openinx commented on a change in pull request #1936:
URL: https://github.com/apache/iceberg/pull/1936#discussion_r561506300
##########
File path:
flink/src/test/java/org/apache/iceberg/flink/TestFlinkTableSource.java
##########
@@ -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:
The `isStreaming` indicate whether the flink source is a streaming
source (In our mind) , not say it's a streaming job or batch job. The hive
table source also has the similar configure key :
```java
public static final ConfigOption<Boolean> STREAMING_SOURCE_ENABLE =
key("streaming-source.enable")
.booleanType()
.defaultValue(false)
.withDescription(
"Enable streaming source or not.\n"
+ " NOTES: Please make sure that each
partition/file should be written"
+ " atomically, otherwise the reader may
get incomplete data.");
```
If we think this iceberg configure key is not very clear, I think we could
propose another separate PR to align with hive configure key. Let's focus on
this parallelism issue here, what do you think ?
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