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Posted to issues@spark.apache.org by "Akshat Thakar (JIRA)" <ji...@apache.org> on 2016/03/01 06:23:18 UTC
[jira] [Created] (SPARK-13588) Unable to Map Parquet file to Hive
Table using HiveContext
Akshat Thakar created SPARK-13588:
-------------------------------------
Summary: Unable to Map Parquet file to Hive Table using HiveContext
Key: SPARK-13588
URL: https://issues.apache.org/jira/browse/SPARK-13588
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.3.1
Environment: Linux Red Hat 6.7, Hortonworks HDP 2.3 Distribution
Reporter: Akshat Thakar
Priority: Minor
I am trying to map existing Parquet file with external table using Pyspark script. I am using Hive Context to execute Hive SQL.
I was able to execute same SQL command using Hive shell.
I get below error while doing so-
>>> hive.sql('create external table temp_inserts like new_inserts stored as parquet LOCATION "/user/hive/warehouse/temp_inserts')
16/03/01 06:16:35 INFO ParseDriver: Parsing command: create external table cdc_new like cdc_new stored as parquet LOCATION "/user/hive/warehouse/cdc_temp_inserts
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/hdp/2.3.0.0-2557/spark/python/pyspark/sql/context.py", line 488, in sql
return DataFrame(self._ssql_ctx.sql(sqlQuery), self)
File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o36.sql.
: org.apache.spark.sql.AnalysisException: missing EOF at 'stored' near 'cdc_new'; line 1 pos 44
at org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:254)
at org.apache.spark.sql.hive.ExtendedHiveQlParser$$anonfun$hiveQl$1.apply(ExtendedHiveQlParser.scala:41)
at org.apache.spark.sql.hive.ExtendedHiveQlParser$$anonfun$hiveQl$1.apply(ExtendedHiveQlParser.scala:40)
at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136)
at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Failure.append(Parsers.scala:202)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
at scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
at scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
at scala.util.parsing.combinator.Parsers$$anon$2.apply(Parsers.scala:890)
at scala.util.parsing.combinator.PackratParsers$$anon$1.apply(PackratParsers.scala:110)
at org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38)
at org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138)
at org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138)
at org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:96)
at org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:95)
at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136)
at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Failure.append(Parsers.scala:202)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
at scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
at scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
at scala.util.parsing.combinator.Parsers$$anon$2.apply(Parsers.scala:890)
at scala.util.parsing.combinator.PackratParsers$$anon$1.apply(PackratParsers.scala:110)
at org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38)
at org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:234)
at org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:103)
at org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:103)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:103)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
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