spark-instrumented-optimizer/sql/hive/benchmarks/InsertIntoHiveTableBenchmark-hive1.2-results.txt
Kent Yao 1f29f1ba58 [SPARK-31684][SQL] Overwrite partition failed with 'WRONG FS' when the target partition is not belong to the filesystem as same as the table
### What changes were proposed in this pull request?

With SPARK-18107, we will disable the underlying replace(overwrite) and instead do delete in spark side and only do copy in hive side to bypass the performance issue - [HIVE-11940](https://issues.apache.org/jira/browse/HIVE-11940)

Conditionally, if the table location and partition location do not belong to the same `FileSystem`, We should not disable hive overwrite. Otherwise, hive will use the `FileSystem` instance belong to the table location to copy files, which will fail in `FileSystem#checkPath`
https://github.com/apache/hive/blob/rel/release-2.3.7/ql/src/java/org/apache/hadoop/hive/ql/metadata/Hive.java#L1657

In this PR, for Hive 2.0.0 and onwards, as [HIVE-11940](https://issues.apache.org/jira/browse/HIVE-11940) has been fixed, and there is no performance issue anymore. We should leave the overwrite logic to hive to avoid failure in `FileSystem#checkPath`

**NOTE THAT**  For Hive 2.2.0 and earlier, if the table and partition locations do not belong together, we will still get the same error thrown by hive encryption check due to  [HIVE-14380]( https://issues.apache.org/jira/browse/HIVE-14380) which need to fix in another ticket SPARK-31675.

### Why are the changes needed?

bugfix. a logic table can be decoupled with the storage layer and may contain data from remote storage systems.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

Currently verified manually. add benchmark tests

```sql
-INSERT INTO DYNAMIC                                7742           7918         248          0.0      756044.0       1.0X
-INSERT INTO HYBRID                                 1289           1307          26          0.0      125866.3       6.0X
-INSERT INTO STATIC                                  371            393          38          0.0       36219.4      20.9X
-INSERT OVERWRITE DYNAMIC                           8456           8554         138          0.0      825790.3       0.9X
-INSERT OVERWRITE HYBRID                            1303           1311          12          0.0      127198.4       5.9X
-INSERT OVERWRITE STATIC                             434            447          13          0.0       42373.8      17.8X
+INSERT INTO DYNAMIC                                7382           7456         105          0.0      720904.8       1.0X
+INSERT INTO HYBRID                                 1128           1129           1          0.0      110169.4       6.5X
+INSERT INTO STATIC                                  349            370          39          0.0       34095.4      21.1X
+INSERT OVERWRITE DYNAMIC                           8149           8362         301          0.0      795821.8       0.9X
+INSERT OVERWRITE HYBRID                            1317           1318           2          0.0      128616.7       5.6X
+INSERT OVERWRITE STATIC                             387            408          37          0.0       37804.1      19.1X
```

+ for master
- for this PR

both using hive 2.3.7

Closes #28511 from yaooqinn/SPARK-31684.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-05-19 14:08:51 +00:00

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Java HotSpot(TM) 64-Bit Server VM 1.8.0_251-b08 on Mac OS X 10.15.4
Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz
insert hive table benchmark: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
INSERT INTO DYNAMIC 6812 7043 328 0.0 665204.8 1.0X
INSERT INTO HYBRID 817 852 32 0.0 79783.6 8.3X
INSERT INTO STATIC 231 246 21 0.0 22568.2 29.5X
INSERT OVERWRITE DYNAMIC 25947 26671 1024 0.0 2533910.2 0.3X
INSERT OVERWRITE HYBRID 2846 2884 54 0.0 277908.7 2.4X
INSERT OVERWRITE STATIC 232 247 26 0.0 22659.9 29.4X