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spark-instrumented-optimizer/sql/core/benchmarks
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Maxim Gekk 6115a5e1a0 [SPARK-27327][SQL] New JSON benchmarks: functions, Dataset[String] 
## What changes were proposed in this pull request?

Added new benchmarks for:
1. JSON functions: `from_json`, `json_tuple` and `get_json_object`
2. Parsing `Dataset[String]` with JSON records
3. Comparing just splitting input text by lines with schema inferring, per-line parsing when encoding is set and not set.

Also existing benchmarks were refactored to use the `NoOp` datasource to eliminate overhead of triggers like `.filter((_: Row) => true).count()`.

## How was this patch tested?

By running `JSONBenchmark` locally.

Closes #24252 from MaxGekk/json-benchmark-func.

Authored-by: Maxim Gekk <max.gekk@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2019-04-01 08:33:16 +09:00
..
AggregateBenchmark-results.txt [SPARK-25476][SPARK-25510][TEST] Refactor AggregateBenchmark and add a new trait to better support Dataset and DataFrame API 2018-10-01 07:32:40 -07:00
BloomFilterBenchmark-results.txt [SPARK-25589][SQL][TEST] Add BloomFilterBenchmark 2018-10-03 04:14:07 -07:00
BuiltInDataSourceWriteBenchmark-results.txt [SPARK-25663][SPARK-25661][SQL][TEST] Refactor BuiltInDataSourceWriteBenchmark, DataSourceWriteBenchmark and AvroWriteBenchmark to use main method 2018-10-31 03:03:42 -07:00
ColumnarBatchBenchmark-results.txt [SPARK-25481][SQL][TEST] Refactor ColumnarBatchBenchmark to use main method 2018-09-26 20:40:10 -07:00
CompressionSchemeBenchmark-results.txt [SPARK-25478][SQL][TEST] Refactor CompressionSchemeBenchmark to use main method 2018-09-23 20:46:40 -07:00
CSVBenchmark-results.txt [SPARK-26378][SQL] Restore performance of queries against wide CSV/JSON tables 2019-01-30 15:15:29 +08:00
DatasetBenchmark-results.txt [SPARK-25479][TEST] Refactor DatasetBenchmark to use main method 2018-10-04 11:58:16 -07:00
DataSourceReadBenchmark-results.txt [SPARK-26584][SQL] Remove spark.sql.orc.copyBatchToSpark internal conf 2019-01-10 08:42:23 -08:00
DateTimeBenchmark-results.txt [SPARK-26903][SQL] Remove the TimeZone cache 2019-02-23 09:44:22 -06:00
ExternalAppendOnlyUnsafeRowArrayBenchmark-results.txt [SPARK-25484][SQL][TEST] Refactor ExternalAppendOnlyUnsafeRowArrayBenchmark 2019-01-09 09:54:21 -08:00
FilterPushdownBenchmark-results.txt [SPARK-25438][SQL][TEST] Fix FilterPushdownBenchmark to use the same memory assumption 2018-09-15 17:48:39 -07:00
HashedRelationMetricsBenchmark-results.txt [SPARK-26337][SQL][TEST] Add benchmark for LongToUnsafeRowMap 2018-12-14 10:50:48 +08:00
InExpressionBenchmark-results.txt [SPARK-26205][SQL] Optimize InSet Expression for bytes, shorts, ints, dates 2019-03-04 15:40:04 -08:00
JoinBenchmark-results.txt [SPARK-25664][SQL][TEST] Refactor JoinBenchmark to use main method 2018-10-12 16:08:12 -07:00
JSONBenchmark-results.txt [SPARK-27327][SQL] New JSON benchmarks: functions, Dataset[String] 2019-04-01 08:33:16 +09:00
MiscBenchmark-results.txt [SPARK-25488][SQL][TEST] Refactor MiscBenchmark to use main method 2018-10-06 08:47:43 -07:00
OrcNestedSchemaPruningBenchmark-results.txt [SPARK-26975][SQL] Support nested-column pruning over limit/sample/repartition 2019-03-19 20:24:22 -07:00
OrcV2NestedSchemaPruningBenchmark-results.txt [SPARK-26975][SQL] Support nested-column pruning over limit/sample/repartition 2019-03-19 20:24:22 -07:00
ParquetNestedSchemaPruningBenchmark-results.txt [SPARK-26975][SQL] Support nested-column pruning over limit/sample/repartition 2019-03-19 20:24:22 -07:00
PrimitiveArrayBenchmark-results.txt [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmark 2018-09-21 15:04:47 +09:00
RangeBenchmark-results.txt [SPARK-25710][SQL] range should report metrics correctly 2018-10-13 13:55:28 +08:00
SortBenchmark-results.txt [SPARK-25486][TEST] Refactor SortBenchmark to use main method 2018-09-25 11:13:05 -07:00
UnsafeArrayDataBenchmark-results.txt [SPARK-25483][TEST] Refactor UnsafeArrayDataBenchmark to use main method 2018-10-03 04:20:02 -07:00
WideSchemaBenchmark-results.txt [SPARK-25492][TEST] Refactor WideSchemaBenchmark to use main method 2018-10-20 17:31:13 -07:00
WideTableBenchmark-results.txt [SPARK-25676][SQL][FOLLOWUP] Use 'foreach(_ => ())' 2018-11-08 23:37:14 +08:00