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Posted to issues@carbondata.apache.org by "Geetika Gupta (JIRA)" <ji...@apache.org> on 2018/02/23 10:43:00 UTC
[jira] [Created] (CARBONDATA-2198) Streaming data to a table with
bad_records_action as IGNORE throws ClassCastException
Geetika Gupta created CARBONDATA-2198:
-----------------------------------------
Summary: Streaming data to a table with bad_records_action as IGNORE throws ClassCastException
Key: CARBONDATA-2198
URL: https://issues.apache.org/jira/browse/CARBONDATA-2198
Project: CarbonData
Issue Type: Bug
Components: data-load
Affects Versions: 1.4.0
Reporter: Geetika Gupta
Steps to reproduce:
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package org.apache.carbondata.examples
import java.io.\{File, PrintWriter}
import java.net.ServerSocket
import org.apache.spark.sql.\{CarbonEnv, SparkSession}
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}
// scalastyle:off println
object CarbonStructuredStreamingExample {
def main(args: Array[String]) {
// setup paths
val rootPath = new File(this.getClass.getResource("/").getPath
+ "../../../..").getCanonicalPath
val storeLocation = s"$rootPath/examples/spark2/target/store"
val warehouse = s"$rootPath/examples/spark2/target/warehouse"
val metastoredb = s"$rootPath/examples/spark2/target"
val streamTableName = s"stream_table"
CarbonProperties.getInstance()
.addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "yyyy/MM/dd")
import org.apache.spark.sql.CarbonSession._
val spark = SparkSession
.builder()
.master("local")
.appName("CarbonStructuredStreamingExample")
.config("spark.sql.warehouse.dir", warehouse)
.getOrCreateCarbonSession(storeLocation, metastoredb)
spark.sparkContext.setLogLevel("ERROR")
val requireCreateTable = true
val useComplexDataType = false
if (requireCreateTable) {
// drop table if exists previously
spark.sql(s"DROP TABLE IF EXISTS ${ streamTableName }")
// Create target carbon table and populate with initial data
if (useComplexDataType) {
spark.sql(
s"""
| CREATE TABLE ${ streamTableName }(
| id INT,
| name STRING,
| city STRING,
| salary FLOAT,
| file struct<school:array<string>, age:int>
| )
| STORED BY 'carbondata'
| TBLPROPERTIES(
| 'streaming'='true', 'sort_columns'='name', 'dictionary_include'='city')
| """.stripMargin)
} else {
spark.sql(
s"""
| CREATE TABLE ${ streamTableName }(
| id INT,
| name STRING,
| city STRING,
| salary FLOAT
| )
| STORED BY 'carbondata'
| TBLPROPERTIES(
| 'streaming'='true', 'sort_columns'='name')
| """.stripMargin)
}
val carbonTable = CarbonEnv.getCarbonTable(Some("default"), streamTableName)(spark)
val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
// streaming ingest
val serverSocket = new ServerSocket(7071)
val thread1 = startStreaming(spark, tablePath)
val thread2 = writeSocket(serverSocket)
System.out.println("type enter to interrupt streaming")
System.in.read()
thread1.interrupt()
thread2.interrupt()
serverSocket.close()
}
spark.sql(s"select * from $streamTableName").show
spark.stop()
System.out.println("streaming finished")
}
def showTableCount(spark: SparkSession, tableName: String): Thread = {
val thread = new Thread() {
override def run(): Unit = {
for (_ <- 0 to 1000) {
spark.sql(s"select count(*) from $tableName").show(truncate = false)
Thread.sleep(1000 * 3)
}
}
}
thread.start()
thread
}
def startStreaming(spark: SparkSession, tablePath: CarbonTablePath): Thread = {
val thread = new Thread() {
override def run(): Unit = {
var qry: StreamingQuery = null
try {
val readSocketDF = spark.readStream
.format("socket")
.option("host", "localhost")
.option("port", 7071)
.load()
// Write data from socket stream to carbondata file
qry = readSocketDF.writeStream
.format("carbondata")
.trigger(ProcessingTime("5 seconds"))
.option("checkpointLocation", tablePath.getStreamingCheckpointDir)
.option("bad_records_action", "ignore")
.option("dbName", "default")
.option("tableName", "stream_table")
.start()
qry.awaitTermination()
} catch {
case ex: Exception =>
ex.printStackTrace()
println("Done reading and writing streaming data")
} finally {
qry.stop()
}
}
}
thread.start()
thread
}
def writeSocket(serverSocket: ServerSocket): Thread = {
val thread = new Thread() {
override def run(): Unit = {
// wait for client to connection request and accept
val clientSocket = serverSocket.accept()
val socketWriter = new PrintWriter(clientSocket.getOutputStream())
var index = 0
for (_ <- 1 to 1000) {
// write 5 records per iteration
for (_ <- 0 to 1000) {
index = index + 1
socketWriter.println("null" + ",name_" + index
+ ",city_" + index + "," + (index * 10000.00).toString +
",school_" + index + ":school_" + index + index + "$" + index)
}
socketWriter.flush()
Thread.sleep(1000)
}
socketWriter.close()
System.out.println("Socket closed")
}
}
thread.start()
thread
}
}
// scalastyle:on println
In the above example we are streaming data to table with bad_records_action as IGNORE, it throws ClassCastException.
Here are the logs:
18/02/23 16:09:50 ERROR StreamSegment: Executor task launch worker-0 Failed to append batch data to stream segment: /home/geetika/Workspace/incubator-carbondata/examples/spark2/target/store/default/stream_table/Fact/Part0/Segment_0
java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordWriter.write(CarbonStreamRecordWriter.java:241)
at org.apache.carbondata.streaming.segment.StreamSegment.appendBatchData(StreamSegment.java:244)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply$mcV$sp(CarbonAppendableStreamSink.scala:315)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1341)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$.writeDataFileTask(CarbonAppendableStreamSink.scala:317)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:228)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:227)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
18/02/23 16:09:50 ERROR Utils: Aborting task
java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordWriter.write(CarbonStreamRecordWriter.java:241)
at org.apache.carbondata.streaming.segment.StreamSegment.appendBatchData(StreamSegment.java:244)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply$mcV$sp(CarbonAppendableStreamSink.scala:315)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1341)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$.writeDataFileTask(CarbonAppendableStreamSink.scala:317)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:228)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:227)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
18/02/23 16:09:50 ERROR CarbonAppendableStreamSink$: Executor task launch worker-0 Job job_20180223160950_0000 aborted.
18/02/23 16:09:50 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
org.apache.carbondata.streaming.CarbonStreamException: Task failed while writing rows
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$.writeDataFileTask(CarbonAppendableStreamSink.scala:324)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:228)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:227)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordWriter.write(CarbonStreamRecordWriter.java:241)
at org.apache.carbondata.streaming.segment.StreamSegment.appendBatchData(StreamSegment.java:244)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply$mcV$sp(CarbonAppendableStreamSink.scala:315)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileTask$1.apply(CarbonAppendableStreamSink.scala:305)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1341)
at org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$.writeDataFileTask(CarbonAppendableStreamSink.scala:317)
... 8 more
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