yekebit opened a new issue, #10924:
URL: https://github.com/apache/hudi/issues/10924
As the title says, I want to know how to run the file named
“hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/execution/benchmark/LSMTimelineReadBenchmark.scala”
in spark to test LSMTimline.
Unfortunately, I don't know much about hudi testing yet.
The content of LSMTimelineReadBenchmark.scala is as follows:
```scala
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.execution.benchmark
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.Path
import org.apache.hudi.DummyActiveAction
import org.apache.hudi.client.common.HoodieJavaEngineContext
import org.apache.hudi.client.timeline.LSMTimelineWriter
import org.apache.hudi.common.model.{HoodieAvroPayload,
HoodieCommitMetadata, HoodieTableType, WriteOperationType}
import
org.apache.hudi.common.table.timeline.TimelineMetadataUtils.serializeCommitMetadata
import org.apache.hudi.common.table.timeline.{ActiveAction,
HoodieArchivedTimeline, HoodieInstant, LSMTimeline}
import org.apache.hudi.common.testutils.{HoodieTestTable, HoodieTestUtils}
import org.apache.hudi.config.{HoodieIndexConfig, HoodieWriteConfig}
import org.apache.hudi.index.HoodieIndex.IndexType
import org.apache.hudi.table.HoodieJavaTable
import org.apache.spark.hudi.benchmark.{HoodieBenchmark, HoodieBenchmarkBase}
import java.util
import scala.collection.JavaConverters._
object LSMTimelineReadBenchmark extends HoodieBenchmarkBase {
/**
* Java HotSpot(TM) 64-Bit Server VM 1.8.0_351-b10 on Mac OS X 13.4.1
* Apple M2
* pref load archived instants: Best Time(ms) Avg Time(ms)
Stdev(ms) Rate(M/s) Per Row(ns) Relative
*
------------------------------------------------------------------------------------------------------------------------
* read shim instants 18 32
15 0.1 17914.8 1.0X
* read instants with commit metadata 19 25
5 0.1 19403.1 0.9X
*/
private def readArchivedInstantsBenchmark(): Unit = {
withTempDir(f => {
val tableName = "testTable"
val tablePath = new Path(f.getCanonicalPath, tableName).toUri.toString
val metaClient = HoodieTestUtils.init(new Configuration(), tablePath,
HoodieTableType.COPY_ON_WRITE, tableName)
val writeConfig = HoodieWriteConfig.newBuilder().withPath(tablePath)
.withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(IndexType.INMEMORY).build())
.withMarkersType("DIRECT")
.build()
val engineContext = new HoodieJavaEngineContext(new Configuration())
val writer = LSMTimelineWriter.getInstance(writeConfig,
HoodieJavaTable.create(writeConfig,
engineContext).asInstanceOf[HoodieJavaTable[HoodieAvroPayload]])
val startTs = System.currentTimeMillis()
val startInstant = startTs + 1 + ""
val commitsNum = 10000000
val batchSize = 2000
val instantBuffer = new util.ArrayList[ActiveAction]()
for (i <- 1 to commitsNum) {
val instantTime = startTs + i + ""
val action = if (i % 2 == 0) "delta_commit" else "commit"
val instant = new HoodieInstant(HoodieInstant.State.COMPLETED,
action, instantTime, instantTime + 1000)
val metadata: HoodieCommitMetadata =
HoodieTestTable.of(metaClient).createCommitMetadata(instantTime,
WriteOperationType.INSERT, util.Arrays.asList("par1", "par2"), 10, false)
val serializedMetadata = serializeCommitMetadata(metadata).get()
instantBuffer.add(new DummyActiveAction(instant, serializedMetadata))
if (i % batchSize == 0) {
// archive 10 instants each time
writer.write(instantBuffer,
org.apache.hudi.common.util.Option.empty(),
org.apache.hudi.common.util.Option.empty())
writer.compactAndClean(engineContext)
instantBuffer.clear()
}
}
val benchmark = new HoodieBenchmark("pref load archived instants",
commitsNum, 3)
benchmark.addCase("read slim instants") { _ =>
new HoodieArchivedTimeline(metaClient)
}
benchmark.addCase("read instants with commit metadata") { _ =>
new HoodieArchivedTimeline(metaClient, startInstant)
}
benchmark.run()
val totalSize =
LSMTimeline.latestSnapshotManifest(metaClient).getFiles.asScala
.map(f => f.getFileLen)
.sum
println("Total file size in bytes: " + totalSize)
})
}
override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
readArchivedInstantsBenchmark()
}
}
```
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