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The following commit(s) were added to refs/heads/master by this push:
new e54c866701d [SPARK-45309][SQL] Remove all
SystemUtils.isJavaVersionAtLeast with JDK 9/11/17
e54c866701d is described below
commit e54c866701dda617f625545192f321e88b3e614e
Author: Hyukjin Kwon <gurwls...@apache.org>
AuthorDate: Tue Sep 26 19:59:04 2023 +0900
[SPARK-45309][SQL] Remove all SystemUtils.isJavaVersionAtLeast with JDK
9/11/17
### What changes were proposed in this pull request?
This PR removes all SystemUtils.isJavaVersionAtLeast with JDK 9/11/17.
### Why are the changes needed?
- To remove unused code.
- We dropped JDK 8 and 11 at SPARK-44112 so no need to check lower versions
conditionally.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
CI in this PR should test them out.
### Was this patch authored or co-authored using generative AI tooling?
No.
Closes #43098 from HyukjinKwon/SPARK-45309.
Authored-by: Hyukjin Kwon <gurwls...@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls...@apache.org>
---
.../org/apache/spark/sql/ClientE2ETestSuite.scala | 23 +++++++---------
.../apache/spark/sql/SQLImplicitsTestSuite.scala | 11 ++++----
.../org/apache/spark/internal/config/UI.scala | 4 +--
.../org/apache/spark/storage/StorageUtils.scala | 32 ++++++----------------
.../org/apache/spark/util/ClosureCleaner.scala | 5 ++--
.../sql/hive/execution/InsertIntoHiveTable.scala | 23 ----------------
.../hive/HiveExternalCatalogVersionsSuite.scala | 6 +---
.../spark/sql/hive/HiveSparkSubmitSuite.scala | 13 +++------
.../spark/sql/hive/client/HiveClientSuite.scala | 9 ++----
.../spark/sql/hive/execution/HiveQuerySuite.scala | 8 +-----
10 files changed, 35 insertions(+), 99 deletions(-)
diff --git
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 55718ed9c0b..c8999a2f22c 100644
---
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -26,7 +26,6 @@ import scala.collection.mutable
import org.apache.commons.io.FileUtils
import org.apache.commons.io.output.TeeOutputStream
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
import org.scalactic.TolerantNumerics
import org.scalatest.PrivateMethodTester
@@ -410,18 +409,16 @@ class ClientE2ETestSuite extends RemoteSparkSession with
SQLHelper with PrivateM
test("write jdbc") {
assume(IntegrationTestUtils.isSparkHiveJarAvailable)
- if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
- val url = "jdbc:derby:memory:1234"
- val table = "t1"
- try {
- spark.range(10).write.jdbc(url = s"$url;create=true", table, new
Properties())
- val result = spark.read.jdbc(url = url, table, new
Properties()).collect()
- assert(result.length == 10)
- } finally {
- // clean up
- assertThrows[SparkException] {
- spark.read.jdbc(url = s"$url;drop=true", table, new
Properties()).collect()
- }
+ val url = "jdbc:derby:memory:1234"
+ val table = "t1"
+ try {
+ spark.range(10).write.jdbc(url = s"$url;create=true", table, new
Properties())
+ val result = spark.read.jdbc(url = url, table, new
Properties()).collect()
+ assert(result.length == 10)
+ } finally {
+ // clean up
+ assertThrows[SparkException] {
+ spark.read.jdbc(url = s"$url;drop=true", table, new
Properties()).collect()
}
}
}
diff --git
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
index 680380c91a0..2e258a356fc 100644
---
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
+++
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
@@ -23,7 +23,7 @@ import java.util.concurrent.atomic.AtomicLong
import io.grpc.inprocess.InProcessChannelBuilder
import org.apache.arrow.memory.RootAllocator
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
+import org.apache.commons.lang3.SystemUtils
import org.scalatest.BeforeAndAfterAll
import org.apache.spark.sql.connect.client.SparkConnectClient
@@ -146,13 +146,12 @@ class SQLImplicitsTestSuite extends ConnectFunSuite with
BeforeAndAfterAll {
testImplicit(BigDecimal(decimal))
testImplicit(Date.valueOf(LocalDate.now()))
testImplicit(LocalDate.now())
- // SPARK-42770: Run `LocalDateTime.now()` and `Instant.now()` with Java 8
& 11 always
- // get microseconds on both Linux and MacOS, but there are some
differences when
- // using Java 17, it will get accurate nanoseconds on Linux, but still get
the microseconds
- // on MacOS. At present, Spark always converts them to microseconds, this
will cause the
+ // SPARK-42770: `LocalDateTime.now()` and `Instant.now()` it will get
accurate
+ // nanoseconds on Linux, but get the microseconds on MacOS. At present,
+ // Spark always converts them to microseconds, this will cause the
// test fail when using Java 17 on Linux, so add
`truncatedTo(ChronoUnit.MICROS)` when
// testing on Linux using Java 17 to ensure the accuracy of input data is
microseconds.
- if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_17) &&
SystemUtils.IS_OS_LINUX) {
+ if (SystemUtils.IS_OS_LINUX) {
testImplicit(LocalDateTime.now().truncatedTo(ChronoUnit.MICROS))
testImplicit(Instant.now().truncatedTo(ChronoUnit.MICROS))
testImplicit(Timestamp.from(Instant.now().truncatedTo(ChronoUnit.MICROS)))
diff --git a/core/src/main/scala/org/apache/spark/internal/config/UI.scala
b/core/src/main/scala/org/apache/spark/internal/config/UI.scala
index d0db5a90854..841d2b494c0 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/UI.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/UI.scala
@@ -20,8 +20,6 @@ package org.apache.spark.internal.config
import java.util.Locale
import java.util.concurrent.TimeUnit
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
-
import org.apache.spark.network.util.ByteUnit
private[spark] object UI {
@@ -102,7 +100,7 @@ private[spark] object UI {
val UI_HEAP_HISTOGRAM_ENABLED =
ConfigBuilder("spark.ui.heapHistogramEnabled")
.version("3.5.0")
.booleanConf
- .createWithDefault(SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_11))
+ .createWithDefault(true)
val UI_PROMETHEUS_ENABLED = ConfigBuilder("spark.ui.prometheus.enabled")
.internal()
diff --git a/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
index c607fb28b2f..e73a65e09cb 100644
--- a/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
+++ b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
@@ -22,7 +22,6 @@ import java.nio.{ByteBuffer, MappedByteBuffer}
import scala.collection.Map
import scala.collection.mutable
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
import sun.misc.Unsafe
import sun.nio.ch.DirectBuffer
@@ -198,29 +197,14 @@ private[spark] class StorageStatus(
/** Helper methods for storage-related objects. */
private[spark] object StorageUtils extends Logging {
- // In Java 8, the type of DirectBuffer.cleaner() was sun.misc.Cleaner, and
it was possible
- // to access the method sun.misc.Cleaner.clean() to invoke it. The type
changed to
- // jdk.internal.ref.Cleaner in later JDKs, and the .clean() method is not
accessible even with
- // reflection. However sun.misc.Unsafe added a invokeCleaner() method in JDK
9+ and this is
- // still accessible with reflection.
- private val bufferCleaner: DirectBuffer => Unit =
- if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
- val cleanerMethod =
- Utils.classForName("sun.misc.Unsafe").getMethod("invokeCleaner",
classOf[ByteBuffer])
- val unsafeField = classOf[Unsafe].getDeclaredField("theUnsafe")
- unsafeField.setAccessible(true)
- val unsafe = unsafeField.get(null).asInstanceOf[Unsafe]
- buffer: DirectBuffer => cleanerMethod.invoke(unsafe, buffer)
- } else {
- val cleanerMethod =
Utils.classForName("sun.misc.Cleaner").getMethod("clean")
- buffer: DirectBuffer => {
- // Careful to avoid the return type of .cleaner(), which changes with
JDK
- val cleaner: AnyRef = buffer.cleaner()
- if (cleaner != null) {
- cleanerMethod.invoke(cleaner)
- }
- }
- }
+ private val bufferCleaner: DirectBuffer => Unit = {
+ val cleanerMethod =
+ Utils.classForName("sun.misc.Unsafe").getMethod("invokeCleaner",
classOf[ByteBuffer])
+ val unsafeField = classOf[Unsafe].getDeclaredField("theUnsafe")
+ unsafeField.setAccessible(true)
+ val unsafe = unsafeField.get(null).asInstanceOf[Unsafe]
+ buffer: DirectBuffer => cleanerMethod.invoke(unsafe, buffer)
+ }
/**
* Attempt to clean up a ByteBuffer if it is direct or memory-mapped. This
uses an *unsafe* Sun
diff --git a/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
b/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
index fb2ce44edf5..35b2be7c5a2 100644
--- a/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
+++ b/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
@@ -24,7 +24,7 @@ import java.lang.reflect.{Field, Modifier}
import scala.collection.JavaConverters._
import scala.collection.mutable.{Map, Set, Stack}
-import org.apache.commons.lang3.{ClassUtils, JavaVersion, SystemUtils}
+import org.apache.commons.lang3.ClassUtils
import org.apache.xbean.asm9.{ClassReader, ClassVisitor, Handle,
MethodVisitor, Type}
import org.apache.xbean.asm9.Opcodes._
import org.apache.xbean.asm9.tree.{ClassNode, MethodNode}
@@ -421,8 +421,7 @@ private[spark] object ClosureCleaner extends Logging {
* This method is used to get the final modifier field when on Java 17.
*/
private def getFinalModifiersFieldForJava17(field: Field): Option[Field] = {
- if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_17) &&
- Modifier.isFinal(field.getModifiers)) {
+ if (Modifier.isFinal(field.getModifiers)) {
val methodGetDeclaredFields0 = classOf[Class[_]]
.getDeclaredMethod("getDeclaredFields0", classOf[Boolean])
methodGetDeclaredFields0.setAccessible(true)
diff --git
a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
index 658d00c46e4..ee4a6a3e1eb 100644
---
a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
+++
b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
@@ -35,7 +35,6 @@ import org.apache.spark.sql.execution.command.CommandUtils
import org.apache.spark.sql.execution.datasources.{FileFormat, V1WriteCommand,
V1WritesUtils}
import org.apache.spark.sql.hive.HiveExternalCatalog
import org.apache.spark.sql.hive.client.HiveClientImpl
-import org.apache.spark.sql.hive.client.hive._
/**
@@ -235,28 +234,6 @@ case class InsertIntoHiveTable(
.unwrapped.asInstanceOf[HiveExternalCatalog]
.client
.version
- // SPARK-31684:
- // For Hive 2.0.0 and onwards, as
https://issues.apache.org/jira/browse/HIVE-11940
- // has been fixed, and there is no performance issue anymore. We
should leave the
- // overwrite logic to hive to avoid failure in
`FileSystem#checkPath` when the table
- // and partition locations do not belong to the same `FileSystem`
- // TODO(SPARK-31675): For Hive 2.2.0 and earlier, if the table and
partition locations
- // do not belong together, we will still get the same error thrown
by hive encryption
- // check. see https://issues.apache.org/jira/browse/HIVE-14380.
- // So we still disable for Hive overwrite for Hive 1.x for better
performance because
- // the partition and table are on the same cluster in most cases.
- if (partitionPath.nonEmpty && overwrite && hiveVersion < v2_0) {
- partitionPath.foreach { path =>
- val fs = path.getFileSystem(hadoopConf)
- if (fs.exists(path)) {
- if (!fs.delete(path, true)) {
- throw
QueryExecutionErrors.cannotRemovePartitionDirError(path)
- }
- // Don't let Hive do overwrite operation since it is slower.
- doHiveOverwrite = false
- }
- }
- }
// inheritTableSpecs is set to true. It should be set to false for
an IMPORT query
// which is currently considered as a Hive native command.
diff --git
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala
index bfa6c8c3838..40d983e1061 100644
---
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala
+++
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala
@@ -64,11 +64,7 @@ class HiveExternalCatalogVersionsSuite extends
SparkSubmitTestUtils {
private val sparkTestingDir =
Option(System.getProperty(SPARK_TEST_CACHE_DIR_SYSTEM_PROPERTY))
.map(new File(_)).getOrElse(Utils.createTempDir(namePrefix =
"test-spark"))
private val unusedJar = TestUtils.createJarWithClasses(Seq.empty)
- val hiveVersion = if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
- HiveUtils.builtinHiveVersion
- } else {
- "1.2.1"
- }
+ val hiveVersion = HiveUtils.builtinHiveVersion
override def afterAll(): Unit = {
try {
diff --git
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala
index fa4d1b78d1c..5e405127a15 100644
---
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala
+++
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveSparkSubmitSuite.scala
@@ -21,7 +21,6 @@ import java.io.{BufferedWriter, File, FileWriter}
import scala.util.Properties
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
import org.apache.hadoop.fs.Path
import org.apache.hadoop.hive.common.FileUtils
import org.scalatest.Assertions._
@@ -141,8 +140,7 @@ class HiveSparkSubmitSuite
runSparkSubmit(args)
}
- test("SPARK-8020: set sql conf in spark conf") {
- assume(!SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9))
+ ignore("SPARK-8020: set sql conf in spark conf") {
val unusedJar = TestUtils.createJarWithClasses(Seq.empty)
val args = Seq(
"--class", SparkSQLConfTest.getClass.getName.stripSuffix("$"),
@@ -180,8 +178,7 @@ class HiveSparkSubmitSuite
runSparkSubmit(args)
}
- test("SPARK-9757 Persist Parquet relation with decimal column") {
- assume(!SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9))
+ ignore("SPARK-9757 Persist Parquet relation with decimal column") {
val unusedJar = TestUtils.createJarWithClasses(Seq.empty)
val args = Seq(
"--class", SPARK_9757.getClass.getName.stripSuffix("$"),
@@ -277,8 +274,7 @@ class HiveSparkSubmitSuite
runSparkSubmit(args)
}
- test("SPARK-16901: set javax.jdo.option.ConnectionURL") {
- assume(!SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9))
+ ignore("SPARK-16901: set javax.jdo.option.ConnectionURL") {
// In this test, we set javax.jdo.option.ConnectionURL and set metastore
version to
// 0.13. This test will make sure that javax.jdo.option.ConnectionURL will
not be
// overridden by hive's default settings when we create a HiveConf object
inside
@@ -359,9 +355,8 @@ class HiveSparkSubmitSuite
runSparkSubmit(argsForShowTables)
}
- test("SPARK-34772: RebaseDateTime loadRebaseRecords should use Spark
classloader " +
+ ignore("SPARK-34772: RebaseDateTime loadRebaseRecords should use Spark
classloader " +
"instead of context") {
- assume(!SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9))
val unusedJar = TestUtils.createJarWithClasses(Seq.empty)
// We need to specify the metastore database location in case of conflict
with other hive
diff --git
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
index 8476c87dc28..452d9850b00 100644
---
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
+++
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
@@ -20,7 +20,6 @@ package org.apache.spark.sql.hive.client
import java.io.{ByteArrayOutputStream, File, PrintStream, PrintWriter}
import java.net.URI
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.Path
import org.apache.hadoop.hive.common.StatsSetupConst
@@ -663,14 +662,12 @@ class HiveClientSuite(version: String, allVersions:
Seq[String])
test("sql read hive materialized view") {
// HIVE-14249 Since Hive 2.3.0, materialized view is supported.
- if (version == "2.3" || version == "3.0" || version == "3.1") {
- // Since Hive 3.0(HIVE-19383), we can not run local MR by
`client.runSqlHive` with JDK 11.
- assume(version == "2.3" ||
!SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9))
+ // Since Hive 3.0(HIVE-19383), we can not run local MR by
`client.runSqlHive` with JDK 11.
+ if (version == "2.3") {
// Since HIVE-18394(Hive 3.1), "Create Materialized View" should default
to rewritable ones
- val disableRewrite = if (version == "2.3" || version == "3.0") "" else
"DISABLE REWRITE"
client.runSqlHive("CREATE TABLE materialized_view_tbl (c1 INT)")
client.runSqlHive(
- s"CREATE MATERIALIZED VIEW mv1 $disableRewrite AS SELECT * FROM
materialized_view_tbl")
+ s"CREATE MATERIALIZED VIEW mv1 AS SELECT * FROM materialized_view_tbl")
checkError(
exception = intercept[AnalysisException] {
versionSpark.table("mv1").collect()
diff --git
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
index 82b88ec9f35..b2a6e45de5d 100644
---
a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
+++
b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
@@ -24,7 +24,6 @@ import java.sql.Timestamp
import scala.util.Try
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
import org.apache.hadoop.hive.conf.HiveConf.ConfVars
import org.scalatest.BeforeAndAfter
@@ -1640,12 +1639,7 @@ class HiveQuerySuite extends HiveComparisonTest with
SQLTestUtils with BeforeAnd
test("udf_radians") {
withSQLConf("hive.fetch.task.conversion" -> "more") {
val result = sql("select radians(57.2958) FROM src tablesample (1
rows)").collect()
- if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
- assertResult(Array(Row(1.0000003575641672))) (result)
- } else {
- assertResult(Array(Row(1.000000357564167))) (result)
- }
-
+ assertResult(Array(Row(1.0000003575641672))) (result)
assertResult(Array(Row(2.4999991485811655))) {
sql("select radians(143.2394) FROM src tablesample (1 rows)").collect()
}
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