Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/6912#discussion_r33110812 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/client/ClientWrapper.scala --- @@ -136,12 +137,62 @@ private[hive] class ClientWrapper( // TODO: should be a def?s // When we create this val client, the HiveConf of it (conf) is the one associated with state. - private val client = Hive.get(conf) + @GuardedBy("this") + private var client = Hive.get(conf) + + // We use hive's conf for compatibility. + private val retryLimit = conf.getIntVar(HiveConf.ConfVars.METASTORETHRIFTFAILURERETRIES) + private val retryDelayMillis = shim.getMetastoreClientConnectRetryDelayMillis(conf) + + /** + * Runs `f` with multiple retries in case the hive metastore is temporarily unreachable. + */ + private def retryLocked[A](f: => A): A = synchronized { + // Hive sometimes retries internally, so set a deadline to avoid compounding delays. + val deadline = System.nanoTime + (retryLimit * retryDelayMillis * 1e6).toLong + var numTries = 0 + var caughtException: Exception = null + do { + numTries += 1 + try { + return f + } catch { + case e: Exception if causedByThrift(e) => + caughtException = e + logWarning( + "HiveClientWrapper got thrift exception, destroying client and retrying " + + s"(${retryLimit - numTries} tries remaining)", e) + Thread.sleep(retryDelayMillis) + try { + client = Hive.get(conf, true) --- End diff -- How about we use the hive conf returned by `state.getConf`. This is the conf we used to created the original `client`.
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org