spark-reviews mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From srowen <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-10831][SQL][DOC]Add more configuration ...
Date Fri, 25 Sep 2015 08:40:06 GMT
Github user srowen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8917#discussion_r40409805
  
    --- Diff: docs/sql-programming-guide.md ---
    @@ -1320,6 +1320,39 @@ Configuration of Parquet can be done using the `setConf` method
on `SQLContext`
     <table class="table">
     <tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
     <tr>
    +  <td><code>spark.sql.planner.sortMergeJoin</code></td>
    +  <td>true</td>
    +  <td>
    +    When true, use sort merge join (as opposed to hash join) by default for large joins.
    +  </td>
    +</tr>
    +<tr>
    +  <td><code>spark.sql.codegen</code></td>
    +  <td>true</td>
    +  <td>
    +    When true, code will be dynamically generated at runtime for expression evaluation
in a specific query.
    +  </td>
    +</tr>
    +<tr>
    +  <td><code>spark.sql.caseSensitive</code></td>
    +  <td>false or true</td>
    +  <td>
    +    Whether the query analyzer should be case sensitive or not.
    +	For HiveContext, the default value is false;
    +	For SQLContext, the default value is true;
    +  </td>
    +</tr>
    +<tr>
    +  <td><code>spark.sql.dialect</code></td>
    +  <td>sql or hive</td>
    --- End diff --
    
    Quote or `<code>` these values to make it clear?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


Mime
View raw message