beyond1920 commented on code in PR #8102:
URL: https://github.com/apache/hudi/pull/8102#discussion_r1157216410
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hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/table/ITTestHoodieDataSource.java:
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@@ -1835,6 +1885,75 @@ private static Stream<Arguments>
indexAndTableTypeParams() {
return Stream.of(data).map(Arguments::of);
}
+ /**
+ * Return test params => (HoodieTableType, hive style partitioning, filter
condition, expected result).
+ */
+ private static Stream<Arguments> tableTypeAndFilters() {
+ HoodieTableType[] tableTypes = {HoodieTableType.COPY_ON_WRITE,
HoodieTableType.MERGE_ON_READ};
+ boolean [] isHiveStylePartitions = {true, false};
+ Pair<String, List<RowData>>[] filterAndResults = new Pair[] {
+ Pair.of(
+ "`partition` = 'par5' or `partition` = 'par6'",
+ Arrays.asList(
+ insertRow(StringData.fromString("id9"),
StringData.fromString("LiLi"), 24,
+ TimestampData.fromEpochMillis(9),
StringData.fromString("par5")))),
+ Pair.of(
+ "`partition` >= 'par5' and `partition` <= 'par6'",
+ Arrays.asList(
+ insertRow(StringData.fromString("id9"),
StringData.fromString("LiLi"), 24,
+ TimestampData.fromEpochMillis(9),
StringData.fromString("par5")))),
+ Pair.of(
+ "`partition` <> 'par7'",
+ Arrays.asList(
+ insertRow(StringData.fromString("id1"),
StringData.fromString("Danny"), 23,
+ TimestampData.fromEpochMillis(1),
StringData.fromString("par1")),
+ insertRow(StringData.fromString("id2"),
StringData.fromString("Stephen"), 33,
+ TimestampData.fromEpochMillis(2),
StringData.fromString("par1")),
+ insertRow(StringData.fromString("id3"),
StringData.fromString("Julian"), 53,
Review Comment:
Already use one input data set.
Those data is output data, which is different based on different filter
conditions.
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