[ 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}} > {{}} > {{}} -- This message was sent by Atlassian Jira (v8.3.4#803005)