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首页 > 解决方案 > 执行 spark-submit 应用程序到纱线和远程 CDH kerberized env 时出现 pyspark hiveContext 错误

java - 执行 spark-submit 应用程序到纱线和远程 CDH kerberized env 时出现 pyspark hiveContext 错误

问题描述

执行时发生错误

airflow@41166b660d82:~$ spark-submit --master yarn --deploy-mode cluster --keytab keytab_name.keytab --principal --jars keytab_name@REALM --jars /path/to/spark-hive_2.11-2.3.0.jar sranje.py

来自不在 CDH 环境中的气流 docker 容器（不由 CDH CM 管理）。sranje.py 是简单的从 hive 表中选择 *。

应用程序在 CDH 纱线上被接受并执行两次，但出现以下错误：

...
2020-12-31 10:11:43 INFO  StateStoreCoordinatorRef:54 - Registered StateStoreCoordinator endpoint
Traceback (most recent call last):
  File "sranje.py", line 21, in <module>
    source_df = hiveContext.table(hive_source).na.fill("")
  File "/dfs/dn4/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0150/container_e29_1608187067076_0150_02_000001/pyspark.zip/pyspark/sql/context.py", line 366, in table
  File "/dfs/dn4/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0150/container_e29_1608187067076_0150_02_000001/pyspark.zip/pyspark/sql/session.py", line 721, in table
  File "/dfs/dn4/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0150/container_e29_1608187067076_0150_02_000001/py4j-0.10.6-src.zip/py4j/java_gateway.py", line 1160, in __call__
  File "/dfs/dn4/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0150/container_e29_1608187067076_0150_02_000001/pyspark.zip/pyspark/sql/utils.py", line 79, in deco
pyspark.sql.utils.IllegalArgumentException: u"Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog':"
2020-12-31 10:11:43 ERROR ApplicationMaster:70 - User application exited with status 1
2020-12-31 10:11:43 INFO  ApplicationMaster:54 - Final app status: FAILED, exitCode: 1, (reason: User application exited with status 1)
...

我们假设缺少“一些 .jar 和 java 依赖项”。有任何想法吗？

细节

  1. 在执行 spark cmd 之前有一个有效的 krb 票证
  2. 如果我们省略--jars /path/to/spark-hive_2.11-2.3.0.jar，pyhton 错误是不同的
...
pyspark.sql.utils.IllegalArgumentException: u"Error while instantiating 'org.apache.spark.sql.hive.HiveSessionStateBuilder':"
...
  1. spark(2.3.0)、hadoop(2.6.0)、java版本与CDH相同
  2. hive-site.xml、yarn-site.xml 等也提供且有效
  3. 这个相同的 spark-submit 应用程序从 CDH 集群内的节点执行 OK
  4. 我们尝试添加额外的--jars spark-hive_2.11-2.3.0.jar,spark-core_2.11-2.3.0.jar,spark-sql_2.11-2.3.0.jar,hive-hcatalog-core-2.3.0.jar,spark-hive-thriftserver_2.11-2.3.0.jar
  5. 开发人员使用此代码作为示例：
# -*- coding: utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from pyspark.context import SparkContext
from pyspark.sql import SparkSession, SQLContext, HiveContext, functions as F
from pyspark.sql.utils import AnalysisException
from datetime import datetime

sc = SparkContext.getOrCreate()
spark = SparkSession(sc)
sqlContext = SQLContext(sc)
hiveContext = HiveContext(sc)

current_date = str(datetime.now().strftime('%Y-%m-%d'))

hive_source = "lnz_ch.lnz_cfg_codebook"
source_df = hiveContext.table(hive_source).na.fill("")

print("Number of records: {}".format(source_df.count()))
print("First 20 rows of the table:")
source_df.show(20)
  1. 不同的脚本，相同的错误
# -*- coding: utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from pyspark.sql.types import *
from pyspark.sql.functions import *
from pyspark.sql import SparkSession

if __name__ == "__main__":
    spark = SparkSession.builder.appName("ZekoTest").enableHiveSupport().getOrCreate()
    data = spark.sql("SELECT * FROM lnz_ch.lnz_cfg_codebook")
    data.show(20)
    spark.close()

谢谢你。

标签： javaapache-sparkhadooppysparkcloudera-cdh

解决方案

Hive 依赖项通过以下方式解决：

  • 使用 CDH Hive 的确切版本下载hive.tar.gz
  • 创建了从 hive/ 到 spark/ 的符号链接 ln -s apache-hive-1.1.0-bin/lib/*.jar spark-2.3.0-bin-without-hadoop/jars/
  • 从 maven repo 下载到 spark/jars/ 的其他 jars
hive-hcatalog-core-2.3.0.jar
slf4j-api-1.7.26.jar
spark-hive_2.11-2.3.0.jar
spark-hive-thriftserver_2.11-2.3.0.jar
  • 刷新环境变量
HADOOP_CLASSPATH=$(find $HADOOP_HOME -name '*.jar' | xargs echo | tr ' ' ':')
SPARK_DIST_CLASSPATH=$(hadoop classpath)

直线工作，但 pyspark 抛出错误

2021-01-07 15:02:20 INFO  StateStoreCoordinatorRef:54 - Registered StateStoreCoordinator endpoint
Traceback (most recent call last):
  File "sranje.py", line 21, in <module>
    source_df = hiveContext.table(hive_source).na.fill("")
  File "/dfs/dn12/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0207/container_e29_1608187067076_0207_01_000001/pyspark.zip/pyspark/sql/context.py", line 366, in table
  File "/dfs/dn12/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0207/container_e29_1608187067076_0207_01_000001/pyspark.zip/pyspark/sql/session.py", line 721, in table
  File "/dfs/dn12/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0207/container_e29_1608187067076_0207_01_000001/py4j-0.10.6-src.zip/py4j/java_gateway.py", line 1160, in __call__
  File "/dfs/dn12/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0207/container_e29_1608187067076_0207_01_000001/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
  File "/dfs/dn12/yarn/nm/usercache/etladmin/appcache/application_1608187067076_0207/container_e29_1608187067076_0207_01_000001/py4j-0.10.6-src.zip/py4j/protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o31.table.
: java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME

但是，这是另一个问题。谢谢你们。

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