xubo245 created CARBONDATA-3356:
-----------------------------------
Summary: There are some exception when carbonData DataSource read
SDK files with varchar
Key: CARBONDATA-3356
URL: https://issues.apache.org/jira/browse/CARBONDATA-3356
Project: CarbonData
Issue Type: Bug
Reporter: xubo245
There are some exception when carbonData DataSource read SDK files with
varchar
## write data:
{code:java}
public void testReadSchemaFromDataFileArrayString() {
String path = "./testWriteFiles";
try {
FileUtils.deleteDirectory(new File(path));
Field[] fields = new Field[11];
fields[0] = new Field("stringField", DataTypes.STRING);
fields[1] = new Field("shortField", DataTypes.SHORT);
fields[2] = new Field("intField", DataTypes.INT);
fields[3] = new Field("longField", DataTypes.LONG);
fields[4] = new Field("doubleField", DataTypes.DOUBLE);
fields[5] = new Field("boolField", DataTypes.BOOLEAN);
fields[6] = new Field("dateField", DataTypes.DATE);
fields[7] = new Field("timeField", DataTypes.TIMESTAMP);
fields[8] = new Field("decimalField", DataTypes.createDecimalType(8, 2));
fields[9] = new Field("varcharField", DataTypes.VARCHAR);
fields[10] = new Field("arrayField",
DataTypes.createArrayType(DataTypes.STRING));
Map<String, String> map = new HashMap<>();
map.put("complex_delimiter_level_1", "#");
CarbonWriter writer = CarbonWriter.builder()
.outputPath(path)
.withLoadOptions(map)
.withCsvInput(new Schema(fields))
.writtenBy("CarbonReaderTest")
.build();
for (int i = 0; i < 10; i++) {
String[] row2 = new String[]{
"robot" + (i % 10),
String.valueOf(i % 10000),
String.valueOf(i),
String.valueOf(Long.MAX_VALUE - i),
String.valueOf((double) i / 2),
String.valueOf(true),
"2019-03-02",
"2019-02-12 03:03:34",
"12.345",
"varchar",
"Hello#World#From#Carbon"
};
writer.write(row2);
}
writer.close();
File[] dataFiles = new File(path).listFiles(new FilenameFilter() {
@Override
public boolean accept(File dir, String name) {
if (name == null) {
return false;
}
return name.endsWith("carbondata");
}
});
if (dataFiles == null || dataFiles.length < 1) {
throw new RuntimeException("Carbon data file not exists.");
}
Schema schema = CarbonSchemaReader
.readSchema(dataFiles[0].getAbsolutePath())
.asOriginOrder();
// Transform the schema
String[] strings = new String[schema.getFields().length];
for (int i = 0; i < schema.getFields().length; i++) {
strings[i] = (schema.getFields())[i].getFieldName();
}
// Read data
CarbonReader reader = CarbonReader
.builder(path, "_temp")
.projection(strings)
.build();
int i = 0;
while (reader.hasNext()) {
Object[] row = (Object[]) reader.readNextRow();
assert (row[0].equals("robot" + i));
assert (row[2].equals(i));
assert (row[6].equals(17957));
Object[] arr = (Object[]) row[10];
assert (arr[0].equals("Hello"));
assert (arr[3].equals("Carbon"));
i++;
}
reader.close();
// FileUtils.deleteDirectory(new File(path));
} catch (Throwable e) {
e.printStackTrace();
Assert.fail(e.getMessage());
}
}
{code}
## read data
{code:java}
test("Test read image carbon with spark carbon file format, generate by
sdk, CTAS") {
sql("DROP TABLE IF EXISTS binaryCarbon")
sql("DROP TABLE IF EXISTS binaryCarbon3")
if (SparkUtil.isSparkVersionEqualTo("2.1")) {
sql(s"CREATE TABLE binaryCarbon USING CARBON OPTIONS(PATH
'$writerPath')")
sql(s"CREATE TABLE binaryCarbon3 USING CARBON OPTIONS(PATH
'$outputPath')" + " AS SELECT * FROM binaryCarbon")
} else {
// sql(s"CREATE TABLE binaryCarbon USING CARBON LOCATION
'$writerPath'")
sql(s"CREATE TABLE binaryCarbon USING CARBON LOCATION
'/Users/xubo/Desktop/xubo/git/carbondata3/store/sdk/testWriteFiles'")
sql("SELECT COUNT(*) FROM binaryCarbon").show()
}
}
{code}
## exception:
{code:java}
java.io.IOException: All common columns present in the files doesn't have same
datatype. Unsupported operation on nonTransactional table. Check logs.
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.updateColumns(AbstractQueryExecutor.java:290)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getDataBlocks(AbstractQueryExecutor.java:234)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.initQuery(AbstractQueryExecutor.java:138)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getBlockExecutionInfos(AbstractQueryExecutor.java:407)
at
org.apache.carbondata.core.scan.executor.impl.VectorDetailQueryExecutor.execute(VectorDetailQueryExecutor.java:44)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.initialize(VectorizedCarbonRecordReader.java:146)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:422)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:383)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
2019-04-20 10:42:08 ERROR TaskSetManager:70 - Task 0 in stage 0.0 failed 1
times; aborting job
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most
recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver):
java.io.IOException: All common columns present in the files doesn't have same
datatype. Unsupported operation on nonTransactional table. Check logs.
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.updateColumns(AbstractQueryExecutor.java:290)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getDataBlocks(AbstractQueryExecutor.java:234)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.initQuery(AbstractQueryExecutor.java:138)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getBlockExecutionInfos(AbstractQueryExecutor.java:407)
at
org.apache.carbondata.core.scan.executor.impl.VectorDetailQueryExecutor.execute(VectorDetailQueryExecutor.java:44)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.initialize(VectorizedCarbonRecordReader.java:146)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:422)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:383)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID
0, localhost, executor driver): java.io.IOException: All common columns present
in the files doesn't have same datatype. Unsupported operation on
nonTransactional table. Check logs.
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.updateColumns(AbstractQueryExecutor.java:290)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getDataBlocks(AbstractQueryExecutor.java:234)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.initQuery(AbstractQueryExecutor.java:138)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getBlockExecutionInfos(AbstractQueryExecutor.java:407)
at
org.apache.carbondata.core.scan.executor.impl.VectorDetailQueryExecutor.execute(VectorDetailQueryExecutor.java:44)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.initialize(VectorizedCarbonRecordReader.java:146)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:422)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:383)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1651)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1639)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1638)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1638)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1872)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1821)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1810)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
at
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:363)
at
org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3278)
at
org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2489)
at
org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2489)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3258)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2489)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2703)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:254)
at org.apache.spark.sql.Dataset.show(Dataset.scala:723)
at org.apache.spark.sql.Dataset.show(Dataset.scala:682)
at org.apache.spark.sql.Dataset.show(Dataset.scala:691)
at
org.apache.spark.sql.carbondata.datasource.SparkCarbonDataSourceBinaryTest$$anonfun$2.apply$mcV$sp(SparkCarbonDataSourceBinaryTest.scala:93)
at
org.apache.spark.sql.carbondata.datasource.SparkCarbonDataSourceBinaryTest$$anonfun$2.apply(SparkCarbonDataSourceBinaryTest.scala:84)
at
org.apache.spark.sql.carbondata.datasource.SparkCarbonDataSourceBinaryTest$$anonfun$2.apply(SparkCarbonDataSourceBinaryTest.scala:84)
at
org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
at org.scalatest.Suite$class.withFixture(Suite.scala:1122)
at org.scalatest.FunSuite.withFixture(FunSuite.scala:1555)
at
org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
at
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
at
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
at org.scalatest.FunSuite.runTest(FunSuite.scala:1555)
at
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
at
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
at
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
at
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
at
org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
at org.scalatest.Suite$class.run(Suite.scala:1424)
at
org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
at
org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
at
org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
at
org.apache.spark.sql.carbondata.datasource.SparkCarbonDataSourceBinaryTest.org$scalatest$BeforeAndAfterAll$$super$run(SparkCarbonDataSourceBinaryTest.scala:32)
at
org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
at
org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
at
org.apache.spark.sql.carbondata.datasource.SparkCarbonDataSourceBinaryTest.run(SparkCarbonDataSourceBinaryTest.scala:32)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:55)
at
org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2563)
at
org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2557)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:2557)
at
org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1044)
at
org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1043)
at
org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:2722)
at
org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1043)
at org.scalatest.tools.Runner$.run(Runner.scala:883)
at org.scalatest.tools.Runner.run(Runner.scala)
at
org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:131)
at
org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)
Caused by: java.io.IOException: All common columns present in the files doesn't
have same datatype. Unsupported operation on nonTransactional table. Check logs.
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.updateColumns(AbstractQueryExecutor.java:290)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getDataBlocks(AbstractQueryExecutor.java:234)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.initQuery(AbstractQueryExecutor.java:138)
at
org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getBlockExecutionInfos(AbstractQueryExecutor.java:407)
at
org.apache.carbondata.core.scan.executor.impl.VectorDetailQueryExecutor.execute(VectorDetailQueryExecutor.java:44)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.initialize(VectorizedCarbonRecordReader.java:146)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:422)
at
org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:383)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
{code}
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