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spark-instrumented-optimizer/external/avro/benchmarks/AvroReadBenchmark-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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================================================================================================
SQL Single Numeric Column Scan
================================================================================================
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
SQL Single TINYINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 3049 3071 32 5.2 193.8 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
SQL Single SMALLINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 2982 2992 13 5.3 189.6 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
SQL Single INT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 2984 2989 7 5.3 189.7 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
SQL Single BIGINT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 3262 3353 128 4.8 207.4 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
SQL Single FLOAT Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 2716 2723 10 5.8 172.7 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
SQL Single DOUBLE Column Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum 2868 2870 3 5.5 182.4 1.0X
================================================================================================
Int and String Scan
================================================================================================
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
Int and String Scan: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of columns 4714 4739 35 2.2 449.6 1.0X
================================================================================================
Partitioned Table Scan
================================================================================================
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
Partitioned Table: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Data column 3257 3286 41 4.8 207.1 1.0X
Partition column 3258 3277 27 4.8 207.2 1.0X
Both columns 3399 3405 9 4.6 216.1 1.0X
================================================================================================
Repeated String Scan
================================================================================================
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
Repeated String: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of string length 3292 3316 33 3.2 314.0 1.0X
================================================================================================
String with Nulls Scan
================================================================================================
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
String with Nulls Scan (0.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of string length 5450 5456 9 1.9 519.7 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
String with Nulls Scan (50.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of string length 4410 4435 35 2.4 420.6 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
String with Nulls Scan (95.0%): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of string length 3074 3122 68 3.4 293.2 1.0X
================================================================================================
Single Column Scan From Wide Columns
================================================================================================
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
Single Column Scan from 100 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of single column 5120 5136 23 0.2 4882.7 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
Single Column Scan from 200 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of single column 9952 10002 71 0.1 9490.7 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
Single Column Scan from 300 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Sum of single column 14973 14978 7 0.1 14279.8 1.0X
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