[jira] [Commented] (SPARK-8004) Spark does not enclose column names when fetchting from jdbc sources

2015-06-07 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-8004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14576121#comment-14576121
 ] 

Apache Spark commented on SPARK-8004:
-

User 'rxin' has created a pull request for this issue:
https://github.com/apache/spark/pull/6689

 Spark does not enclose column names when fetchting from jdbc sources
 

 Key: SPARK-8004
 URL: https://issues.apache.org/jira/browse/SPARK-8004
 Project: Spark
  Issue Type: Bug
  Components: SQL
Reporter: Rene Treffer

 Spark failes to load tables that have a keyword as column names
 Sample error:
 {code}
 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
 stage 157.0 failed 1 times, most recent failure: Lost task 0.0 in stage 157.0 
 (TID 4322, localhost): 
 com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error 
 in your SQL syntax; check the manual that corresponds to your MySQL server 
 version for the right syntax to use near 'key,value FROM [XX]'
 {code}
 A correct query would have been
 {code}
 SELECT `key`.`value` FROM 
 {code}



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[jira] [Commented] (SPARK-8004) Spark does not enclose column names when fetchting from jdbc sources

2015-06-02 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-8004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14568666#comment-14568666
 ] 

Apache Spark commented on SPARK-8004:
-

User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/6577

 Spark does not enclose column names when fetchting from jdbc sources
 

 Key: SPARK-8004
 URL: https://issues.apache.org/jira/browse/SPARK-8004
 Project: Spark
  Issue Type: Bug
  Components: SQL
Reporter: Rene Treffer

 Spark failes to load tables that have a keyword as column names
 Sample error:
 {code}
 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
 stage 157.0 failed 1 times, most recent failure: Lost task 0.0 in stage 157.0 
 (TID 4322, localhost): 
 com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error 
 in your SQL syntax; check the manual that corresponds to your MySQL server 
 version for the right syntax to use near 'key,value FROM [XX]'
 {code}
 A correct query would have been
 {code}
 SELECT `key`.`value` FROM 
 {code}



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[jira] [Commented] (SPARK-8004) Spark does not enclose column names when fetchting from jdbc sources

2015-06-01 Thread Liang-Chi Hsieh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-8004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14567467#comment-14567467
 ] 

Liang-Chi Hsieh commented on SPARK-8004:


I think backticks are only working for MySQL?

 Spark does not enclose column names when fetchting from jdbc sources
 

 Key: SPARK-8004
 URL: https://issues.apache.org/jira/browse/SPARK-8004
 Project: Spark
  Issue Type: Bug
Reporter: Rene Treffer

 Spark failes to load tables that have a keyword as column names
 Sample error:
 {code}
 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
 stage 157.0 failed 1 times, most recent failure: Lost task 0.0 in stage 157.0 
 (TID 4322, localhost): 
 com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error 
 in your SQL syntax; check the manual that corresponds to your MySQL server 
 version for the right syntax to use near 'key,value FROM [XX]'
 {code}
 A correct query would have been
 {code}
 SELECT `key`.`value` FROM 
 {code}



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[jira] [Commented] (SPARK-8004) Spark does not enclose column names when fetchting from jdbc sources

2015-06-01 Thread Reynold Xin (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-8004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14567987#comment-14567987
 ] 

Reynold Xin commented on SPARK-8004:


Some other databases use double quotes, i.e. key. We'd need to set this in 
the dialect class.

[~viirya] do you want to continue your streak of JDBC data source fixes and 
submit a patch for this?  

 Spark does not enclose column names when fetchting from jdbc sources
 

 Key: SPARK-8004
 URL: https://issues.apache.org/jira/browse/SPARK-8004
 Project: Spark
  Issue Type: Bug
Reporter: Rene Treffer

 Spark failes to load tables that have a keyword as column names
 Sample error:
 {code}
 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
 stage 157.0 failed 1 times, most recent failure: Lost task 0.0 in stage 157.0 
 (TID 4322, localhost): 
 com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error 
 in your SQL syntax; check the manual that corresponds to your MySQL server 
 version for the right syntax to use near 'key,value FROM [XX]'
 {code}
 A correct query would have been
 {code}
 SELECT `key`.`value` FROM 
 {code}



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[jira] [Commented] (SPARK-8004) Spark does not enclose column names when fetchting from jdbc sources

2015-06-01 Thread Liang-Chi Hsieh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-8004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14568357#comment-14568357
 ] 

Liang-Chi Hsieh commented on SPARK-8004:


Yes. I will submit a patch later.

 Spark does not enclose column names when fetchting from jdbc sources
 

 Key: SPARK-8004
 URL: https://issues.apache.org/jira/browse/SPARK-8004
 Project: Spark
  Issue Type: Bug
  Components: SQL
Reporter: Rene Treffer

 Spark failes to load tables that have a keyword as column names
 Sample error:
 {code}
 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
 stage 157.0 failed 1 times, most recent failure: Lost task 0.0 in stage 157.0 
 (TID 4322, localhost): 
 com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error 
 in your SQL syntax; check the manual that corresponds to your MySQL server 
 version for the right syntax to use near 'key,value FROM [XX]'
 {code}
 A correct query would have been
 {code}
 SELECT `key`.`value` FROM 
 {code}



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