Hive：python UDF 在关闭操作符时给出“Hive 运行时错误”

Posted 2023-04-13

【中文标题】Hive：python UDF 在关闭操作符时给出“Hive 运行时错误”

【英文标题】：Hive: python UDF gives “Hive Runtime Error while closing operators”

【发布时间】：2016-12-02 06:38:42

【问题描述】：

我需要转换一些日期格式并根据某些业务逻辑操作为布尔条件。

但是，我在从 Hive 调用 python 脚本时遇到了问题。以下是我为转换示例 1 列的日期格式而编写的脚本：

import sys

def getYearMonthFromStringDate(dt):
    year=0
    month=0
    try:
        ss=dt.split('-')
        year=ss[0]
        month=ss[1]
    except ValueError:
        print "Error parsing date string %s" %dt
    return int(year)*100+int(month)

for line in sys.stdin:
    tempArr=line.split('\t')
    accountgl0s=tempArr[0]
    agl0 = getYearMonthFromStringDate(accountgl0s)
    output_list = [accountgl0s, ag10]
    print '\t'.join(output_list)

我使用以下命令将文件添加到分布式缓存中：

add file /folder/date.py

现在，我使用 Transform 在我的 hive 表的 col accountgl0s 上调用这个 Python 函数，如下所示：

Input column accountgl0s = '2016-10-01'

select transform(accountgl0) using 'python date.py' as (accountgl0s,agl0) from sample;

我的预期输出应该是2016-10-01 201610。但我收到以下错误：

Error: java.lang.RuntimeException: Hive Runtime Error while closing operators
        at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:217)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:453)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1671)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: [Error 20003]: An error occurred when trying to close the Operator running your custom script.
        at org.apache.hadoop.hive.ql.exec.ScriptOperator.close(ScriptOperator.java:557)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:199)
        ... 8 more


FAILED: Execution Error, return code 20003 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. An error occurred when trying to close the Operator running your custom script.
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1   HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec

【问题讨论】：

在这些错误信息的上方，输出信息中有一个URL，如Starting Job = job_1480642810315_083110, Tracking URL = hadoop-test15.int.xxxxxx.com:8088/proxy/…，访问这个url可以找到python错误信息的相关信息。

为什么要编写自定义python脚本来拆分字符串？

【参考方案1】：

当您想计算数字时，您必须将变量类型更改为浮动：

f_accountgl0s = float(accountgl0s)