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author | madhukar <phatak.dev@gmail.com> | 2015-05-11 17:04:11 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2015-05-11 17:04:11 -0700 |
commit | 57255dcd794222f4db5df1e549ebc7b896cebfdc (patch) | |
tree | edede56e7c8f7a379f07e64a63ca64d4801eca0c /sql | |
parent | 4f4dbb030c208caba18f314a1ef1751696627d26 (diff) | |
download | spark-57255dcd794222f4db5df1e549ebc7b896cebfdc.tar.gz spark-57255dcd794222f4db5df1e549ebc7b896cebfdc.tar.bz2 spark-57255dcd794222f4db5df1e549ebc7b896cebfdc.zip |
[SPARK-7084] improve saveAsTable documentation
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
Diffstat (limited to 'sql')
-rw-r--r-- | sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala index c92ca607fb..729cfc1da2 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala @@ -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 |