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Posted to commits@hudi.apache.org by "sivabalan narayanan (Jira)" <ji...@apache.org> on 2021/03/29 16:22:00 UTC
[jira] [Updated] (HUDI-1736) failed to read timestamp column in
version 0.7.0 even when HIVE_SUPPORT_TIMESTAMP is enabled
[ https://issues.apache.org/jira/browse/HUDI-1736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sivabalan narayanan updated HUDI-1736:
--------------------------------------
Labels: sev:triage user-support-issues (was: )
> failed to read timestamp column in version 0.7.0 even when HIVE_SUPPORT_TIMESTAMP is enabled
> --------------------------------------------------------------------------------------------
>
> Key: HUDI-1736
> URL: https://issues.apache.org/jira/browse/HUDI-1736
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: sivabalan narayanan
> Priority: Major
> Labels: sev:triage, user-support-issues
>
> sql("select * from employee_rt").show(false)
>
> {{174262 [Executor task launch worker for task 12017] ERROR org.apache.spark.executor.Executor - Exception in task 0.0 in stage 31.0 (TID 12017)
> java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot be cast to org.apache.hadoop.hive.serde2.io.TimestampWritable
> at org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableTimestampObjectInspector.getPrimitiveJavaObject(WritableTimestampObjectInspector.java:39)
> at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$14(TableReader.scala:468)
> at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$14$adapted(TableReader.scala:467)
> at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$18(TableReader.scala:493)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
> at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:127)
> at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)}}
> {{}}
> {{}}
> {{Steps to reproduce}}
> {{}}
> {code:java}
> import org.apache.spark.sql._
> import org.apache.hudi.QuickstartUtils._
> import scala.collection.JavaConversions._
> import org.apache.spark.sql.SaveMode._
> import org.apache.hudi.DataSourceReadOptions._
> import org.apache.hudi.DataSourceWriteOptions._
> import org.apache.hudi.config.HoodieWriteConfig._
> import org.apache.spark.sql.functions._
> import org.apache.hudi.QuickstartUtils._
> import scala.collection.JavaConversions._
> import org.apache.spark.sql.SaveMode._
> import org.apache.hudi.DataSourceReadOptions
> import org.apache.hudi.DataSourceWriteOptions
> import org.apache.hudi.config.HoodieWriteConfig
> import org.apache.hudi.hive.MultiPartKeysValueExtractor
> import org.apache.spark.sql.functions._
> import org.apache.hudi.keygen._
> import org.apache.spark.sql.streaming._
> case class Person(firstname:String, age:Int, gender:Int)
> val personDF = List(Person("tom",45,1), Person("iris",44,0)).toDF.withColumn("ts",unix_timestamp).withColumn("insert_time",current_timestamp)
> //val personDF2 = List(Person("peng",56,1), Person("iris",51,0),Person("jacky",25,1)).toDF.withColumn("ts",unix_timestamp).withColumn("insert_time",current_timestamp)
> //personDF.write.mode(SaveMode.Overwrite).format("hudi").saveAsTable("employee")
> val tableName = "employee"
> val hudiCommonOptions = Map(
> "hoodie.compact.inline" -> "true",
> "hoodie.compact.inline.max.delta.commits" ->"5",
> "hoodie.base.path" -> s"/tmp/$tableName",
> "hoodie.table.name" -> tableName,
> "hoodie.datasource.write.table.type"->"MERGE_ON_READ",
> "hoodie.datasource.write.operation" -> "upsert",
> "hoodie.clean.async" -> "true"
> )
> val hudiHiveOptions = Map(
> DataSourceWriteOptions.HIVE_SYNC_ENABLED_OPT_KEY -> "true",
> DataSourceWriteOptions.HIVE_URL_OPT_KEY -> "jdbc:hive2://localhost:10000",
> DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY -> "gender",
> DataSourceWriteOptions.HIVE_STYLE_PARTITIONING_OPT_KEY -> "true",
> "hoodie.datasource.hive_sync.support_timestamp"->"true",
> DataSourceWriteOptions.HIVE_TABLE_OPT_KEY -> tableName,
> DataSourceWriteOptions.HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY -> classOf[MultiPartKeysValueExtractor].getName
> )
> val basePath = s"/tmp/$tableName"
> personDF.write.format("hudi").
> option(PRECOMBINE_FIELD_OPT_KEY, "ts").
> option(RECORDKEY_FIELD_OPT_KEY, "firstname").
> option(PARTITIONPATH_FIELD_OPT_KEY, "gender").
> options(hudiCommonOptions).
> options(hudiHiveOptions).
> mode(SaveMode.Overwrite).
> save(basePath)
> sql("select * from employee_rt").show(false)
> {code}
> {{}}
> {{}}
> {{More info: https://github.com/apache/hudi/issues/2544}}
> {{}}
> {{}}
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