dillitz commented on code in PR #41829:
URL: https://github.com/apache/spark/pull/41829#discussion_r1251938373
##########
connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala:
##########
@@ -564,4 +606,33 @@ object SparkConnectClient {
}
}
}
+
+ private[client] def retryException(e: Throwable): Boolean = {
+ if (e.isInstanceOf[StatusRuntimeException]) {
+ e.asInstanceOf[StatusRuntimeException].getStatus().getCode() ==
Status.Code.UNAVAILABLE
+ } else {
+ false
+ }
+ }
+
+ /**
+ * [[RetryParameters]] configure the retry mechanism in
[[SparkConnectClient]]
+ *
+ * @param max_retries
+ * Maximum number of retries.
+ * @param initial_backoff
+ * Start value of the exponential backoff (ms).
+ * @param max_backoff
+ * Maximal value of the exponential backoff (ms).
+ * @param backoff_multiplier
+ * Multiplicative base of the exponential backoff.
+ * @param should_retry
+ * Function that determines whether a retry is to be performed in the
event of an error.
Review Comment:
A custom `RetryPolicy` object can be passed to `Configuration` as it is done
in the included unit tests. By default, we use
`SparkConnectClient.retryException` that mirrors the behavior of the Python
client.
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