nsivabalan commented on code in PR #5501:
URL: https://github.com/apache/hudi/pull/5501#discussion_r871398787
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hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/dag/nodes/BaseValidateDatasetNode.java:
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@@ -157,14 +157,19 @@ public void execute(ExecutionContext context, int
curItrCount) throws Exception
}
}
- private Dataset<Row> getInputDf(ExecutionContext context, SparkSession
session, String inputPath) {
+ private Dataset<Row> getInputDf(ExecutionContext context, SparkSession
session, String inputPath, String partitionsToSkipWithValidate) {
String recordKeyField =
context.getWriterContext().getProps().getString(DataSourceWriteOptions.RECORDKEY_FIELD().key());
String partitionPathField =
context.getWriterContext().getProps().getString(DataSourceWriteOptions.PARTITIONPATH_FIELD().key());
// todo: fix hard coded fields from configs.
// read input and resolve insert, updates, etc.
Dataset<Row> inputDf = session.read().format("avro").load(inputPath);
+ Dataset<Row> trimmedDf = inputDf;
+ if (!config.partitonsToSkipWithValidate().isEmpty()) {
+ trimmedDf = inputDf.filter("instr("+partitionPathField+", \'"+
config.partitonsToSkipWithValidate() +"\') != 1");
Review Comment:
then, we have to convert to timestamp based partition path and then do the
filtering. here we are filtering on the input dataframe itself. So, we couldn't
do much here.
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