ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql/hive/benchmarks/OrcReadBenchmark-jdk11-results.txt
Maxim Gekk f5118f81e3 [SPARK-30409][SPARK-29173][SQL][TESTS] Use NoOp datasource in SQL benchmarks 
### What changes were proposed in this pull request?
In the PR, I propose to replace `.collect()`, `.count()` and `.foreach(_ => ())` in SQL benchmarks and use the `NoOp` datasource. I added an implicit class to `SqlBasedBenchmark` with the `.noop()` method. It can be used in benchmark like: `ds.noop()`. The last one is unfolded to `ds.write.format("noop").mode(Overwrite).save()`.

### Why are the changes needed?
To avoid additional overhead that `collect()` (and other actions) has. For example, `.collect()` has to convert values according to external types and pull data to the driver. This can hide actual performance regressions or improvements of benchmarked operations.

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
Re-run all modified benchmarks using Amazon EC2.

| Item | Description |
| ---- | ----|
| Region | us-west-2 (Oregon) |
| Instance | r3.xlarge (spot instance) |
| AMI | ami-06f2f779464715dc5 (ubuntu/images/hvm-ssd/ubuntu-bionic-18.04-amd64-server-20190722.1) |
| Java | OpenJDK8/10 |

- Run `TPCDSQueryBenchmark` using instructions from the PR #26049
```
# `spark-tpcds-datagen` needs this. (JDK8)
$ git clone https://github.com/apache/spark.git -b branch-2.4 --depth 1 spark-2.4
$ export SPARK_HOME=$PWD
$ ./build/mvn clean package -DskipTests

# Generate data. (JDK8)
$ git clone gitgithub.com:maropu/spark-tpcds-datagen.git
$ cd spark-tpcds-datagen/
$ build/mvn clean package
$ mkdir -p /data/tpcds
$ ./bin/dsdgen --output-location /data/tpcds/s1  // This need `Spark 2.4`
```
- Other benchmarks ran by the script:
```
#!/usr/bin/env python3

import os
from sparktestsupport.shellutils import run_cmd

benchmarks = [
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.AggregateBenchmark'],
    ['avro/test', 'org.apache.spark.sql.execution.benchmark.AvroReadBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.BloomFilterBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.DataSourceReadBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.DateTimeBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.ExtractBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.FilterPushdownBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.InExpressionBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.IntervalBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.JoinBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.MakeDateTimeBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.MiscBenchmark'],
    ['hive/test', 'org.apache.spark.sql.execution.benchmark.ObjectHashAggregateExecBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.OrcNestedSchemaPruningBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.OrcV2NestedSchemaPruningBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.ParquetNestedSchemaPruningBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.RangeBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.UDFBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.WideSchemaBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.benchmark.WideTableBenchmark'],
    ['hive/test', 'org.apache.spark.sql.hive.orc.OrcReadBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.datasources.csv.CSVBenchmark'],
    ['sql/test', 'org.apache.spark.sql.execution.datasources.json.JsonBenchmark']
]

print('Set SPARK_GENERATE_BENCHMARK_FILES=1')
os.environ['SPARK_GENERATE_BENCHMARK_FILES'] = '1'

for b in benchmarks:
    print("Run benchmark: %s" % b[1])
    run_cmd(['build/sbt', '%s:runMain %s' % (b[0], b[1])])
```

Closes #27078 from MaxGekk/noop-in-benchmarks.

Lead-authored-by: Maxim Gekk <max.gekk@gmail.com>
Co-authored-by: Maxim Gekk <maxim.gekk@databricks.com>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-12 13:18:19 -08:00

157 lines
13 KiB
Plaintext
Raw Blame History

================================================================================================
SQL Single Numeric Column Scan
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single TINYINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 1750 1872 173 9.0 111.2 1.0X
Native ORC Vectorized 433 499 68 36.3 27.5 4.0X
Hive built-in ORC 2540 2575 49 6.2 161.5 0.7X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single SMALLINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 1979 2001 31 7.9 125.8 1.0X
Native ORC Vectorized 261 303 42 60.3 16.6 7.6X
Hive built-in ORC 2559 2583 34 6.1 162.7 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single INT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 2094 2158 91 7.5 133.2 1.0X
Native ORC Vectorized 309 361 41 50.8 19.7 6.8X
Hive built-in ORC 2649 2744 135 5.9 168.4 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single BIGINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 2256 2271 22 7.0 143.4 1.0X
Native ORC Vectorized 511 518 11 30.8 32.5 4.4X
Hive built-in ORC 2867 2880 19 5.5 182.3 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single FLOAT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 2270 2325 78 6.9 144.3 1.0X
Native ORC Vectorized 502 508 5 31.3 31.9 4.5X
Hive built-in ORC 2862 2880 24 5.5 182.0 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
SQL Single DOUBLE Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 2376 2426 71 6.6 151.0 1.0X
Native ORC Vectorized 609 616 8 25.8 38.7 3.9X
Hive built-in ORC 2979 2991 17 5.3 189.4 0.8X
================================================================================================
Int and String Scan
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Int and String Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 4112 4232 170 2.6 392.1 1.0X
Native ORC Vectorized 2199 2223 35 4.8 209.7 1.9X
Hive built-in ORC 5150 5238 123 2.0 491.2 0.8X
================================================================================================
Partitioned Table Scan
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Partitioned Table: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Data column - Native ORC MR 2398 2435 53 6.6 152.4 1.0X
Data column - Native ORC Vectorized 458 482 26 34.3 29.1 5.2X
Data column - Hive built-in ORC 3126 3171 64 5.0 198.8 0.8X
Partition column - Native ORC MR 1639 1680 58 9.6 104.2 1.5X
Partition column - Native ORC Vectorized 105 119 11 149.6 6.7 22.8X
Partition column - Hive built-in ORC 2223 2229 8 7.1 141.4 1.1X
Both columns - Native ORC MR 2588 2608 28 6.1 164.5 0.9X
Both columns - Native ORC Vectorized 489 522 49 32.2 31.1 4.9X
Both columns - Hive built-in ORC 3258 3292 48 4.8 207.1 0.7X
================================================================================================
Repeated String Scan
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Repeated String: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 1991 2028 52 5.3 189.9 1.0X
Native ORC Vectorized 392 398 8 26.7 37.4 5.1X
Hive built-in ORC 2810 2816 8 3.7 268.0 0.7X
================================================================================================
String with Nulls Scan
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
String with Nulls Scan (0.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 3638 3647 13 2.9 346.9 1.0X
Native ORC Vectorized 1171 1181 14 9.0 111.7 3.1X
Hive built-in ORC 4847 4871 34 2.2 462.2 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
String with Nulls Scan (50.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 3280 3283 5 3.2 312.8 1.0X
Native ORC Vectorized 1199 1206 10 8.7 114.4 2.7X
Hive built-in ORC 4263 4273 14 2.5 406.5 0.8X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
String with Nulls Scan (95.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 1935 1950 21 5.4 184.6 1.0X
Native ORC Vectorized 451 459 10 23.2 43.1 4.3X
Hive built-in ORC 2542 2552 14 4.1 242.4 0.8X
================================================================================================
Single Column Scan From Wide Columns
================================================================================================
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Single Column Scan from 100 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 270 292 23 3.9 257.2 1.0X
Native ORC Vectorized 143 155 12 7.3 136.2 1.9X
Hive built-in ORC 1593 1627 48 0.7 1519.1 0.2X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Single Column Scan from 200 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 369 386 17 2.8 351.5 1.0X
Native ORC Vectorized 218 231 15 4.8 208.3 1.7X
Hive built-in ORC 3092 3101 12 0.3 2949.1 0.1X
OpenJDK 64-Bit Server VM 11.0.5+10-post-Ubuntu-0ubuntu1.118.04 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Single Column Scan from 300 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Native ORC MR 498 531 33 2.1 475.0 1.0X
Native ORC Vectorized 360 376 18 2.9 342.9 1.4X
Hive built-in ORC 4786 4786 1 0.2 4564.1 0.1X
Reference in a new issue View git blame Copy permalink