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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/10/10 06:02:20 UTC
[jira] [Closed] (SPARK-11659) Codegen sporadically fails with same
input character
[ https://issues.apache.org/jira/browse/SPARK-11659?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li closed SPARK-11659.
---------------------------
Resolution: Duplicate
> Codegen sporadically fails with same input character
> ----------------------------------------------------
>
> Key: SPARK-11659
> URL: https://issues.apache.org/jira/browse/SPARK-11659
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 1.5.1
> Environment: Default, Linux (Jessie)
> Reporter: Catalin Alexandru Zamfir
>
> We pretty much have a default installation of Spark 1.5.1. Some of our jobs sporadically fail with the below exception for the same "input character" (we don't have @ in our inputs as we check the types that we filter from the data, but jobs still fail) and when we re-run the same job with the same input, the same job passes without any failures. I believe it's a bug in code-gen but I can't debug this on a production cluster. One thing to note is that this has a higher chance of occurring when multiple jobs are run in parallel to one another (eg. 4 jobs at a time started on the same second using a scheduler and sharing the same context). However, I have no reproduce rule. For example, from 32 jobs scheduled in batches of 4 jobs per batch, 1 of the jobs in one of the batches may fail with the below error and with a different job, randomly. I don't know an idea on how to approach this situation to produce better information so maybe you can advise us.
> {noformat}
> Job aborted due to stage failure: Task 50 in stage 4.0 failed 4 times, most recent failure: Lost task 50.3 in stage 4.0 (TID 894, 10.136.64.112): java.util.concurrent.ExecutionException: java.lang.Exception: failed to compile: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> public SpecificOrdering generate(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> return new SpecificOrdering(expr);
> }
> class SpecificOrdering extends org.apache.spark.sql.catalyst.expressions.codegen.BaseOrdering {
>
> private org.apache.spark.sql.catalyst.expressions.Expression[] expressions;
>
>
>
> public SpecificOrdering(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> expressions = expr;
>
> }
>
> @Override
> public int compare(InternalRow a, InternalRow b) {
> InternalRow i = null; // Holds current row being evaluated.
>
> i = a;
> boolean isNullA2;
> long primitiveA3;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullA2 = isNull0;
> primitiveA3 = primitive1;
> }
> i = b;
> boolean isNullB4;
> long primitiveB5;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullB4 = isNull0;
> primitiveB5 = primitive1;
> }
> if (isNullA2 && isNullB4) {
> // Nothing
> } else if (isNullA2) {
> return -1;
> } else if (isNullB4) {
> return 1;
> } else {
> int comp = (primitiveA3 > primitiveB5 ? 1 : primitiveA3 < primitiveB5 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA8;
> long primitiveA9;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullA8 = isNull6;
> primitiveA9 = primitive7;
> }
> i = b;
> boolean isNullB10;
> long primitiveB11;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullB10 = isNull6;
> primitiveB11 = primitive7;
> }
> if (isNullA8 && isNullB10) {
> // Nothing
> } else if (isNullA8) {
> return -1;
> } else if (isNullB10) {
> return 1;
> } else {
> int comp = (primitiveA9 > primitiveB11 ? 1 : primitiveA9 < primitiveB11 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA14;
> long primitiveA15;
> {
> /* input[2, LongType] */
>
> boolean isNull12 = i.isNullAt(2);
> long primitive13 = isNull12 ? -1L : (i.getLong(2));
>
> isNullA14 = isNull12;
> primitiveA15 = primitive13;
> }
> i = b;
> boolean isNullB16;
> long primitiveB17;
> {
> /* input[2, LongType] */
>
> boolean isNull12 = i.isNullAt(2);
> long primitive13 = isNull12 ? -1L : (i.getLong(2));
>
> isNullB16 = isNull12;
> primitiveB17 = primitive13;
> }
> if (isNullA14 && isNullB16) {
> // Nothing
> } else if (isNullA14) {
> return -1;
> } else if (isNullB16) {
> return 1;
> } else {
> int comp = (primitiveA15 > primitiveB17 ? 1 : primitiveA15 < primitiveB17 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
> return 0;
> }
> }
> at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
> at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
> at org.spark-project.guava.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
> at org.spark-project.guava.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
> at org.spark-project.guava.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
> at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
> at org.spark-project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
> at org.spark-project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
> at org.spark-project.guava.cache.LocalCache.get(LocalCache.java:4000)
> at org.spark-project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
> at org.spark-project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.compile(CodeGenerator.scala:362)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:139)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:49)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering.create(GenerateOrdering.scala)
> at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:68)
> at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:257)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.switchToSortBasedAggregation(TungstenAggregationIterator.scala:435)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:379)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.start(TungstenAggregationIterator.scala:622)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.org$apache$spark$sql$execution$aggregate$TungstenAggregate$$anonfun$$executePartition$1(TungstenAggregate.scala:110)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 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)
> Caused by: java.lang.Exception: failed to compile: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> public SpecificOrdering generate(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> return new SpecificOrdering(expr);
> }
> class SpecificOrdering extends org.apache.spark.sql.catalyst.expressions.codegen.BaseOrdering {
>
> private org.apache.spark.sql.catalyst.expressions.Expression[] expressions;
>
>
>
> public SpecificOrdering(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> expressions = expr;
>
> }
>
> @Override
> public int compare(InternalRow a, InternalRow b) {
> InternalRow i = null; // Holds current row being evaluated.
>
> i = a;
> boolean isNullA2;
> long primitiveA3;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullA2 = isNull0;
> primitiveA3 = primitive1;
> }
> i = b;
> boolean isNullB4;
> long primitiveB5;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullB4 = isNull0;
> primitiveB5 = primitive1;
> }
> if (isNullA2 && isNullB4) {
> // Nothing
> } else if (isNullA2) {
> return -1;
> } else if (isNullB4) {
> return 1;
> } else {
> int comp = (primitiveA3 > primitiveB5 ? 1 : primitiveA3 < primitiveB5 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA8;
> long primitiveA9;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullA8 = isNull6;
> primitiveA9 = primitive7;
> }
> i = b;
> boolean isNullB10;
> long primitiveB11;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullB10 = isNull6;
> primitiveB11 = primitive7;
> }
> if (isNullA8 && isNullB10) {
> // Nothing
> } else if (isNullA8) {
> return -1;
> } else if (isNullB10) {
> return 1;
> } else {
> int comp = (primitiveA9 > primitiveB11 ? 1 : primitiveA9 < primitiveB11 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA14;
> long primitiveA15;
> {
> /* input[2, LongType] */
>
> boolean isNull12 = i.isNullAt(2);
> long primitive13 = isNull12 ? -1L : (i.getLong(2));
>
> isNullA14 = isNull12;
> primitiveA15 = primitive13;
> }
> i = b;
> boolean isNullB16;
> long primitiveB17;
> {
> /* input[2, LongType] */
>
> boolean isNull12 = i.isNullAt(2);
> long primitive13 = isNull12 ? -1L : (i.getLong(2));
>
> isNullB16 = isNull12;
> primitiveB17 = primitive13;
> }
> if (isNullA14 && isNullB16) {
> // Nothing
> } else if (isNullA14) {
> return -1;
> } else if (isNullB16) {
> return 1;
> } else {
> int comp = (primitiveA15 > primitiveB17 ? 1 : primitiveA15 < primitiveB17 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
> return 0;
> }
> }
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:392)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:412)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:409)
> at org.spark-project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
> at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
> ... 41 more
> Caused by: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> at org.codehaus.janino.Scanner.internalRead(Scanner.java:838)
> at org.codehaus.janino.Scanner.read(Scanner.java:261)
> at org.codehaus.janino.Parser.readOperator(Parser.java:2387)
> at org.codehaus.janino.Parser.parseConstructorDeclarator(Parser.java:721)
> at org.codehaus.janino.Parser.parseClassBodyDeclaration(Parser.java:435)
> at org.codehaus.janino.Parser.parseClassBody(Parser.java:338)
> at org.codehaus.janino.Parser.parseClassDeclarationRest(Parser.java:311)
> at org.codehaus.janino.Parser.parseClassBodyDeclaration(Parser.java:406)
> at org.codehaus.janino.ClassBodyEvaluator.cook(ClassBodyEvaluator.java:220)
> at org.codehaus.janino.SimpleCompiler.cook(SimpleCompiler.java:194)
> at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:80)
> at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:72)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:387)
> ... 45 more
> Driver stacktrace:
> {noformat}
> While writing this ticket, I have a batch of jobs running and just got another stacktrace from another, totally different job. Posting the output here:
> {noformat}
> Job aborted due to stage failure: Task 15 in stage 106.0 failed 4 times, most recent failure: Lost task 15.3 in stage 106.0 (TID 24842, 10.136.64.111): java.util.concurrent.ExecutionException: java.lang.Exception: failed to compile: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> public SpecificOrdering generate(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> return new SpecificOrdering(expr);
> }
> class SpecificOrdering extends org.apache.spark.sql.catalyst.expressions.codegen.BaseOrdering {
>
> private org.apache.spark.sql.catalyst.expressions.Expression[] expressions;
>
>
>
> public SpecificOrdering(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> expressions = expr;
>
> }
>
> @Override
> public int compare(InternalRow a, InternalRow b) {
> InternalRow i = null; // Holds current row being evaluated.
>
> i = a;
> boolean isNullA2;
> long primitiveA3;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullA2 = isNull0;
> primitiveA3 = primitive1;
> }
> i = b;
> boolean isNullB4;
> long primitiveB5;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullB4 = isNull0;
> primitiveB5 = primitive1;
> }
> if (isNullA2 && isNullB4) {
> // Nothing
> } else if (isNullA2) {
> return -1;
> } else if (isNullB4) {
> return 1;
> } else {
> int comp = (primitiveA3 > primitiveB5 ? 1 : primitiveA3 < primitiveB5 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA8;
> long primitiveA9;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullA8 = isNull6;
> primitiveA9 = primitive7;
> }
> i = b;
> boolean isNullB10;
> long primitiveB11;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullB10 = isNull6;
> primitiveB11 = primitive7;
> }
> if (isNullA8 && isNullB10) {
> // Nothing
> } else if (isNullA8) {
> return -1;
> } else if (isNullB10) {
> return 1;
> } else {
> int comp = (primitiveA9 > primitiveB11 ? 1 : primitiveA9 < primitiveB11 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
> return 0;
> }
> }
> at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
> at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
> at org.spark-project.guava.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
> at org.spark-project.guava.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
> at org.spark-project.guava.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
> at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
> at org.spark-project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
> at org.spark-project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
> at org.spark-project.guava.cache.LocalCache.get(LocalCache.java:4000)
> at org.spark-project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
> at org.spark-project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.compile(CodeGenerator.scala:362)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:139)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:49)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering.create(GenerateOrdering.scala)
> at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:68)
> at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:257)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.switchToSortBasedAggregation(TungstenAggregationIterator.scala:435)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:379)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.start(TungstenAggregationIterator.scala:622)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.org$apache$spark$sql$execution$aggregate$TungstenAggregate$$anonfun$$executePartition$1(TungstenAggregate.scala:110)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 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)
> Caused by: java.lang.Exception: failed to compile: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> public SpecificOrdering generate(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> return new SpecificOrdering(expr);
> }
> class SpecificOrdering extends org.apache.spark.sql.catalyst.expressions.codegen.BaseOrdering {
>
> private org.apache.spark.sql.catalyst.expressions.Expression[] expressions;
>
>
>
> public SpecificOrdering(org.apache.spark.sql.catalyst.expressions.Expression[] expr) {
> expressions = expr;
>
> }
>
> @Override
> public int compare(InternalRow a, InternalRow b) {
> InternalRow i = null; // Holds current row being evaluated.
>
> i = a;
> boolean isNullA2;
> long primitiveA3;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullA2 = isNull0;
> primitiveA3 = primitive1;
> }
> i = b;
> boolean isNullB4;
> long primitiveB5;
> {
> /* input[0, LongType] */
>
> boolean isNull0 = i.isNullAt(0);
> long primitive1 = isNull0 ? -1L : (i.getLong(0));
>
> isNullB4 = isNull0;
> primitiveB5 = primitive1;
> }
> if (isNullA2 && isNullB4) {
> // Nothing
> } else if (isNullA2) {
> return -1;
> } else if (isNullB4) {
> return 1;
> } else {
> int comp = (primitiveA3 > primitiveB5 ? 1 : primitiveA3 < primitiveB5 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
>
> i = a;
> boolean isNullA8;
> long primitiveA9;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullA8 = isNull6;
> primitiveA9 = primitive7;
> }
> i = b;
> boolean isNullB10;
> long primitiveB11;
> {
> /* input[1, LongType] */
>
> boolean isNull6 = i.isNullAt(1);
> long primitive7 = isNull6 ? -1L : (i.getLong(1));
>
> isNullB10 = isNull6;
> primitiveB11 = primitive7;
> }
> if (isNullA8 && isNullB10) {
> // Nothing
> } else if (isNullA8) {
> return -1;
> } else if (isNullB10) {
> return 1;
> } else {
> int comp = (primitiveA9 > primitiveB11 ? 1 : primitiveA9 < primitiveB11 ? -1 : 0);
> if (comp != 0) {
> return comp;
> }
> }
>
> return 0;
> }
> }
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:392)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:412)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:409)
> at org.spark-project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
> at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
> ... 41 more
> Caused by: org.codehaus.commons.compiler.CompileException: Line 15, Column 9: Invalid character input "@" (character code 64)
> at org.codehaus.janino.Scanner.internalRead(Scanner.java:838)
> at org.codehaus.janino.Scanner.read(Scanner.java:261)
> at org.codehaus.janino.Parser.readOperator(Parser.java:2387)
> at org.codehaus.janino.Parser.parseConstructorDeclarator(Parser.java:721)
> at org.codehaus.janino.Parser.parseClassBodyDeclaration(Parser.java:435)
> at org.codehaus.janino.Parser.parseClassBody(Parser.java:338)
> at org.codehaus.janino.Parser.parseClassDeclarationRest(Parser.java:311)
> at org.codehaus.janino.Parser.parseClassBodyDeclaration(Parser.java:406)
> at org.codehaus.janino.ClassBodyEvaluator.cook(ClassBodyEvaluator.java:220)
> at org.codehaus.janino.SimpleCompiler.cook(SimpleCompiler.java:194)
> at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:80)
> at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:72)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:387)
> ... 45 more
> Driver stacktrace:
> {noformat}
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