分享一下Spark History Server搭建以及使用s3路径的eventlog的坑

原创

框框不是欢欢

发布于 2022-06-07 14:06:38

1.3K0

发布于 2022-06-07 14:06:38

文章被收录于专栏：大数据探索

一、背景

完成了spark on k8s的部署和测试，现在需要一个能够查看spark任务执行情况的ui，原先采用yarn资源管理器ui链接到spark-web-ui，由于yarn集群下的机器ip固定，可以通过配置本地代理的方式访问它，现在去掉了yarn，自己需要搭建一个能够查看所有spark任务执行情况的页面。直接使用spark-web-ui不方便管理且部署的driver机器在线上且ip不固定，无法通过配置代理和服务名方式打通。

二、Spark History Server

1、原理

1、spark history server读取spark任务执行过程中产生的eventlog，来还原spark-web-ui

2、spark history server能够展示正在执行和执行完的spark任务的ui，通过eventlog日志文件后缀名.inprogress区分

3、spark history server解决了在不使用代理的情况下，能够查看线上正在执行任务的spark-web-ui，只要给部署spark history server服务配一个办公网的域名即可，原因是它只是通过eventlog近实时还原spark web ui。日志更新时间，参照该配置

spark.history.fs.update.interval 10s (默认10秒)

2、部署

由于打算把spark history server部署在k8s的容器上，需要一个在前台运行的程序来启动spark history server，spark提供的spark/sbin/start-history-server.sh是通过起一个后台进程去跑，所以我们要改造一下

改造完并使用configmap挂载配置的spark history server的yaml如下：

apiVersion: v1
kind: Service
metadata:
  name: spark-history-service
  labels:
    run: spark-history-service
spec:
  ports:
  - port: 80
    protocol: TCP
    name: http
  - port: 18080
    protocol: TCP
    name: spark-history
  selector:
    run: spark-history-service
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: spark-history-defaults
  namespace: kyuubi
data:
  sparkDefaults: |
    spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
    spark.hadoop.fs.s3.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
    spark.hadoop.fs.s3a.access.key=XXXXXXXXXXXXXXXXX
    spark.hadoop.fs.s3a.secret.key=XXXXXXXXXXXXXXXXX
    spark.hadoop.fs.s3a.connection.ssl.enabled=false
    spark.hadoop.fs.s3a.endpoint=http://s3.ap-northeast-1.amazonaws.com
    spark.hadoop.fs.s3a.path.style.access=true
    spark.eventLog.dir=s3a://mybucket/sparkOnK8s/eventLogDir
    spark.history.fs.logDirectory=s3a://mybucket/sparkOnK8s/eventLogDir

    spark.history.fs.cleaner.enabled=true
    spark.eventLog.compress=true

    spark.kubernetes.authenticate.driver.serviceAccountName=default
    spark.kubernetes.file.upload.path=s3a://mybucket/sparkOnK8s/kubernetes/file/upload

    spark.history.fs.cleaner.enabled=true
    spark.history.fs.cleaner.interval=1d
    spark.history.fs.cleaner.maxAge=7d

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: spark-history-service
spec:
  selector:
    matchLabels:
      run: spark-history-service
  replicas: 1
  template:
    metadata:
      labels:
        run: spark-history-service
    spec:
      containers:
      - name: spark-history-service
        image: XXXXX/XXXXXX:spark_history3.2.1_v1.0.0
        volumeMounts:
        - name: settings
          mountPath: /usr/local/spark/conf/spark-defaults.conf
          subPath: sparkDefaults
        command: ["/usr/local/spark/bin/spark-class"]
        args: ["org.apache.spark.deploy.history.HistoryServer"]

      volumes:
      - name: settings
        configMap:
          name: spark-history-defaults

XXXXX/XXXXXX:spark_history3.2.1_v1.0.0 是我打包上传到仓库的镜像，Dockerfile如下：

FROM openjdk:8u332-slim-buster

RUN apt-get update \
    && apt-get install -y procps vim net-tools iputils-ping

COPY spark-3.2.1-bin-hadoop3.3.1 /usr/local/spark

3、启动

启动spark history server pod，并提交一个spark on k8s任务，任务正在过程中，spark-history-ui并没有展示正在执行的任务，查看s3a://mybucket/sparkOnK8s/eventLogDir目录发现并没有后缀名.inprogress的文件，等执行完spark任务后才产生文件，只能看到执行完任务的历史。

4、分析

查看了一下driver pod的日志，发现了一个华点

S3ABlockOutputStream不支持使用Syncable API去写日志，打开源码，发现S3ABlockOutputStream实现了Syncable

class S3ABlockOutputStream extends OutputStream implements
    StreamCapabilities, IOStatisticsSource, Syncable, Abortable

Syncable的方法

@InterfaceAudience.Public
@InterfaceStability.Stable
public interface Syncable {

  /** Flush out the data in client's user buffer. After the return of
   * this call, new readers will see the data.
   * @throws IOException if any error occurs
   */
  void hflush() throws IOException;

  /** Similar to posix fsync, flush out the data in client's user buffer 
   * all the way to the disk device (but the disk may have it in its cache).
   * @throws IOException if error occurs
   */
  void hsync() throws IOException;
}

看下S3ABlockOutputStream对这两个方法的实现，发现调用了一个降级的方法handleSyncableInvocation()

@Override
  public void hflush() throws IOException {
    statistics.hflushInvoked();
    handleSyncableInvocation();
  }
@Override
  public void hsync() throws IOException {
    statistics.hsyncInvoked();
    handleSyncableInvocation();
  }

查看handleSyncableInvocation方法

private void handleSyncableInvocation() {
    final UnsupportedOperationException ex
        = new UnsupportedOperationException(E_NOT_SYNCABLE);
    if (!downgradeSyncableExceptions) {
      throw ex;
    }
    // downgrading.
    WARN_ON_SYNCABLE.warn("Application invoked the Syncable API against"
        + " stream writing to {}. This is unsupported",
        key);
    // and log at debug
    LOG.debug("Downgrading Syncable call", ex);
  }

饿。。。凉凉，s3a不支持Syncable的方法刷新(骂骂咧咧，不支持实现个啥啊，哈哈，开个玩笑)，具体原因看下官网有详细描述s3aFileSystem：

https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/troubleshooting_s3a.html

5、解决方案

最后只能在pod上挂载nfs目录，把日志放到该目录下了

apiVersion: v1
kind: Service
metadata:
  name: spark-history-service
  labels:
    run: spark-history-service
spec:
  ports:
  - port: 80
    protocol: TCP
    name: http
  - port: 18080
    protocol: TCP
    name: spark-history
  selector:
    run: spark-history-service
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: spark-history-defaults
  namespace: kyuubi
data:
  sparkDefaults: |
    spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
    spark.hadoop.fs.s3.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
    spark.hadoop.fs.s3a.access.key=XXXXXXXXXXX
    spark.hadoop.fs.s3a.secret.key=XXXXXXXXXXX
    spark.hadoop.fs.s3a.connection.ssl.enabled=false
    spark.hadoop.fs.s3a.endpoint=http://s3.ap-northeast-1.amazonaws.com
    spark.hadoop.fs.s3a.path.style.access=true
    spark.eventLog.dir=/nfs/sparkOnK8s/eventLogDir
    spark.history.fs.logDirectory=/nfs/sparkOnK8s/eventLogDir

    spark.history.fs.cleaner.enabled=true
    spark.eventLog.compress=true

    spark.kubernetes.authenticate.driver.serviceAccountName=default
    spark.kubernetes.file.upload.path=s3a://mybucket/sparkOnK8s/kubernetes/file/upload

    spark.history.fs.cleaner.enabled=true
    spark.history.fs.cleaner.interval=1d
    spark.history.fs.cleaner.maxAge=7d

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: spark-history-service
spec:
  selector:
    matchLabels:
      run: spark-history-service
  replicas: 1
  template:
    metadata:
      labels:
        run: spark-history-service
    spec:
      containers:
      - name: spark-history-service
        image: XXXXXXXX/XXXXXXXXX:spark_history3.2.1_v1.0.0
        volumeMounts:
        - name: settings
          mountPath: /usr/local/spark/conf/spark-defaults.conf
          subPath: sparkDefaults
        - name: nfs-path
          mountPath: /nfs
        command: ["/usr/local/spark/bin/spark-class"]
        args: ["org.apache.spark.deploy.history.HistoryServer"]

      volumes:
      - name: settings
        configMap:
          name: spark-history-defaults
      - name: nfs-path
        nfs:
          path: /home1/nfs
          server: 172.XX.XX.XX

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

hadoop