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spark-instrumented-optimizer/sql/core/benchmarks/MiscBenchmark-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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================================================================================================
filter & aggregate without group
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
range/filter/sum: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
range/filter/sum wholestage off 46812 48110 1836 44.8 22.3 1.0X
range/filter/sum wholestage on 3116 3656 309 673.1 1.5 15.0X
================================================================================================
range/limit/sum
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
range/limit/sum: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
range/limit/sum wholestage off 200 219 27 2621.6 0.4 1.0X
range/limit/sum wholestage on 117 125 7 4477.8 0.2 1.7X
================================================================================================
sample
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
sample with replacement: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
sample with replacement wholestage off 12963 13506 768 10.1 98.9 1.0X
sample with replacement wholestage on 7397 7742 300 17.7 56.4 1.8X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
sample without replacement: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
sample without replacement wholestage off 2977 2977 0 44.0 22.7 1.0X
sample without replacement wholestage on 1087 1099 13 120.6 8.3 2.7X
================================================================================================
collect
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
collect: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
collect 1 million 281 315 34 3.7 268.2 1.0X
collect 2 millions 531 564 28 2.0 506.6 0.5X
collect 4 millions 1179 1970 1118 0.9 1124.5 0.2X
================================================================================================
collect limit
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
collect limit: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
collect limit 1 million 344 352 5 3.0 328.0 1.0X
collect limit 2 millions 656 660 6 1.6 625.2 0.5X
================================================================================================
generate explode
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate explode array: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate explode array wholestage off 14664 14780 164 1.1 874.0 1.0X
generate explode array wholestage on 14789 14886 87 1.1 881.5 1.0X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate explode map: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate explode map wholestage off 50441 51014 811 0.3 3006.5 1.0X
generate explode map wholestage on 49164 49915 892 0.3 2930.4 1.0X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate posexplode array: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate posexplode array wholestage off 17101 17130 40 1.0 1019.3 1.0X
generate posexplode array wholestage on 15625 15675 46 1.1 931.3 1.1X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate inline array: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate inline array wholestage off 13923 14720 1127 1.2 829.9 1.0X
generate inline array wholestage on 12246 12591 695 1.4 729.9 1.1X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate big struct array: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate big struct array wholestage off 442 456 20 0.1 7368.2 1.0X
generate big struct array wholestage on 409 429 22 0.1 6823.9 1.1X
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate big nested struct array: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate big nested struct array wholestage off 409 415 8 0.1 6822.4 1.0X
generate big nested struct array wholestage on 401 414 23 0.1 6687.0 1.0X
================================================================================================
generate regular generator
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_232-8u232-b09-0ubuntu1~18.04.1-b09 on Linux 4.15.0-1044-aws
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
generate stack: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
generate stack wholestage off 27043 27118 106 0.6 1611.9 1.0X
generate stack wholestage on 24002 24036 34 0.7 1430.6 1.1X
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