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Posted to issues@spark.apache.org by "Pablo Langa Blanco (Jira)" <ji...@apache.org> on 2020/10/12 08:52:00 UTC
[jira] [Commented] (SPARK-33118) CREATE TEMPORARY TABLE fails with
location
[ https://issues.apache.org/jira/browse/SPARK-33118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17212242#comment-17212242 ]
Pablo Langa Blanco commented on SPARK-33118:
--------------------------------------------
I'm working on it
> CREATE TEMPORARY TABLE fails with location
> ------------------------------------------
>
> Key: SPARK-33118
> URL: https://issues.apache.org/jira/browse/SPARK-33118
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0, 3.0.1
> Reporter: Pablo Langa Blanco
> Priority: Major
>
> The problem is produced when you use CREATE TEMPORARY TABLE with LOCATION
>
> {code:java}
> spark.range(3).write.parquet("/data/tmp/testspark1")
> spark.sql("CREATE TEMPORARY TABLE t USING parquet OPTIONS (path '/data/tmp/testspark1')")
> spark.sql("CREATE TEMPORARY TABLE t USING parquet LOCATION '/data/tmp/testspark1'")
> {code}
> The error message in both cases is
> {code:java}
> org.apache.spark.sql.AnalysisException: Unable to infer schema for Parquet. It must be specified manually.;
> at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:200)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:200)
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:408)
> at org.apache.spark.sql.execution.datasources.CreateTempViewUsing.run(ddl.scala:94)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:229)
> at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
> at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
> at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:229)
> at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
> at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:607)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:602)
> {code}
>
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