[ https://issues.apache.org/jira/browse/SPARK-32380 ]


    Mehul Thakkar deleted comment on SPARK-32380:
    ---------------------------------------

was (Author: JIRAUSER297345):
I am waiting for the permanent fix for this issue in Spark 3.x

> sparksql cannot access hive table while data in hbase
> -----------------------------------------------------
>
>                 Key: SPARK-32380
>                 URL: https://issues.apache.org/jira/browse/SPARK-32380
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.0
>         Environment: ||component||version||
> |hadoop|2.8.5|
> |hive|2.3.7|
> |spark|3.0.0|
> |hbase|1.4.9|
>            Reporter: deyzhong
>            Priority: Major
>   Original Estimate: 72h
>  Remaining Estimate: 72h
>
> * step1: create hbase table
> {code:java}
>  hbase(main):001:0>create 'hbase_test1', 'cf1'
>  hbase(main):001:0> put 'hbase_test', 'r1', 'cf1:c1', '123'
> {code}
>  * step2: create hive table related to hbase table
>  
> {code:java}
> hive> 
> CREATE EXTERNAL TABLE `hivetest.hbase_test`(
>   `key` string COMMENT '', 
>   `value` string COMMENT '')
> ROW FORMAT SERDE 
>   'org.apache.hadoop.hive.hbase.HBaseSerDe' 
> STORED BY 
>   'org.apache.hadoop.hive.hbase.HBaseStorageHandler' 
> WITH SERDEPROPERTIES ( 
>   'hbase.columns.mapping'=':key,cf1:v1', 
>   'serialization.format'='1')
> TBLPROPERTIES (
>   'hbase.table.name'='hbase_test')
>  {code}
>  * step3: sparksql query hive table while data in hbase
> {code:java}
> spark-sql --master yarn -e "select * from hivetest.hbase_test"
> {code}
>  
> The error log as follow: 
> java.io.IOException: Cannot create a record reader because of a previous 
> error. Please look at the previous logs lines from the task's full log for 
> more details.
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:270)
>  at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:131)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)
>  at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004)
>  at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>  at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>  at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
>  at org.apache.spark.rdd.RDD.collect(RDD.scala:1003)
>  at 
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
>  at 
> org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:412)
>  at 
> org.apache.spark.sql.execution.HiveResult$.hiveResultString(HiveResult.scala:58)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.$anonfun$run$1(SparkSQLDriver.scala:65)
>  at 
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$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$1(SQLExecution.scala:87)
>  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
>  at 
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:65)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:377)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:496)
>  at scala.collection.Iterator.foreach(Iterator.scala:941)
>  at scala.collection.Iterator.foreach$(Iterator.scala:941)
>  at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>  at scala.collection.IterableLike.foreach(IterableLike.scala:74)
>  at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
>  at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:490)
>  at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:336)
>  at org.apache.hadoop.hive.cli.CliDriver.processReader(CliDriver.java:474)
>  at org.apache.hadoop.hive.cli.CliDriver.processFile(CliDriver.java:490)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:206)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
>  at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>  at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>  at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>  at java.lang.reflect.Method.invoke(Method.java:498)
>  at 
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
>  at 
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928)
>  at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
>  at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
>  at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
>  at 
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
>  at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
>  at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>  Caused by: java.lang.IllegalStateException: The input format instance has 
> not been properly initialized. Ensure you call initializeTable either in your 
> constructor or initialize method
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getTable(TableInputFormatBase.java:652)
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:265)
>  ... 62 more
>  java.io.IOException: Cannot create a record reader because of a previous 
> error. Please look at the previous logs lines from the task's full log for 
> more details.
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:270)
>  at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:131)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
>  at scala.Option.getOrElse(Option.scala:189)
>  at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
>  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)
>  at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004)
>  at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>  at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>  at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
>  at org.apache.spark.rdd.RDD.collect(RDD.scala:1003)
>  at 
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
>  at 
> org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:412)
>  at 
> org.apache.spark.sql.execution.HiveResult$.hiveResultString(HiveResult.scala:58)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.$anonfun$run$1(SparkSQLDriver.scala:65)
>  at 
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$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$1(SQLExecution.scala:87)
>  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
>  at 
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:65)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:377)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:496)
>  at scala.collection.Iterator.foreach(Iterator.scala:941)
>  at scala.collection.Iterator.foreach$(Iterator.scala:941)
>  at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>  at scala.collection.IterableLike.foreach(IterableLike.scala:74)
>  at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
>  at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:490)
>  at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:336)
>  at org.apache.hadoop.hive.cli.CliDriver.processReader(CliDriver.java:474)
>  at org.apache.hadoop.hive.cli.CliDriver.processFile(CliDriver.java:490)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:206)
>  at 
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
>  at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>  at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>  at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>  at java.lang.reflect.Method.invoke(Method.java:498)
>  at 
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
>  at 
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928)
>  at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
>  at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
>  at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
>  at 
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
>  at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
>  at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>  Caused by: java.lang.IllegalStateException: The input format instance has 
> not been properly initialized. Ensure you call initializeTable either in your 
> constructor or initialize method
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getTable(TableInputFormatBase.java:652)
>  at 
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:265)
>  ... 62 more



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