qiang.bi created HIVE-25193:
-------------------------------
Summary: Vectorized Query Execution: ClassCastException when use
nvl() function which default_value is decimal type
Key: HIVE-25193
URL: https://issues.apache.org/jira/browse/HIVE-25193
Project: Hive
Issue Type: Bug
Components: Vectorization
Affects Versions: 4.0.0
Reporter: qiang.bi
Assignee: qiang.bi
Problem statement:
{code:java}
set hive.vectorized.execution.enabled = true;
select nvl(get_json_object(attr_json,'$.correctedPrice'),0.88) corrected_price,
from dw_mdm_sync_asset;
{code}
The error log:
{code:java}
[2021-05-24 08:06:05.627]], TaskAttempt 3 failed, info=[Error: Error while
running task ( failure ) :
attempt_1619882873092_4567_1_03_000000_3:java.lang.RuntimeException:
java.lang.RuntimeException: Hive Runtime Error while closing
operators[2021-05-24 08:06:05.627]], TaskAttempt 3 failed, info=[Error: Error
while running task ( failure ) :
attempt_1619882873092_4567_1_03_000000_3:java.lang.RuntimeException:
java.lang.RuntimeException: Hive Runtime Error while closing
operators[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:296)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:250)[2021-05-24
08:06:05.628] at
org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:374)[2021-05-24
08:06:05.628] at
org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:73)[2021-05-24
08:06:05.628] at
org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:61)[2021-05-24
08:06:05.628] at java.security.AccessController.doPrivileged(Native
Method)[2021-05-24 08:06:05.628] at
javax.security.auth.Subject.doAs(Subject.java:422)[2021-05-24 08:06:05.628] at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)[2021-05-24
08:06:05.628] at
org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:61)[2021-05-24
08:06:05.628] at
org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:37)[2021-05-24
08:06:05.628] at
org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)[2021-05-24
08:06:05.628] at
com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)[2021-05-24
08:06:05.628] at
com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:69)[2021-05-24
08:06:05.628] at
com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)[2021-05-24
08:06:05.628] at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)[2021-05-24
08:06:05.628] at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)[2021-05-24
08:06:05.628] at java.lang.Thread.run(Thread.java:748)[2021-05-24
08:06:05.628]Caused by: java.lang.RuntimeException: Hive Runtime Error while
closing operators[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.close(MapRecordProcessor.java:495)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:284)[2021-05-24
08:06:05.628] ... 16 more[2021-05-24 08:06:05.628]Caused by:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException: Error evaluating
null[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.MapJoinOperator.closeOp(MapJoinOperator.java:621)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinGenerateResultOperator.closeOp(VectorMapJoinGenerateResultOperator.java:681)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:732)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:756)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.close(MapRecordProcessor.java:484)[2021-05-24
08:06:05.628] ... 17 more[2021-05-24 08:06:05.628]Caused by:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException: Error evaluating
null[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinGenerateResultOperator.reProcessBigTable(VectorMapJoinGenerateResultOperator.java:609)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.MapJoinOperator.continueProcess(MapJoinOperator.java:681)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.MapJoinOperator.closeOp(MapJoinOperator.java:614)[2021-05-24
08:06:05.628] ... 21 more[2021-05-24 08:06:05.628]Caused by:
org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.hadoop.hive.ql.metadata.HiveException: Error evaluating
null[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerBigOnlyStringOperator.process(VectorMapJoinInnerBigOnlyStringOperator.java:391)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinGenerateResultOperator.reProcessBigTable(VectorMapJoinGenerateResultOperator.java:602)[2021-05-24
08:06:05.628] ... 23 more[2021-05-24 08:06:05.628]Caused by:
org.apache.hadoop.hive.ql.metadata.HiveException: Error evaluating
null[2021-05-24 08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.VectorSelectOperator.process(VectorSelectOperator.java:149)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.Operator.vectorForward(Operator.java:965)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:938)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinGenerateResultOperator.forwardBigTableBatch(VectorMapJoinGenerateResultOperator.java:640)[2021-05-24
08:06:05.628] at
org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerBigOnlyStringOperator.process(VectorMapJoinInnerBigOnlyStringOperator.java:385)[2021-05-24
08:06:05.629] ... 24 more[2021-05-24 08:06:05.629]Caused by:
java.lang.ClassCastException:
org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector cannot be cast to
org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector[2021-05-24
08:06:05.629] at
org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.setElement(BytesColumnVector.java:504)[2021-05-24
08:06:05.629] at
org.apache.hadoop.hive.ql.exec.vector.expressions.VectorCoalesce.evaluate(VectorCoalesce.java:124)[2021-05-24
08:06:05.629] at
org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression.evaluateChildren(VectorExpression.java:271)[2021-05-24
08:06:05.629] at
org.apache.hadoop.hive.ql.exec.vector.expressions.CastStringToDouble.evaluate(CastStringToDouble.java:83)[2021-05-24
08:06:05.629] at
org.apache.hadoop.hive.ql.exec.vector.VectorSelectOperator.process(VectorSelectOperator.java:146)[2021-05-24
08:06:05.632] ... 28 more{code}
The problem HiveQL:
{code:java}
nvl(get_json_object(attr_json,'$.correctedPrice'),0.88) corrected_price
{code}
The problem expression:
{code:java}
CastStringToDouble(col 39:string)(children: VectorCoalesce(columns [37,
38])(children: VectorUDFAdaptor(get_json_object(_col14, '$.correctedPrice')) ->
37:string, ConstantVectorExpression(val 0.88) -> 38:decimal(2,2)) -> 39:string)
-> 40:double
{code}
The problem code:
{code:java}
public class VectorCoalesce extends VectorExpression {
...
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException { if
(childExpressions != null) {
super.evaluateChildren(batch);
} int[] sel = batch.selected;
int n = batch.size;
ColumnVector outputColVector = batch.cols[outputColumnNum];
boolean[] outputIsNull = outputColVector.isNull;
if (n <= 0) {
// Nothing to do
return;
} if (unassignedBatchIndices == null || n >
unassignedBatchIndices.length) { // (Re)allocate larger to be a multiple
of 1024 (DEFAULT_SIZE).
final int roundUpSize =
((n + VectorizedRowBatch.DEFAULT_SIZE - 1) /
VectorizedRowBatch.DEFAULT_SIZE)
* VectorizedRowBatch.DEFAULT_SIZE;
unassignedBatchIndices = new int[roundUpSize];
} // We do not need to do a column reset since we are carefully changing
the output.
outputColVector.isRepeating = false; // CONSIDER: Should be do this for
all vector expressions that can
// work on BytesColumnVector output columns???
outputColVector.init();
final int columnCount = inputColumns.length; /*
* Process the input columns to find a non-NULL value for each row.
*
* We track the unassigned batchIndex of the rows that have not received
* a non-NULL value yet. Similar to a selected array.
*/
boolean isAllUnassigned = true;
int unassignedColumnCount = 0;
for (int k = 0; k < inputColumns.length; k++) {
ColumnVector cv = batch.cols[inputColumns[k]];
if (cv.isRepeating) { if (cv.noNulls || !cv.isNull[0]) {
/*
* With a repeating value we can finish all remaining rows.
*/
if (isAllUnassigned) { // No other columns provided
non-NULL values. We can return repeated output.
outputIsNull[0] = false;
outputColVector.setElement(0, 0, cv);
outputColVector.isRepeating = true;
return;
} else { // Some rows have already been assigned values.
Assign the remaining.
// We cannot use copySelected method here.
for (int i = 0; i < unassignedColumnCount; i++) {
final int batchIndex = unassignedBatchIndices[i];
outputIsNull[batchIndex] = false; // Our input is
repeating (i.e. inputColNumber = 0).
outputColVector.setElement(batchIndex, 0, cv);
}
return;
}
} else { // Repeated NULLs -- skip this input column.
}
} else { /*
* Non-repeating input column. Use any non-NULL values for unassigned
rows.
*/
if (isAllUnassigned) { /*
* No other columns provided non-NULL values. We *may* be able to
finish all rows
* with this input column...
*/
if (cv.noNulls){ // Since no NULLs, we can provide values
for all rows.
if (batch.selectedInUse) {
for (int i = 0; i < n; i++) {
final int batchIndex = sel[i];
outputIsNull[batchIndex] = false;
outputColVector.setElement(batchIndex, batchIndex, cv);
}
} else {
Arrays.fill(outputIsNull, 0, n, false);
for (int batchIndex = 0; batchIndex < n; batchIndex++) {
outputColVector.setElement(batchIndex, batchIndex, cv);
}
}
return;
} else { // We might not be able to assign all rows
because of input NULLs. Start tracking any
// unassigned rows.
boolean[] inputIsNull = cv.isNull;
if (batch.selectedInUse) {
for (int i = 0; i < n; i++) {
final int batchIndex = sel[i];
if (!inputIsNull[batchIndex]) {
outputIsNull[batchIndex] = false;
outputColVector.setElement(batchIndex, batchIndex, cv);
} else {
unassignedBatchIndices[unassignedColumnCount++] = batchIndex;
}
}
} else {
for (int batchIndex = 0; batchIndex < n; batchIndex++) {
if (!inputIsNull[batchIndex]) {
outputIsNull[batchIndex] = false;
outputColVector.setElement(batchIndex, batchIndex, cv);
} else {
unassignedBatchIndices[unassignedColumnCount++] = batchIndex;
}
}
}
if (unassignedColumnCount == 0) {
return;
}
isAllUnassigned = false;
}
} else { /*
* We previously assigned *some* rows with non-NULL values. The batch
indices of
* the unassigned row were tracked.
*/
if (cv.noNulls) { // Assign all remaining rows.
for (int i = 0; i < unassignedColumnCount; i++) {
final int batchIndex = unassignedBatchIndices[i];
outputIsNull[batchIndex] = false;
outputColVector.setElement(batchIndex, batchIndex, cv);
}
return;
} else { // Use any non-NULL values found; remember the
remaining unassigned.
boolean[] inputIsNull = cv.isNull;
int newUnassignedColumnCount = 0;
for (int i = 0; i < unassignedColumnCount; i++) {
final int batchIndex = unassignedBatchIndices[i];
if (!inputIsNull[batchIndex]) {
outputIsNull[batchIndex] = false;
outputColVector.setElement(batchIndex, batchIndex, cv);
} else {
unassignedBatchIndices[newUnassignedColumnCount++] = batchIndex;
}
}
if (newUnassignedColumnCount == 0) {
return;
}
unassignedColumnCount = newUnassignedColumnCount;
}
}
}
} // NULL out the remaining columns.
outputColVector.noNulls = false;
if (isAllUnassigned) {
outputIsNull[0] = true;
outputColVector.isRepeating = true;
} else {
for (int i = 0; i < unassignedColumnCount; i++) {
final int batchIndex = unassignedBatchIndices[i];
outputIsNull[batchIndex] = true;
}
}
}
...
}
{code}
The above code, outputColVector is BytesColumnVector type, but one of
the columnVector is DecimalColumnVector type.
At present, we can add single quotes in “0.88” to resolve this problem.For
example:
{code:java}
nvl(get_json_object(attr_json,'$.correctedPrice'), '0.88') corrected_price
{code}
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