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authorLianhui Wang <lianhuiwang09@gmail.com>2016-07-12 18:52:15 +0200
committerHerman van Hovell <hvanhovell@databricks.com>2016-07-12 18:52:15 +0200
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[SPARK-15752][SQL] Optimize metadata only query that has an aggregate whose children are deterministic project or filter operators.
## What changes were proposed in this pull request? when query only use metadata (example: partition key), it can return results based on metadata without scanning files. Hive did it in HIVE-1003. ## How was this patch tested? add unit tests Author: Lianhui Wang <lianhuiwang09@gmail.com> Author: Wenchen Fan <wenchen@databricks.com> Author: Lianhui Wang <lianhuiwang@users.noreply.github.com> Closes #13494 from lianhuiwang/metadata-only.
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@@ -1376,6 +1376,18 @@ Configuration of Parquet can be done using the `setConf` method on `SparkSession
</p>
</td>
</tr>
+<tr>
+ <td><code>spark.sql.optimizer.metadataOnly</code></td>
+ <td>true</td>
+ <td>
+ <p>
+ When true, enable the metadata-only query optimization that use the table's metadata to
+ produce the partition columns instead of table scans. It applies when all the columns scanned
+ are partition columns and the query has an aggregate operator that satisfies distinct
+ semantics.
+ </p>
+ </td>
+</tr>
</table>
## JSON Datasets