ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

[SPARK-7084] improve saveAsTable documentation

Browse source 
Author: madhukar <phatak.dev@gmail.com>

Closes #5654 from phatak-dev/master and squashes the following commits:

386f407 [madhukar] #5654 updated for all the methods
2c997c5 [madhukar] Merge branch 'master' of https://github.com/apache/spark
00bc819 [madhukar] Merge branch 'master' of https://github.com/apache/spark
2a802c6 [madhukar] #5654 updated the doc according to comments
866e8df [madhukar] [SPARK-7084] improve saveAsTable documentation
This commit is contained in:
madhukar 2015-05-11 17:04:11 -07:00 committed by Reynold Xin
parent 4f4dbb030c
commit 57255dcd79
1 changed files with 18 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

18
sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
View file

@ -1192,6 +1192,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental
@ -1208,6 +1211,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental
@ -1232,6 +1238,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental
@ -1248,6 +1257,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental
@ -1264,6 +1276,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental
@ -1285,6 +1300,9 @@ class DataFrame private[sql](
* there is no notion of a persisted catalog in a standard SQL context. Instead you can write
* an RDD out to a parquet file, and then register that file as a table. This "table" can then
* be the target of an `insertInto`.
*
* Also note that while this function can persist the table metadata into Hive's metastore,
* the table will NOT be accessible from Hive.
* @group output
*/
@Experimental