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Posted to issues@carbondata.apache.org by "Chetan Bhat (JIRA)" <ji...@apache.org> on 2017/11/20 11:23:01 UTC
[jira] [Created] (CARBONDATA-1781) (Carbon1.3.0 - Streaming) Select
* & select column fails but select count(*) is success when .streaming file
is removed from HDFS
Chetan Bhat created CARBONDATA-1781:
---------------------------------------
Summary: (Carbon1.3.0 - Streaming) Select * & select column fails but select count(*) is success when .streaming file is removed from HDFS
Key: CARBONDATA-1781
URL: https://issues.apache.org/jira/browse/CARBONDATA-1781
Project: CarbonData
Issue Type: Bug
Components: data-query
Affects Versions: 1.3.0
Environment: 3 node ant cluster
Reporter: Chetan Bhat
*Steps :*
Thrift server is started using the command - bin/spark-submit --master yarn-client --executor-memory 10G --executor-cores 5 --driver-memory 5G --num-executors 3 --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer /srv/spark2.2Bigdata/install/spark/sparkJdbc/carbonlib/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar "hdfs://hacluster/user/hive/warehouse/carbon.store"
Spark shell is opened using the command - bin/spark-shell --master yarn-client --executor-memory 10G --executor-cores 5 --driver-memory 5G --num-executors 3 --jars /srv/spark2.2Bigdata/install/spark/sparkJdbc/carbonlib/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar
From spark shell the below code is executed -
import java.io.{File, PrintWriter}
import java.net.ServerSocket
import org.apache.spark.sql.{CarbonEnv, SparkSession}
import org.apache.spark.sql.hive.CarbonRelation
import org.apache.spark.sql.streaming.{ProcessingTime, StreamingQuery}
import org.apache.carbondata.core.constants.CarbonCommonConstants
import org.apache.carbondata.core.util.CarbonProperties
import org.apache.carbondata.core.util.path.{CarbonStorePath, CarbonTablePath}
CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "yyyy/MM/dd")
import org.apache.spark.sql.CarbonSession._
val carbonSession = SparkSession.
builder().
appName("StreamExample").
getOrCreateCarbonSession("hdfs://hacluster/user/hive/warehouse/carbon.store")
carbonSession.sparkContext.setLogLevel("INFO")
def sql(sql: String) = carbonSession.sql(sql)
def writeSocket(serverSocket: ServerSocket): Thread = {
val thread = new Thread() {
override def run(): Unit = {
// wait for client to connection request and accept
val clientSocket = serverSocket.accept()
val socketWriter = new PrintWriter(clientSocket.getOutputStream())
var index = 0
for (_ <- 1 to 1000) {
// write 5 records per iteration
for (_ <- 0 to 100) {
index = index + 1
socketWriter.println(index.toString + ",name_" + index
+ ",city_" + index + "," + (index * 10000.00).toString +
",school_" + index + ":school_" + index + index + "$" + index)
}
socketWriter.flush()
Thread.sleep(2000)
}
socketWriter.close()
System.out.println("Socket closed")
}
}
thread.start()
thread
}
def startStreaming(spark: SparkSession, tablePath: CarbonTablePath, tableName: String, port: Int): Thread = {
val thread = new Thread() {
override def run(): Unit = {
var qry: StreamingQuery = null
try {
val readSocketDF = spark.readStream
.format("socket")
.option("host", "10.18.98.34")
.option("port", port)
.load()
qry = readSocketDF.writeStream
.format("carbondata")
.trigger(ProcessingTime("5 seconds"))
.option("checkpointLocation", tablePath.getStreamingCheckpointDir)
.option("tablePath", tablePath.getPath).option("tableName", tableName)
.start()
qry.awaitTermination()
} catch {
case ex: Throwable =>
ex.printStackTrace()
println("Done reading and writing streaming data")
} finally {
qry.stop()
}
}
}
thread.start()
thread
}
val streamTableName = "brinjal"
sql(s"drop table brinjal").show
sql(s"create table brinjal (imei string,AMSize string,channelsId string,ActiveCountry string, Activecity string,gamePointId double,deviceInformationId double,productionDate Timestamp,deliveryDate timestamp,deliverycharge double) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES('streaming'='true','table_blocksize'='1')")
sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/vardhandaterestruct.csv' INTO TABLE brinjal OPTIONS('DELIMITER'=',', 'QUOTECHAR'= '','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'= 'imei,deviceInformationId,AMSize,channelsId,ActiveCountry,Activecity,gamePointId,productionDate,deliveryDate,deliverycharge')")
val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
lookupRelation(Some("default"), streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable
val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
val port = 8002
val serverSocket = new ServerSocket(port)
val socketThread = writeSocket(serverSocket)
val streamingThread = startStreaming(carbonSession, tablePath, streamTableName, port)
From other terminal user deletes the .streaming file - BLR1000014307:/srv/spark2.2Bigdata/install/hadoop/datanode # bin/hadoop fs -rm -r /user/hive/warehouse/carbon.store/default/brinjal/.streaming
17/11/20 19:02:11 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Deleted /user/hive/warehouse/carbon.store/default/brinjal/.streaming
From beeline session user executes the select * , select column and select count queries.
*Issue : Select * and select column queries fail and throw exception while select count(*) displays result set.*
0: jdbc:hive2://10.18.98.34:23040> select * from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 17.0 failed 4 times, most recent failure: Lost task 4.3 in stage 17.0 (TID 120, BLR1000014307, executor 12): java.io.EOFException
at org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:298)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select imei from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in stage 18.0 failed 4 times, most recent failure: Lost task 5.3 in stage 18.0 (TID 136, BLR1000014307, executor 13): java.io.EOFException
at org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:298)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select count(*) from brinjal;
+-----------+--+
| count(1) |
+-----------+--+
| 11916 |
+-----------+--+
1 row selected (0.545 seconds)
*Expected : The behavior of select * and select column should be consistent with the select count(*) behavior for streaming query.*
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