[jira] [Updated] (SPARK-37873) SQL Syntax links are broken

2022-01-13 Thread Alex Ott (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-37873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Alex Ott updated SPARK-37873:
-
Attachment: Screenshot 2022-01-14 at 08.07.24.png

> SQL Syntax links are broken
> ---
>
> Key: SPARK-37873
> URL: https://issues.apache.org/jira/browse/SPARK-37873
> Project: Spark
>  Issue Type: Bug
>  Components: Documentation
>Affects Versions: 3.2.0
>Reporter: Alex Ott
>Priority: Major
> Attachments: Screenshot 2022-01-14 at 08.07.24.png
>
>
> SQL Syntax links at [https://spark.apache.org/docs/latest/sql-ref.html] are 
> broken



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[jira] [Commented] (SPARK-37873) SQL Syntax links are broken

2022-01-13 Thread Alex Ott (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-37873?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17475993#comment-17475993
 ] 

Alex Ott commented on SPARK-37873:
--

If you click on any:
 * [DDL Statements|https://spark.apache.org/docs/latest/sql-ref-syntax-ddl.html]
 * [DML Statements|https://spark.apache.org/docs/latest/sql-ref-syntax-dml.html]
 * [Data Retrieval 
Statements|https://spark.apache.org/docs/latest/sql-ref-syntax-qry.html]
 * [Auxiliary 
Statements|https://spark.apache.org/docs/latest/sql-ref-syntax-aux.html]

it will show file not found (see image)

!Screenshot 2022-01-14 at 08.07.24.png!

> SQL Syntax links are broken
> ---
>
> Key: SPARK-37873
> URL: https://issues.apache.org/jira/browse/SPARK-37873
> Project: Spark
>  Issue Type: Bug
>  Components: Documentation
>Affects Versions: 3.2.0
>Reporter: Alex Ott
>Priority: Major
> Attachments: Screenshot 2022-01-14 at 08.07.24.png
>
>
> SQL Syntax links at [https://spark.apache.org/docs/latest/sql-ref.html] are 
> broken



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[jira] [Created] (SPARK-37874) Link to Pandas UDF documentation is broken

2022-01-11 Thread Alex Ott (Jira)
Alex Ott created SPARK-37874:


 Summary: Link to Pandas UDF documentation is broken
 Key: SPARK-37874
 URL: https://issues.apache.org/jira/browse/SPARK-37874
 Project: Spark
  Issue Type: Bug
  Components: Documentation
Affects Versions: 3.2.0
Reporter: Alex Ott


Link at 
[https://spark.apache.org/docs/latest/api/python/user_guide/arrow_pandas.html] 
is broken



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[jira] [Created] (SPARK-37873) SQL Syntax links are broken

2022-01-11 Thread Alex Ott (Jira)
Alex Ott created SPARK-37873:


 Summary: SQL Syntax links are broken
 Key: SPARK-37873
 URL: https://issues.apache.org/jira/browse/SPARK-37873
 Project: Spark
  Issue Type: Bug
  Components: Documentation
Affects Versions: 3.2.0
Reporter: Alex Ott


SQL Syntax links at [https://spark.apache.org/docs/latest/sql-ref.html] are 
broken



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[jira] [Comment Edited] (SPARK-20964) Make some keywords reserved along with the ANSI/SQL standard

2018-03-20 Thread Alex Ott (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-20964?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16405962#comment-16405962
 ] 

Alex Ott edited comment on SPARK-20964 at 3/20/18 8:36 AM:
---

Just want to add another example of query that is rejected by sqlite, but works 
fine with Spark SQL:

{{SELECT state, count( * ) FROM user_addresses *where* group by state;}}

In this case the *where* keyword is treated as table alias - although it 
matches to SQL specification, it really just hides the error that I did in this 
query by forgetting to add condition expression


was (Author: alexott):
Just want to add another example of query that is rejected by sqlite, but works 
fine with Spark SQL:

{{SELECT state, count(*) FROM user_addresses *where* group by state;}}

In this case the *where* keyword is treated as table alias - although it 
matches to SQL specification, it really just hides the error that I did in this 
query by forgetting to add condition expression

> Make some keywords reserved along with the ANSI/SQL standard
> 
>
> Key: SPARK-20964
> URL: https://issues.apache.org/jira/browse/SPARK-20964
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.1.1
>Reporter: Takeshi Yamamuro
>Priority: Minor
>
> The current Spark has many non-reserved words that are essentially reserved 
> in the ANSI/SQL standard 
> (http://developer.mimer.se/validator/sql-reserved-words.tml). 
> https://github.com/apache/spark/blob/master/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4#L709
> This is because there are many datasources (for instance twitter4j) that 
> unfortunately use reserved keywords for column names (See [~hvanhovell]'s 
> comments: https://github.com/apache/spark/pull/18079#discussion_r118842186). 
> We might fix this issue in future major releases.



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[jira] [Comment Edited] (SPARK-20964) Make some keywords reserved along with the ANSI/SQL standard

2018-03-20 Thread Alex Ott (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-20964?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16405962#comment-16405962
 ] 

Alex Ott edited comment on SPARK-20964 at 3/20/18 8:35 AM:
---

Just want to add another example of query that is rejected by sqlite, but works 
fine with Spark SQL:

{{SELECT state, count(*) FROM user_addresses *where* group by state;}}

In this case the *where* keyword is treated as table alias - although it 
matches to SQL specification, it really just hides the error that I did in this 
query by forgetting to add condition expression


was (Author: alexott):
Just want to add another example of query that is rejected by sqlite, but works 
fine with Spark SQL:

    SELECT state, count(*) FROM user_addresses *where* group by state;

In this case the *where* keyword is treated as table alias - although it 
matches to SQL specification, it really just hides the error that I did in this 
query by forgetting to add condition expression

> Make some keywords reserved along with the ANSI/SQL standard
> 
>
> Key: SPARK-20964
> URL: https://issues.apache.org/jira/browse/SPARK-20964
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.1.1
>Reporter: Takeshi Yamamuro
>Priority: Minor
>
> The current Spark has many non-reserved words that are essentially reserved 
> in the ANSI/SQL standard 
> (http://developer.mimer.se/validator/sql-reserved-words.tml). 
> https://github.com/apache/spark/blob/master/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4#L709
> This is because there are many datasources (for instance twitter4j) that 
> unfortunately use reserved keywords for column names (See [~hvanhovell]'s 
> comments: https://github.com/apache/spark/pull/18079#discussion_r118842186). 
> We might fix this issue in future major releases.



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[jira] [Commented] (SPARK-20964) Make some keywords reserved along with the ANSI/SQL standard

2018-03-20 Thread Alex Ott (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-20964?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16405962#comment-16405962
 ] 

Alex Ott commented on SPARK-20964:
--

Just want to add another example of query that is rejected by sqlite, but works 
fine with Spark SQL:

    SELECT state, count(*) FROM user_addresses *where* group by state;

In this case the *where* keyword is treated as table alias - although it 
matches to SQL specification, it really just hides the error that I did in this 
query by forgetting to add condition expression

> Make some keywords reserved along with the ANSI/SQL standard
> 
>
> Key: SPARK-20964
> URL: https://issues.apache.org/jira/browse/SPARK-20964
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.1.1
>Reporter: Takeshi Yamamuro
>Priority: Minor
>
> The current Spark has many non-reserved words that are essentially reserved 
> in the ANSI/SQL standard 
> (http://developer.mimer.se/validator/sql-reserved-words.tml). 
> https://github.com/apache/spark/blob/master/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4#L709
> This is because there are many datasources (for instance twitter4j) that 
> unfortunately use reserved keywords for column names (See [~hvanhovell]'s 
> comments: https://github.com/apache/spark/pull/18079#discussion_r118842186). 
> We might fix this issue in future major releases.



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