asfgit closed pull request #23356: [SPARK-26422][R] Support to disable Hive
support in SparkR even for Hadoop versions unsupported by Hive fork
URL: https://github.com/apache/spark/pull/23356
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diff --git a/sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
b/sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
index becb05cf72aba..e98cab8b56d13 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
@@ -49,9 +49,17 @@ private[sql] object SQLUtils extends Logging {
sparkConfigMap: JMap[Object, Object],
enableHiveSupport: Boolean): SparkSession = {
val spark =
- if (SparkSession.hiveClassesArePresent && enableHiveSupport &&
+ if (enableHiveSupport &&
jsc.sc.conf.get(CATALOG_IMPLEMENTATION.key,
"hive").toLowerCase(Locale.ROOT) ==
- "hive") {
+ "hive" &&
+ // Note that the order of conditions here are on purpose.
+ // `SparkSession.hiveClassesArePresent` checks if Hive's `HiveConf`
is loadable or not;
+ // however, `HiveConf` itself has some static logic to check if
Hadoop version is
+ // supported or not, which throws an `IllegalArgumentException` if
unsupported.
+ // If this is checked first, there's no way to disable Hive support
in the case above.
+ // So, we intentionally check if Hive classes are loadable or not
only when
+ // Hive support is explicitly enabled by short-circuiting. See also
SPARK-26422.
+ SparkSession.hiveClassesArePresent) {
SparkSession.builder().sparkContext(withHiveExternalCatalog(jsc.sc)).getOrCreate()
} else {
if (enableHiveSupport) {
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