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spark-instrumented-optimizer/sql/core/benchmarks/OrcNestedSchemaPruningBenchmark-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

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================================================================================================
Nested Schema Pruning Benchmark For ORC v1
================================================================================================
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
Selection: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 155 197 23 6.5 155.0 1.0X
Nested column 1290 1338 43 0.8 1289.9 0.1X
Nested column in array 5914 5989 57 0.2 5914.1 0.0X
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
Limiting: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 463 537 53 2.2 463.2 1.0X
Nested column 1807 1874 62 0.6 1807.3 0.3X
Nested column in array 6729 6906 116 0.1 6729.4 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
Repartitioning: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 378 402 18 2.6 377.7 1.0X
Nested column 1765 1794 46 0.6 1765.4 0.2X
Nested column in array 6675 6718 42 0.1 6674.6 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
Repartitioning by exprs: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 384 399 8 2.6 383.7 1.0X
Nested column 4724 4820 72 0.2 4724.3 0.1X
Nested column in array 9256 9405 133 0.1 9255.7 0.0X
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
Sample: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 121 137 13 8.3 120.7 1.0X
Nested column 1303 1361 45 0.8 1303.2 0.1X
Nested column in array 5901 5978 49 0.2 5901.0 0.0X
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
Sorting: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Top-level column 651 675 30 1.5 650.8 1.0X
Nested column 5398 5527 179 0.2 5397.9 0.1X
Nested column in array 10413 10685 310 0.1 10413.1 0.1X
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