/**
* 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.exec.errors;
import java.util.List;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
* Detects the condition where there is a error with one of the input files in
* the query.
*
* Conditions to check:
* 1. EOFException in log
* 2. A line indicating the split file in the log. This is needed to
* generate the proper error message.
*
*/
public class DataCorruptErrorHeuristic extends RegexErrorHeuristic {
private static final String SPLIT_REGEX = "split:\\s*([^\\s]+)";
private static final String EXCEPTION_REGEX = "EOFException";
public DataCorruptErrorHeuristic() {
setQueryRegex(".*");
getLogRegexes().add(SPLIT_REGEX);
getLogRegexes().add(EXCEPTION_REGEX);
}
@Override
public ErrorAndSolution getErrorAndSolution() {
ErrorAndSolution es = null;
if(getQueryMatches()) {
Map<String, List<String>> rll = getRegexToLogLines();
if (rll.get(EXCEPTION_REGEX).size() > 0 &&
rll.get(SPLIT_REGEX).size() > 0) {
// There should only be a single split line...
String splitLogLine = rll.get(SPLIT_REGEX).get(0);
// Extract only 'split: hdfs://...'
Pattern p = Pattern.compile(SPLIT_REGEX, Pattern.CASE_INSENSITIVE);
Matcher m = p.matcher(splitLogLine);
m.find();
String splitStr = m.group(1);
es = new ErrorAndSolution(
"Data file " + splitStr + " is corrupted.",
"Replace file. i.e. by re-running the query that produced the " +
"source table / partition.");
}
}
reset();
return es;
}
}