sandeep-katta commented on a change in pull request #32194:
URL: https://github.com/apache/spark/pull/32194#discussion_r614535186
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SchemaPruning.scala
##########
@@ -36,7 +38,8 @@ object SchemaPruning {
.reduceLeft(_ merge _)
val dataSchemaFieldNames = dataSchema.fieldNames.toSet
val mergedDataSchema =
- StructType(mergedSchema.filter(f =>
dataSchemaFieldNames.contains(f.name)))
+ StructType(mergedSchema.filter(f =>
dataSchemaFieldNames.exists(resolver(_, f.name))
Review comment:
Before query should fail without this fix
```
val inputPath = "/Users/xyz/data/testcaseInsensitivity"
val output_path = "/Users/xyz/output"
spark.range(10).write.format("parquet").save(inputPath)
def process_row(microBatch: DataFrame, batchId: Long): Unit = {
val df = microBatch.select($"ID".alias("other")) // Doesn't work
df.write.format("parquet").mode("append").save(output_path)
}
val schema = new StructType().add("id", LongType)
val stream_df =
spark.readStream.schema(schema).format("parquet").load(inputPath)
stream_df.writeStream.trigger(Trigger.Once).foreachBatch(process_row _)
.start().awaitTermination()
```
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