xkrogen commented on a change in pull request #31203:
URL: https://github.com/apache/spark/pull/31203#discussion_r562924187
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File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
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@@ -88,31 +89,71 @@ private[hive] object IsolatedClientLoader extends Logging {
barrierPrefixes = barrierPrefixes)
}
- def hiveVersion(version: String): HiveVersion = version match {
- case "12" | "0.12" | "0.12.0" => hive.v12
- case "13" | "0.13" | "0.13.0" | "0.13.1" => hive.v13
- case "14" | "0.14" | "0.14.0" => hive.v14
- case "1.0" | "1.0.0" | "1.0.1" => hive.v1_0
- case "1.1" | "1.1.0" | "1.1.1" => hive.v1_1
- case "1.2" | "1.2.0" | "1.2.1" | "1.2.2" => hive.v1_2
- case "2.0" | "2.0.0" | "2.0.1" => hive.v2_0
- case "2.1" | "2.1.0" | "2.1.1" => hive.v2_1
- case "2.2" | "2.2.0" => hive.v2_2
- case "2.3" | "2.3.0" | "2.3.1" | "2.3.2" | "2.3.3" | "2.3.4" | "2.3.5" |
"2.3.6" | "2.3.7" |
- "2.3.8" => hive.v2_3
- case "3.0" | "3.0.0" => hive.v3_0
- case "3.1" | "3.1.0" | "3.1.1" | "3.1.2" => hive.v3_1
- case version =>
+ def hiveVersion(version: String): HiveVersion = {
+ getVersionParts(version).flatMap {
+ case (12, _, _) | (0, 12, _) => Some(hive.v12)
+ case (13, _, _) | (0, 13, _) => Some(hive.v13)
+ case (14, _, _) | (0, 14, _) => Some(hive.v14)
+ case (1, 0, _) => Some(hive.v1_0)
+ case (1, 1, _) => Some(hive.v1_1)
+ case (1, 2, _) => Some(hive.v1_2)
+ case (2, 0, _) => Some(hive.v2_0)
+ case (2, 1, _) => Some(hive.v2_1)
+ case (2, 2, _) => Some(hive.v2_2)
+ case (2, 3, _) => Some(hive.v2_3)
+ case (3, 0, _) => Some(hive.v3_0)
+ case (3, 1, _) => Some(hive.v3_1)
+ case _ => None
+ }.getOrElse {
throw new UnsupportedOperationException(s"Unsupported Hive Metastore
version ($version). " +
s"Please set ${HiveUtils.HIVE_METASTORE_VERSION.key} with a valid
version.")
+ }
+ }
+
+ def supportHadoopShadedClient(hadoopVersion: String): Boolean = {
+ getVersionParts(hadoopVersion).exists {
+ case (3, 2, v) if v >= 2 => true
+ case _ => false
Review comment:
Excellent idea on adding a compatibility test for the built-in Hadoop
version!
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