hive常见问题（持续更新。。。）

最新推荐文章于 2025-06-05 09:53:49 发布

Mars_sock

最新推荐文章于 2025-06-05 09:53:49 发布

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分类专栏： hive

本文链接：https://blog.youkuaiyun.com/Mars_sock/article/details/80694586

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本文介绍了Hive在使用过程中常见的六种错误及其解决方法，包括动态分区数量限制、内存溢出、LZO压缩错误等问题，并提供了具体的配置调整建议。

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文章目录

1.在进行insert select操作的时候报如下错误
2.hive提交任务后报错
3. hive内存溢出
4. hive报lzo Premature EOF from inputStream错误
5.hive.exec.max.created.files：所有hive运行的map与reduce任务可以产生的文件的和
6.Split metadata size exceeded 10000000

1.在进行insert select操作的时候报如下错误

Caused by: org.apache.hadoop.hive.ql.metadata.HiveFatalException: [Error 20004]: Fatal error occurred when node tried to create too many dynamic partitions. The maximum number of dynamic partitions is controlled by hive.exec.max.dynamic.partitions and hive.exec.max.dynamic.partitions.pernode. Maximum was set to: 100
根据报错结果可以知道，动态分区数默认100，查询出来的结果已经超过了默认最大动态分区数，因此在跑程序的时候做如下设置：

##hive动态分区参数设置
##开启动态分区
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
##调大动态最大动态分区数
set hive.exec.max.dynamic.partitions.pernode=1000;
set hive.exec.max.dynamic.partitions=1000;

2.hive提交任务后报错

Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=1536, maxMemory=1024
这两个配置需要调整大一些：
yarn.scheduler.maximum-allocation-mb
yarn.nodemanager.resource.memory-mb
或者将虚拟机内存调大

3. hive内存溢出

2018-06-21 09:15:13     Starting to launch local task to process map join;      maximum memory = 3817865216
2018-06-21 09:15:29     Dump the side-table for tag: 0 with group count: 30673 into file: file:/tmp/data_m/753a5201-5454-431c-bcbb-d320d7cc0df6/hive_2018-06-21_09-03-15_808_550874019358135087-1/-local-10012/HashTable-Stage-11/MapJoin-mapfile20--.hashtable
2018-06-21 09:15:30     Uploaded 1 File to: file:/tmp/data_m/753a5201-5454-431c-bcbb-d320d7cc0df6/hive_2018-06-21_09-03-15_808_550874019358135087-1/-local-10012/HashTable-Stage-11/MapJoin-mapfile20--.hashtable (1769600 bytes)
2018-06-21 09:15:30     End of local task; Time Taken: 16.415 sec.
Execution completed successfully
MapredLocal task succeeded
Launching Job 4 out of 7
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1515910904620_2397048, Tracking URL = http://nma04-305-bigdata-030012222.ctc.local:8088/proxy/application_1515910904620_2397048/
Kill Command = /software/cloudera/parcels/CDH-5.8.3-1.cdh5.8.3.p0.2/lib/hadoop/bin/hadoop job  -kill job_1515910904620_2397048
Hadoop job information for Stage-11: number of mappers: 0; number of reducers: 0
2018-06-21 09:17:19,765 Stage-11 map = 0%,  reduce = 0%
Ended Job = job_1515910904620_2397048 with errors
Error during job, obtaining debugging information...
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

在上面的日志信息中看到：maximum memory = 3817865216
错误信息为：FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
导致错误的原因是由于join的时候其中一个表的数据量太大，导致OOM，错了导致MR被杀死，故日志中提示maximum memory = 3817865216，修改Hive SQL,限定数据范围，降低数据量后虽然也提示maximum memory = 3817865216，但是MR能正常执行了。

4. hive报lzo Premature EOF from inputStream错误

insert overwrite table data_m.tmp_lxm20180624_baas_batl_dpiqixin_other_https_4g_ext
partition(prov_id,day_id,net_type)
select msisdn,sai,protocolid,starttime,prov_id,day_id,net_type
from dpiqixinbstl.qixin_dpi_info_4g
where day_id='20180624' and prov_id='811';

报错信息

Error: java.io.IOException: java.lang.reflect.InvocationTargetException  
    at org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderCreationException(HiveIOExceptionHandlerChain.java:97)  
    at org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderCreationException(HiveIOExceptionHandlerUtil.java:57)  
    at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:302)  
    at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.<init>(HadoopShimsSecure.java:249)  
    at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileInputFormatShim.getRecordReader(HadoopShimsSecure.java:363)  
    at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:591)  
    at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.<init>(MapTask.java:168)  
    at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:409)  
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)  
    at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)  
    at java.security.AccessController.doPrivileged(Native Method)  
    at javax.security.auth.Subject.doAs(Subject.java:396)  
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1550)  
    at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)  
Caused by: java.lang.reflect.InvocationTargetException  
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)  
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39)  
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27)  
    at java.lang.reflect.Constructor.newInstance(Constructor.java:513)  
    at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:288)  
    ... 11 more  
Caused by: java.io.EOFException: Premature EOF from inputStream  
    at com.hadoop.compression.lzo.LzopInputStream.readFully(LzopInputStream.java:75)  
    at com.hadoop.compression.lzo.LzopInputStream.readHeader(LzopInputStream.java:114)  
    at com.hadoop.compression.lzo.LzopInputStream.<init>(LzopInputStream.java:54)  
    at com.hadoop.compression.lzo.LzopCodec.createInputStream(LzopCodec.java:83)  
    at org.apache.hadoop.hive.ql.io.RCFile$ValueBuffer.<init>(RCFile.java:667)  
    at org.apache.hadoop.hive.ql.io.RCFile$Reader.<init>(RCFile.java:1431)  
    at org.apache.hadoop.hive.ql.io.RCFile$Reader.<init>(RCFile.java:1342)  
    at org.apache.hadoop.hive.ql.io.rcfile.merge.RCFileBlockMergeRecordReader.<init>(RCFileBlockMergeRecordReader.java:46)  
    at org.apache.hadoop.hive.ql.io.rcfile.merge.RCFileBlockMergeInputFormat.getRecordReader(RCFileBlockMergeInputFormat.java:38)  
    at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.<init>(CombineHiveRecordReader.java:65)  
    ... 16 more

日志显示，在使用LZO进行压缩时出现Premature EOF from inputStream错误，该错误出现在stage-3

问题查找
根据lzo Premature EOF from inputStream错误信息google了一把，果然有人遇到过类似的问题，链接：
http://www.cnblogs.com/aprilrain/archive/2013/03/06/2946326.html
问题原因：
如果输出格式是TextOutputFormat，要用LzopCodec，相应的读取这个输出的格式是LzoTextInputFormat。
如果输出格式用SequenceFileOutputFormat，要用LzoCodec，相应的读取这个输出的格式是SequenceFileInputFormat。
如果输出使用SequenceFile配上LzopCodec的话，那就等着用SequenceFileInputFormat读取这个输出时收到“java.io.EOFException: Premature EOF from inputStream”吧。
解决方法：
查看mapreduce.output.fileoutputformat.compress.codec配置信息

set mapreduce.output.fileoutputformat.compress.codec;
##配置参数如下：
mapreduce.output.fileoutputformat.compress.codec=com.hadoop.compression.lzo.LzoCodec

##将其修改为：
mapreduce.output.fileoutputformat.compress.codec=org.apache.hadoop.io.compress.DefaultCodec;
从新运行hql问题解决

##其他原因：
最近又碰到同样的报错信息，用上面的方法发现并不是这个问题，一番排查后结论为：
数据目录下的文件存在size为0的文件，也就是坏文件，解决办法是删除该文件

5.hive.exec.max.created.files：所有hive运行的map与reduce任务可以产生的文件的和

在文件过多的情况下，进行hive查询，会出现文件数超出预设值，hive.exec.max.created.files参数默认值是100000，当超过默认值时加大参即可

6.Split metadata size exceeded 10000000

输入文件包括大量小文件或者文件目录，造成Splitmetainfo文件超过默认上限
修改默认作业参数mapreduce.jobtracker.split.metainfo.maxsize =100000000（默认值是1000000）