One quick way to solve this is setting textinputformat.record.delimiter=”US”
before reading from that text table.
But it has some limitations:
1,you cannot read multiple text tables with different line delimiters in the
same query.
2,you cannot write to that text table with your own line delim
You can set hive.hadoop.supports.splittable.combineinputformat=true to combine
your files.
In fact ,this parameter should be set to true by default since MAPREDUCE-1597
was fixed is hadoop 0.22.0 long ago.
From: Harshit Sharan [mailto:hsincredi...@gmail.com]
Sent: Saturday, April 02, 2016 4:06 P
Not sure if there's anything special in external tables.
May be you can try Cost Based Optimizer in Hive 0.14 and above.
analyze table your_table compute statistics;
analyze table your_table compute statistics for columns col_1, col_2,...; or
analyze table your_table compute statistics for columns
The following SQL will run very slow due to skew values in skew_col column:
select row_number() over (partition by skew_col) from some_table;
Is there any way to optimize it?
Thanks
The using statement support multiple resources,so you can create function with
“using jar HDFS://path/to/A.jar, jar HDFS://path/to/B.jar,…”
发件人: Buntu Dev [mailto:buntu...@gmail.com]
发送时间: 2015年4月24日 15:18
收件人: user@hive.apache.org
主题: Re: Create function using custom UDF
Thanks Loudongfeng for
Referring to
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-Create/DropFunction
You don’t need to add jar every time when using Permanent Functions. Make sure
to create your function following this
CREATE FUNCTION [db_name.]function_name AS class_name
[USI
Correction:
The HiveServer2 using SQL Standards authorization with enable.doAs setting to
true.
发件人: Loudongfeng [mailto:loudongf...@huawei.com]
发送时间: 2014年11月25日 20:14
收件人: user@hive.apache.org
抄送: Zhenghui; Zhaojun (Terry); Dengjinbo (FusionInsight . IT)
主题: Problem with Hive Authorization
Hello,list
The background:
Hive 0.13.1 with security enabled.
The HiveServer2 using SQL Standards authorization with doAs setting to false.
Remote Meta Store using storage based authorization.
Impala has access to Hive Meta Store.
The problem :
MetaStore API such as grant_role, revoke_role, grant
