Kontinuation commented on code in PR #2138:
URL: https://github.com/apache/datafusion-comet/pull/2138#discussion_r2275731325
##########
spark/src/test/scala/org/apache/comet/parquet/ParquetReadFromS3Suite.scala:
##########
@@ -107,15 +111,52 @@ class ParquetReadFromS3Suite extends CometTestBase with
AdaptiveSparkPlanHelper
val testFilePath = s"s3a://$testBucketName/data/test-file.parquet"
writeTestParquetFile(testFilePath)
- val df =
spark.read.format("parquet").load(testFilePath).agg(sum(col("id")))
- val scans = collect(df.queryExecution.executedPlan) {
- case p: CometScanExec =>
- p
- case p: CometNativeScanExec =>
- p
- }
- assert(scans.size == 1)
+ Seq(
+ CometConf.SCAN_NATIVE_COMET,
+ CometConf.SCAN_NATIVE_DATAFUSION,
+ CometConf.SCAN_NATIVE_ICEBERG_COMPAT).foreach(scanMode => {
+ withSQLConf(CometConf.COMET_NATIVE_SCAN_IMPL.key -> scanMode) {
+ val df =
spark.read.format("parquet").load(testFilePath).agg(sum(col("id")))
+ val scans = collect(df.queryExecution.executedPlan) {
+ case p: CometScanExec =>
+ p
+ case p: CometNativeScanExec =>
+ p
+ }
+ assert(scans.size == 1)
+ assert(df.first().getLong(0) == 499500)
+ }
+ })
+ }
- assert(df.first().getLong(0) == 499500)
+ private def writePartitionedTestParquetFile(filePath: String): Unit = {
+ val df = spark.range(0, 1000).withColumn("val", expr("concat('val#', id %
10)"))
+
df.write.format("parquet").partitionBy("val").mode(SaveMode.Overwrite).save(filePath)
+ }
+
+ test("write partitioned data and read from MinIO") {
+ val testFilePath = s"s3a://$testBucketName/data/test-partitioned"
+ writePartitionedTestParquetFile(testFilePath)
+
+ Seq(
+ CometConf.SCAN_NATIVE_COMET,
+ CometConf.SCAN_NATIVE_DATAFUSION,
+ CometConf.SCAN_NATIVE_ICEBERG_COMPAT).foreach(scanMode => {
+ withSQLConf(CometConf.COMET_NATIVE_SCAN_IMPL.key -> scanMode) {
+ val df =
+ spark.read.format("parquet").load(testFilePath).agg(sum(col("id")),
max(col("val")))
Review Comment:
I have added another test for testing encoded url explicitly.
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