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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/10/20 08:53:58 UTC
[jira] [Resolved] (SPARK-17796) spark HiveThriftServer2 sql
AnalysisException: LOAD DATA input path does not exist. if sql query is
existed wild card characters
[ https://issues.apache.org/jira/browse/SPARK-17796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-17796.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15376
[https://github.com/apache/spark/pull/15376]
> spark HiveThriftServer2 sql AnalysisException: LOAD DATA input path does not exist. if sql query is existed wild card characters
> --------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17796
> URL: https://issues.apache.org/jira/browse/SPARK-17796
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.0
> Environment: CentOS release 6.6 (Final)
> Reporter: Tran Quyet Thang
> Labels: Spark2-HiveThriftServer2, spark2.0.0, sparkSQL
> Fix For: 2.1.0
>
>
> 1. I'm using a ETL tool and connecting to Spark2-HiveThriftServer2 over connection string URL: "jdbc:hive2://10.30.164.132:10000/nat"
> 2. I'm facing with below error, if the sql have existed wild card characters "*" : LOAD DATA LOCAL INPATH '${SOURCE_DB_FILE}/V_SOURCE_BTS/${YYYYMMDD}/s0_V_SOURCE_BTS_\*_part_\*' INTO TABLE ${SCHEMA_BI}V_SOURCE_BTS;
> Couldn't execute SQL: LOAD DATA LOCAL INPATH '/u02/CDR/HAITI/MakeFile/V_SOURCE_BTS/20160927/s0_V_SOURCE_BTS_\*_part_\*' INTO TABLE nat.V_SOURCE_BTS
> 2016/10/05 14:38:43 - V_SOURCE_BTS -
> 2016/10/05 14:38:43 - V_SOURCE_BTS - org.apache.spark.sql.AnalysisException: LOAD DATA input path does not exist: /u02/CDR/HAITI/MakeFile/V_SOURCE_BTS/20160927/s0_V_SOURCE_BTS_\*_part_\*;
> 3. The sql query can execute without error if I changed the sql and remove wild cards to:
> LOAD DATA LOCAL INPATH '/u02/CDR/HAITI/MakeFile/V_SOURCE_BTS/20160927/s0_V_SOURCE_BTS_20160927_part_0000000' INTO TABLE ${SCHEMA_BI}V_SOURCE_BTS;
> 4. The problem's happened from Spark 2.0.0.
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