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Posted to issues@flink.apache.org by "RocMarshal (via GitHub)" <gi...@apache.org> on 2024/12/01 00:27:26 UTC

Re: [PR] [FLINK-33265] Support source parallelism setting for Kafka connector [flink-connector-kafka]

RocMarshal commented on code in PR #134:
URL: https://github.com/apache/flink-connector-kafka/pull/134#discussion_r1863035596


##########
flink-connector-kafka/src/test/java/org/apache/flink/streaming/connectors/kafka/table/KafkaDynamicTableFactoryTest.java:
##########
@@ -212,14 +212,56 @@ public void testTableSource() {
                         KAFKA_SOURCE_PROPERTIES,
                         StartupMode.SPECIFIC_OFFSETS,
                         specificOffsets,
-                        0);
+                        0,
+                        null);
         assertThat(actualKafkaSource).isEqualTo(expectedKafkaSource);
 
         ScanTableSource.ScanRuntimeProvider provider =
                 actualKafkaSource.getScanRuntimeProvider(ScanRuntimeProviderContext.INSTANCE);
         assertKafkaSource(provider);
     }
 
+    @Test
+    public void testTableSourceWithParallelism() {
+        final Map<String, String> modifiedOptions =
+                getModifiedOptions(
+                        getBasicSourceOptions(), options -> options.put("scan.parallelism", "100"));
+        final DynamicTableSource actualSource = createTableSource(SCHEMA, modifiedOptions);
+        final KafkaDynamicSource actualKafkaSource = (KafkaDynamicSource) actualSource;
+
+        final Map<KafkaTopicPartition, Long> specificOffsets = new HashMap<>();
+        specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_0), OFFSET_0);
+        specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_1), OFFSET_1);
+
+        final DecodingFormat<DeserializationSchema<RowData>> valueDecodingFormat =
+                new DecodingFormatMock(",", true);
+
+        // Test scan source equals
+        final KafkaDynamicSource expectedKafkaSource =
+                createExpectedScanSource(
+                        SCHEMA_DATA_TYPE,
+                        null,
+                        valueDecodingFormat,
+                        new int[0],
+                        new int[] {0, 1, 2},
+                        null,
+                        Collections.singletonList(TOPIC),
+                        null,
+                        KAFKA_SOURCE_PROPERTIES,
+                        StartupMode.SPECIFIC_OFFSETS,
+                        specificOffsets,
+                        0,
+                        100);
+        assertThat(actualKafkaSource).isEqualTo(expectedKafkaSource);
+
+        ScanTableSource.ScanRuntimeProvider provider =
+                actualKafkaSource.getScanRuntimeProvider(ScanRuntimeProviderContext.INSTANCE);
+        assertThat(provider).isInstanceOf(DataStreamScanProvider.class);
+        final DataStreamScanProvider sourceProvider = (DataStreamScanProvider) provider;
+        assertThat(sourceProvider.getParallelism().isPresent()).isTrue();
+        assertThat(sourceProvider.getParallelism().get()).isEqualTo(100);

Review Comment:
   ```suggestion
           assertThat(sourceProvider.getParallelism()).isPresent;
           assertThat(sourceProvider.getParallelism()).hasValue(100);
   ```



##########
flink-connector-kafka/src/test/java/org/apache/flink/streaming/connectors/kafka/table/KafkaDynamicTableFactoryTest.java:
##########
@@ -212,14 +212,56 @@ public void testTableSource() {
                         KAFKA_SOURCE_PROPERTIES,
                         StartupMode.SPECIFIC_OFFSETS,
                         specificOffsets,
-                        0);
+                        0,
+                        null);
         assertThat(actualKafkaSource).isEqualTo(expectedKafkaSource);
 
         ScanTableSource.ScanRuntimeProvider provider =
                 actualKafkaSource.getScanRuntimeProvider(ScanRuntimeProviderContext.INSTANCE);
         assertKafkaSource(provider);
     }
 
+    @Test
+    public void testTableSourceWithParallelism() {
+        final Map<String, String> modifiedOptions =
+                getModifiedOptions(
+                        getBasicSourceOptions(), options -> options.put("scan.parallelism", "100"));
+        final DynamicTableSource actualSource = createTableSource(SCHEMA, modifiedOptions);
+        final KafkaDynamicSource actualKafkaSource = (KafkaDynamicSource) actualSource;
+
+        final Map<KafkaTopicPartition, Long> specificOffsets = new HashMap<>();
+        specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_0), OFFSET_0);
+        specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_1), OFFSET_1);
+
+        final DecodingFormat<DeserializationSchema<RowData>> valueDecodingFormat =
+                new DecodingFormatMock(",", true);
+
+        // Test scan source equals
+        final KafkaDynamicSource expectedKafkaSource =
+                createExpectedScanSource(
+                        SCHEMA_DATA_TYPE,
+                        null,
+                        valueDecodingFormat,
+                        new int[0],
+                        new int[] {0, 1, 2},
+                        null,
+                        Collections.singletonList(TOPIC),
+                        null,
+                        KAFKA_SOURCE_PROPERTIES,
+                        StartupMode.SPECIFIC_OFFSETS,
+                        specificOffsets,
+                        0,
+                        100);
+        assertThat(actualKafkaSource).isEqualTo(expectedKafkaSource);
+
+        ScanTableSource.ScanRuntimeProvider provider =
+                actualKafkaSource.getScanRuntimeProvider(ScanRuntimeProviderContext.INSTANCE);
+        assertThat(provider).isInstanceOf(DataStreamScanProvider.class);
+        final DataStreamScanProvider sourceProvider = (DataStreamScanProvider) provider;
+        assertThat(sourceProvider.getParallelism().isPresent()).isTrue();
+        assertThat(sourceProvider.getParallelism().get()).isEqualTo(100);

Review Comment:
   ```suggestion
           assertThat(sourceProvider.getParallelism()).isPresent();
           assertThat(sourceProvider.getParallelism()).hasValue(100);
   ```



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