaded client jar for Spark 2.x, the class `org.apache.spark.network.util.NettyUtils.class` should not be included in the package. ### Why are the changes needed? Fix #1567. & It's also a followup PR for #727. When running in Spark 2.4, we will encounter exceptions as below: ``` 24/03/07 16:34:37 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(tdwadmin); groups with view permissions: Set(); users with modify permissions: Set(tdwadmin); groups with modify permissions: Set() Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.network.util.NettyUtils.createEventLoop(Lorg/apache/spark/network/util/IOMode;ILjava/lang/String;)Lio/netty/channel/EventLoopGroup; at org.apache.spark.network.client.TransportClientFactory.<init>(TransportClientFactory.java:104) at org.apache.spark.network.TransportContext.createClientFactory(TransportContext.java:89) at org.apache.spark.rpc.netty.NettyRpcEnv.<init>(NettyRpcEnv.scala:70) at org.apache.spark.rpc.netty.NettyRpcEnvFactory.create(NettyRpcEnv.scala:449) at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:56) at org.apache.spark.SparkEnv$.create(SparkEnv.scala:264) at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193) at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:271) at org.apache.spark.SparkContext.<init>(SparkContext.scala:474) at org.apache.spark.deploy.yarn.SQLApplicationMaster.<init>(SQLApplicationMaster.scala:96) at org.apache.spark.deploy.yarn.SQLApplicationMaster.<init>(SQLApplicationMaster.scala:53) at org.apache.spark.deploy.yarn.SQLApplicationMaster$$anonfun$main$1.apply$mcV$sp(SQLApplicationMaster.scala:544) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:60) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:2286) at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:60) at org.apache.spark.deploy.yarn.SQLApplicationMaster$.main(SQLApplicationMaster.scala:543) at org.apache.spark.deploy.yarn.SQLApplicationMaster.main(SQLApplicationMaster.scala) ``` This is because the return value of `createEventLoop` in `NettyUtils` within Uniffle is `org.apache.uniffle.io.netty.channel.EventLoopGroup` (which is shaded), while the return value of `createEventLoop` in `NettyUtils` within Spark is `io.netty.channel.EventLoopGroup`. When running a Spark application, the Driver loads `NettyUtils` from the rss-client's JAR, causing inconsistency in the method's return values and ultimately leading to a `NoSuchMethodError` exception. We should let Spark use its own `NettyUtils` instead of ours. However, if we simply remove the `org.apache.spark.network.util.NettyUtils` file from the code repository, we will encounter errors when running integration tests. ``` java.lang.RuntimeException: java.lang.NoSuchFieldException: DEFAULT_TINY_CACHE_SIZE at org.apache.spark.network.util.NettyUtils.getPrivateStaticField(NettyUtils.java:131) at org.apache.spark.network.util.NettyUtils.createPooledByteBufAllocator(NettyUtils.java:118) at org.apache.spark.network.server.TransportServer.init(TransportServer.java:94) at org.apache.spark.network.server.TransportServer.<init>(TransportServer.java:73) at org.apache.spark.network.TransportContext.createServer(TransportContext.java:114) at org.apache.spark.rpc.netty.NettyRpcEnv.startServer(NettyRpcEnv.scala:119) at org.apache.spark.rpc.netty.NettyRpcEnvFactory$$anonfun$4.apply(NettyRpcEnv.scala:465) at org.apache.spark.rpc.netty.NettyRpcEnvFactory$$anonfun$4.apply(NettyRpcEnv.scala:464) at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:2275) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160) at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:2267) at org.apache.spark.rpc.netty.NettyRpcEnvFactory.create(NettyRpcEnv.scala:469) at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:57) at org.apache.spark.SparkEnv$.create(SparkEnv.scala:249) at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:175) at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:256) at org.apache.spark.SparkContext.<init>(SparkContext.scala:423) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2493) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:934) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:925) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:925) at org.apache.uniffle.test.SparkIntegrationTestBase.runSparkApp(SparkIntegrationTestBase.java:92) at org.apache.uniffle.test.SparkIntegrationTestBase.run(SparkIntegrationTestBase.java:53) at org.apache.uniffle.test.RSSStageResubmitTest.testRSSStageResubmit(RSSStageResubmitTest.java:86) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) ``` This is because our code project _**globally controls**_ the version of Netty in the root `pom.xml`'s `dependencyManagement`, which leads to Spark2's own lower version of Netty being upgraded to a higher version. This causes exceptions due to Netty version incompatibility, resulting in certain fields not being found. This issue does not occur in the production environment, as Spark has its own `NettyUtils` and does not need to use our provided `NettyUtils`. Retaining `org.apache.spark.network.util.NettyUtils` is somewhat of a workaround for passing integration tests. But given that Spark2 is not frequently updated anymore, maintaining a static version of `NettyUtils` should not pose a significant problem. Of course, the optimal approach would be to shade our own Netty during integration testing, allowing Spark to continue using its own Netty dependency, effectively separating the two. This would provide the most accurate testing, as any changes in Spark2's Netty version could be verified through unit tests. However, this would mean that a large amount of integration test code would need to prefix `org.apache.uniffle` to the `import` statements where Netty is used. Ultimately, this could lead to significant redundancy in the code and cause confusion for those who write codes in the future. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing UTs.

[apache#133][Netty] Netty Utils.

75ed573

leixm requested review from smallzhongfeng and jerqi March 15, 2023 12:35

jerqi reviewed Mar 15, 2023

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leixianming added 2 commits March 15, 2023 20:44

Fix CheckStyle.

e1bb889

Fix CheckStyle.

3676a0e

jerqi reviewed Mar 15, 2023

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smallzhongfeng reviewed Mar 15, 2023

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jerqi changed the title ~~[#133][Netty] Netty Utils.~~ [#133] feat(Netty): Netty Utils. Mar 15, 2023

smallzhongfeng reviewed Mar 15, 2023

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Fix spark2.3 netty version.

9b386ba

leixianming added 2 commits March 17, 2023 16:28

Move NettyUtils#createThreadFactory to ThreadUtils.

0b223c7

Fix CheckStyle.

fa3a42e

smallzhongfeng previously approved these changes Mar 17, 2023

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jerqi reviewed Mar 17, 2023

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Fix.

2934509

leixm dismissed smallzhongfeng’s stale review via 2934509 March 17, 2023 15:00

kaijchen changed the title ~~[#133] feat(Netty): Netty Utils.~~ [#133] feat(netty): add Netty Utils Mar 18, 2023

Fix.

2e7e354

jerqi approved these changes Mar 18, 2023

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jerqi changed the title ~~[#133] feat(netty): add Netty Utils~~ [#133] feat(netty): Add Netty Utils Mar 18, 2023

jerqi merged commit e99eade into apache:master Mar 18, 2023

advancedxy reviewed Mar 19, 2023

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rickyma mentioned this pull request Mar 7, 2024

[#1567] fix(spark): Let Spark use its own NettyUtils #1565

Merged

[#133] feat(netty): Add Netty Utils #727

[#133] feat(netty): Add Netty Utils #727

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leixm commented Mar 15, 2023

What changes were proposed in this pull request?

Why are the changes needed?

Does this PR introduce any user-facing change?

How was this patch tested?

leixm commented Mar 15, 2023

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