[
https://issues.apache.org/jira/browse/HIVE-24278?focusedWorklogId=536034&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-536034
]
ASF GitHub Bot logged work on HIVE-24278:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Jan/21 15:02
Start Date: 14/Jan/21 15:02
Worklog Time Spent: 10m
Work Description: kgyrtkirk commented on a change in pull request #1817:
URL: https://github.com/apache/hive/pull/1817#discussion_r557459883
##########
File path:
ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFExceptionInVertex.java
##########
@@ -0,0 +1,156 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.hadoop.hive.ql.udf.generic;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+import org.apache.hadoop.hive.ql.exec.Description;
+import org.apache.hadoop.hive.ql.exec.MapredContext;
+import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
+import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException;
+import org.apache.hadoop.hive.ql.exec.tez.TezProcessor;
+import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
+import
org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableConstantIntObjectInspector;
+import
org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableConstantStringObjectInspector;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * This class implements the UDF which can throw an exception in arbitrary
vertex (typically mapper)
+ * / task / task attempt. For throwing exception in reducer side, where most
probably
+ * GroupByOperator codepath applies, GenericUDAFExceptionInVertex is used.
+ */
+@Description(name = "exception_in_vertex_udf", value = "_FUNC_(vertexName,
taskNumberExpression, taskAttemptNumberExpression)")
+public class GenericUDFExceptionInVertex extends GenericUDF {
+ private static final Logger LOG =
LoggerFactory.getLogger(GenericUDFExceptionInVertex.class);
+
+ private String vertexName;
+ private String taskNumberExpr;
+ private String taskAttemptNumberExpr;
+ private String currentVertexName;
+ private int currentTaskNumber;
+ private int currentTaskAttemptNumber;
+ private boolean alreadyCheckedAndPassed;
+
+ @Override
+ public ObjectInspector initialize(ObjectInspector[] parameters) throws
UDFArgumentException {
+ if (parameters.length < 2) {
+ throw new UDFArgumentTypeException(-1,
+ "At least two argument is expected (fake column ref, vertex name)");
+ }
+
+ this.vertexName = getVertexName(parameters, 1);
+ this.taskNumberExpr = getTaskNumber(parameters, 2);
+ this.taskAttemptNumberExpr = getTaskAttemptNumber(parameters, 3);
Review comment:
I was thinking to add some notes about it to the `@Description` - I
would look there first in an UDF
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Issue Time Tracking
-------------------
Worklog Id: (was: 536034)
Time Spent: 40m (was: 0.5h)
> Implement an UDF for throwing exception in arbitrary vertex
> -----------------------------------------------------------
>
> Key: HIVE-24278
> URL: https://issues.apache.org/jira/browse/HIVE-24278
> Project: Hive
> Issue Type: Improvement
> Reporter: László Bodor
> Assignee: László Bodor
> Priority: Major
> Labels: pull-request-available
> Time Spent: 40m
> Remaining Estimate: 0h
>
> For testing purposes sometimes we need to make the query fail in a vertex, so
> assuming that we already know the plan, it could be something like:
> on mapper side
> {code}
> select a.col1, exception_in_vertex("Map 1") from a
> join b on b.id = a.id
> {code}
> or on reducer side
> {code}
> select a.col1, exception_in_vertex("Reducer 2") from a
> join b on b.id = a.id
> {code}
> more advanced configuration is possible, e.g we want to make Reducer 2's 50th
> task's first (0th) attempt fail with an exception:
> {code}
> exception_in_vertex("Reducer 2", 50, 0)
> {code}
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