org.apache.spark.sql.execution.QueryExecutionException: FAILED: SemanticException Unrecognized file format in STORED AS clause: 'TEXTILE'

Stack Overflow | AKC | 5 months ago
tip
Your exception is missing from the Samebug knowledge base.
Here are the best solutions we found on the Internet.
Click on the to mark the helpful solution and get rewards for you help.
  1. 0

    CREATE TABLE of HIVE in SPARK/JAVA Program is giving error

    Stack Overflow | 5 months ago | AKC
    org.apache.spark.sql.execution.QueryExecutionException: FAILED: SemanticException Unrecognized file format in STORED AS clause: 'TEXTILE'
  2. 0

    [HIVE-10990] Compatibility Hive-1.2 an hbase-1.0.1.1 - ASF JIRA

    apache.org | 1 year ago
    org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. org.apache.hadoop.hbase.HTableDescriptor.addFamily(Lorg/apache/hadoop/hbase/HColumnDescriptor;)V
  3. 0

    UnsatisfiedLinkError when creating hive partition in spark

    Stack Overflow | 2 months ago | Zanarou
    org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. org.apache.hadoop.util.NativeCrc32.nativeComputeChunkedSumsByteArray(II[BI[BIILjava/lang/String;JZ)V
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    locking hive table from spark HiveContext

    Stack Overflow | 11 months ago | Vivek Kumar
    org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. lock Table LockManager not specified

    1 unregistered visitors

    Root Cause Analysis

    1. org.apache.spark.sql.execution.QueryExecutionException

      FAILED: SemanticException Unrecognized file format in STORED AS clause: 'TEXTILE'

      at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply()
    2. org.apache.spark
      ClientWrapper.runSqlHive
      1. org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:499)
      2. org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:484)
      3. org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:290)
      4. org.apache.spark.sql.hive.client.ClientWrapper.liftedTree1$1(ClientWrapper.scala:237)
      5. org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:236)
      6. org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:279)
      7. org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:484)
      8. org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:474)
      8 frames
    3. Spark Project Hive
      HiveNativeCommand.run
      1. org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:605)
      2. org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
      2 frames
    4. Spark Project SQL
      SparkPlan$$anonfun$execute$5.apply
      1. org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58)
      2. org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56)
      3. org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70)
      4. org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
      5. org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
      5 frames
    5. Spark
      RDDOperationScope$.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
      1 frame
    6. Spark Project SQL
      SQLContext.sql
      1. org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
      2. org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)
      3. org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
      4. org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)
      5. org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)
      6. org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
      7. org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
      7 frames
    7. com.comcast.emm
      LegalDemand.main
      1. com.comcast.emm.vodip.Viper2.LegalDemand.main(LegalDemand.java:84)
      1 frame
    8. Java RT
      Method.invoke
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      4. java.lang.reflect.Method.invoke(Method.java:606)
      4 frames
    9. Spark
      SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain
      1. org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
      1 frame