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| author | ymahajan <ymahajan@snappydata.io> | 2017-04-19 20:08:31 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2017-04-19 20:08:31 -0700 |
| commit | bdc60569196e9ae4e9086c3e514a406a9e8b23a6 (patch) | |
| tree | c1a494228477a98a5ee6c89e8c34c5424795c8c6 /docs/sql-programming-guide.md | |
| parent | dd6d55d5de970662eccf024e5eae4e6821373d35 (diff) | |
| download | spark-bdc60569196e9ae4e9086c3e514a406a9e8b23a6.tar.gz spark-bdc60569196e9ae4e9086c3e514a406a9e8b23a6.tar.bz2 spark-bdc60569196e9ae4e9086c3e514a406a9e8b23a6.zip | |
Fixed typos in docs
## What changes were proposed in this pull request?
Typos at a couple of place in the docs.
## How was this patch tested?
build including docs
Please review http://spark.apache.org/contributing.html before opening a pull request.
Author: ymahajan <ymahajan@snappydata.io>
Closes #17690 from ymahajan/master.
Diffstat (limited to 'docs/sql-programming-guide.md')
| -rw-r--r-- | docs/sql-programming-guide.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 28942b68fa..490c1ce8a7 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -571,7 +571,7 @@ be created by calling the `table` method on a `SparkSession` with the name of th For file-based data source, e.g. text, parquet, json, etc. you can specify a custom table path via the `path` option, e.g. `df.write.option("path", "/some/path").saveAsTable("t")`. When the table is dropped, the custom table path will not be removed and the table data is still there. If no custom table path is -specifed, Spark will write data to a default table path under the warehouse directory. When the table is +specified, Spark will write data to a default table path under the warehouse directory. When the table is dropped, the default table path will be removed too. Starting from Spark 2.1, persistent datasource tables have per-partition metadata stored in the Hive metastore. This brings several benefits: |