我们正在执行Pypark和spark submit,以从CDH CM节点未管理的远程气流docker容器向kerberized CDH 5.15v提交,例如气流容器不在CDH环境中。 hive、spark和java的版本与CDH上的相同。在执行spark submit或pyspark之前,存在有效的kerberos票证
Python脚本:
from pyspark.sql import SparkSession, functions as F
spark = SparkSession.builder.enableHiveSupport().appName('appName').getOrCreate()
sa_df=spark.sql("SELECT * FROM lnz_ch.lnz_cfg_codebook")
错误是:
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Welcome to
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Using Python version 3.6.12 (default, Oct 13 2020 21:45:01)
SparkSession available as 'spark'.
>>> from pyspark.sql import SparkSession, functions as F
>>> spark = SparkSession.builder.enableHiveSupport().appName('appName').getOrCreate()
>>> sa_df=spark.sql("SELECT * FROM lnz_ch.lnz_cfg_codebook")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/var/lib/airflow/spark/spark-2.3.0-bin-without-hadoop/python/pyspark/sql/session.py", line 708, in sql
return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped)
File "/var/lib/airflow/spark/spark-2.3.0-bin-without-hadoop/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py", line 1160, in __call__
File "/var/lib/airflow/spark/spark-2.3.0-bin-without-hadoop/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/var/lib/airflow/spark/spark-2.3.0-bin-without-hadoop/python/lib/py4j-0.10.6-src.zip/py4j/protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o24.sql.
: java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME
at org.apache.spark.sql.hive.HiveUtils$.formatTimeVarsForHiveClient(HiveUtils.scala:195)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:286)
at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:66)
at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:65)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:194)
at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:114)
at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:102)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:39)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog$lzycompute(HiveSessionStateBuilder.scala:54)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog(HiveSessionStateBuilder.scala:52)
at org.apache.spark.sql.hive.HiveSessionStateBuilder$$anon$1.<init>(HiveSessionStateBuilder.scala:69)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.analyzer(HiveSessionStateBuilder.scala:69)
at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293)
at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293)
at org.apache.spark.sql.internal.SessionState.analyzer$lzycompute(SessionState.scala:79)
at org.apache.spark.sql.internal.SessionState.analyzer(SessionState.scala:79)
at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)
at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:74)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:638)
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)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
执行spark submit时,纱线也会出现相同的错误
详情:
有关我们解决方案的详细信息,请参见: https://community.cloudera.com/t5/Support-Questions/remote-pyspark-shell-and-spark-submit-error-java-lang/td-p/309553
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