zhangjun0x01 commented on a change in pull request #1936:
URL: https://github.com/apache/iceberg/pull/1936#discussion_r560864790
##########
File path:
flink/src/test/java/org/apache/iceberg/flink/TestFlinkTableSource.java
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@@ -685,4 +782,60 @@ public void testSqlParseError() {
AssertHelpers.assertThrows("The NaN is not supported by flink now. ",
NumberFormatException.class, () -> sql(sqlParseErrorLTE));
}
+
+ /**
+ * The sql can be executed in both streaming and batch mode, in order to get
the parallelism, we convert the flink
+ * Table to flink DataStream, so we only use streaming mode here.
+ *
+ * @throws TableNotExistException table not exist exception
+ */
+ @Test
+ public void testInferedParallelism() throws TableNotExistException {
+ Assume.assumeTrue("The execute mode should be streaming mode",
isStreamingJob);
Review comment:
Although we use streaming mode, we read a batch of data, so flink will
treat this batch job as a bounded stream. I think whether we should use
`StreamExecutionEnvironment` to process batch jobs and streaming jobs at the
same time?
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