Github user xwu0226 commented on a diff in the pull request:
https://github.com/apache/spark/pull/13088#discussion_r63134583
--- Diff: repl/scala-2.11/src/main/scala/org/apache/spark/repl/Main.scala
---
@@ -88,7 +88,8 @@ object Main extends Logging {
}
val builder = SparkSession.builder.config(conf)
- if (SparkSession.hiveClassesArePresent) {
+ if (conf.getBoolean("spark.user.hive.catalog", true)
--- End diff --
Right now from the repl/Main.scala level, the way to generate a
sparkSession with hive catalog is checking
`SparkSession.hiveClassesArePresent`, which checks for the classes for
`HiveSharedState` and `HiveSessionState`. If these classes are built, repl
will always start sparkSession that uses hive catalog. In order for repl to
use InMemoryCatalog, we need to go the else code path of the code
```
if (conf.getBoolean("spark.use.hive.catalog", true)
&& SparkSession.hiveClassesArePresent) {
sparkSession = builder.enableHiveSupport().getOrCreate()
logInfo("Created Spark session with Hive support")
} else {
sparkSession = builder.getOrCreate()
logInfo("Created Spark session")
}
```
I think the default value for the `CATALOG_IMPLEMENTATION` is `in-memory`.
But maybe I can put this key `spark.sql.catalogImplementation` in the
spark-defaults.conf ?
Thanks!
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