viirya commented on code in PR #613:
URL: https://github.com/apache/datafusion-comet/pull/613#discussion_r1666304767
##########
spark/src/test/scala/org/apache/spark/sql/CometTPCDSQuerySuite.scala:
##########
@@ -158,6 +158,11 @@ class CometTPCDSQuerySuite
conf.set(CometConf.COMET_EXEC_ALL_OPERATOR_ENABLED.key, "true")
conf.set(CometConf.COMET_EXEC_SHUFFLE_ENABLED.key, "true")
conf.set(CometConf.COMET_MEMORY_OVERHEAD.key, "20g")
+ conf.set(CometConf.COMET_SHUFFLE_ENFORCE_MODE_ENABLED.key, "true")
+ conf.set("spark.sql.adaptive.coalescePartitions.enabled", "true")
+ // Disable `CometTakeOrderedAndProjectExec` because it doesn't produce
same output order
+ // as Spark.
+ conf.set("spark.comet.exec.takeOrderedAndProjectExec.disabled", "true")
Review Comment:
Hmm, I found that the order of returned rows are not related to the sorting
columns. For example, if you sort on [a, b], there are some rows with same [a,
b] so the order of these rows are irrelevant to the sorting order, i.e., either
```
|a|b|c|
|0|1|1|
|0|1|2|
```
or
```
|a|b|c|
|0|1|2|
|0|1|1|
```
are correct results for sorting on [a, b]. In these failed queries, Spark
sort produces one and DataFusion sort produces another one. Because we compare
the results as string, they are considered incorrect now.
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