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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/02/24 03:37:50 UTC
[GitHub] [spark] LuciferYang edited a comment on pull request #35622: [SPARK-38300][SQL] Use `ByteStreams.toByteArray` to simplify `fileToString` and `resourceToBytes` in catalyst.util
LuciferYang edited a comment on pull request #35622:
URL: https://github.com/apache/spark/pull/35622#issuecomment-1049461442
```scala
def testToByteArray(fileSie: Int): Unit = {
val bytes = RandomUtils.nextBytes(fileSie)
val file0 = File.createTempFile(s"$fileSie-${UUID.randomUUID()}", ".dat")
val file1 = File.createTempFile(s"$fileSie-${UUID.randomUUID()}", ".dat")
file0.deleteOnExit()
file1.deleteOnExit()
FileUtils.writeByteArrayToFile(file0, bytes)
FileUtils.writeByteArrayToFile(file1, bytes)
val benchmark = new Benchmark(
s"ToByteArray with $fileSie ",
1,
output = output)
benchmark.addCase("toByteArray") { _: Int =>
toByteArray(file0)
}
benchmark.addCase("toByteArray Use Guava") { _: Int =>
toByteArrayUseGuava(file1)
}
benchmark.run()
}
private def toByteArrayUseGuava(file: File): Array[Byte] = {
val inStream = new FileInputStream(file)
try {
ByteStreams.toByteArray(inStream)
} finally {
inStream.close()
}
}
private def toByteArray(file: File): Array[Byte] = {
val inStream = new FileInputStream(file)
val outStream = new ByteArrayOutputStream
try {
var reading = true
while (reading) {
inStream.read() match {
case -1 => reading = false
case c => outStream.write(c)
}
}
outStream.flush()
} finally {
inStream.close()
}
outStream.toByteArray
}
override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
// test 1K, 1M, 10M, 100M
Seq(1024, 1024 * 1024, 1024 * 1024 * 10, 1024 * 1024 * 100).foreach { fileSize =>
testToByteArray(fileSize)
}
}
```
I write a micro bench as above to compare the old method and ` ByteStreams.toByteArray`
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