共计 1499 个字符,预计需要花费 4 分钟才能阅读完成。
目前HIVE当中并没有相应的api用于自动生成相应的索引,在一般的sql中包含了identity函数可以用于自动生成相应的索引,为了解决这个问题,在apache官网上提供了相应的解决方法,这个功能还是比较实用的,比如博主需要处理的字段数据中一部分是全部数字,但是有些数据是字符和数字的组合,需要对这些数据做相同的函数处理有的时候是无法做到的,因此可以将其映射到一个额外的字段,到时处理的结果返回再次映射回到最初的数据。
/**
* 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.contrib.udf;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDF;
import org.apache.hadoop.hive.ql.udf.UDFType;
import org.apache.hadoop.io.LongWritable;
/**
* UDFRowSequence.
*/
@Description(name = "row_sequence",
value = "_FUNC_() - Returns a generated row sequence number starting from 1")
@UDFType(deterministic = false, stateful = true)
public class UDFRowSequence extends UDF
{
private LongWritable result = new LongWritable();
public UDFRowSequence() {
result.set(0);
}
public LongWritable evaluate() {
result.set(result.get() + 1);
return result;
}
}
// End UDFRowSequence.java
可以将其打包成jar包,然后再hive查询中导入作为UDF,这样就可以实现字段的自动索引
正文完
请博主喝杯咖啡吧!