LantaoJin commented on a change in pull request #28938:
URL: https://github.com/apache/spark/pull/28938#discussion_r509954044
##########
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
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@@ -95,11 +100,20 @@ private[spark] class HiveExternalCatalog(conf: SparkConf,
hadoopConf: Configurat
}
/**
- * Run some code involving `client` in a [[synchronized]] block and wrap
certain
+ * Run some code involving `client` in a [[ReadWriteLock]] and wrap certain
* exceptions thrown in the process in [[AnalysisException]].
+ *
+ * @param db to specify the place of the operation act on.
+ * @param writeLock to specify it is a write lock.
*/
- private def withClient[T](body: => T): T = synchronized {
+ private def withClient[T](db: String = "", writeLock: Boolean = false)
(body: => T): T = {
Review comment:
@cloud-fan The hive client is not thread-safe.
1. If there are two threads are creating two tables in the same database.
For example, thread-1 is creating db1.table1 and thread-2 is creating
db1.table2. This db-level lock in `withClient` will block one thread until the
other one finished.
2. If there are two threads are creating two tables in the different
database. For example, thread-1 is creating db1.table1 and thread-2 is creating
db2.table2. There operations could be executed concurrently since the hive
clients are thread-local. The client in thread-1 is not the same instance with
the client in thread-2:
```scala
private def client: Hive = {
// get the Hive and set to thread local
val c = Hive.get(conf)
Hive.set(c)
c
}
```
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