the-other-tim-brown commented on code in PR #17573:
URL: https://github.com/apache/hudi/pull/17573#discussion_r2627497838
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieBaseRelation.scala:
##########
@@ -795,29 +793,30 @@ object HoodieBaseRelation extends SparkAdapterSupport {
* @param tableSchema schema to project (either of [[InternalSchema]] or
Avro's [[Schema]])
* @param requiredColumns required top-level columns to be projected
*/
- def projectSchema(tableSchema: Either[Schema, InternalSchema],
requiredColumns: Array[String]): (Schema, StructType, InternalSchema) = {
+ def projectSchema(tableSchema: Either[HoodieSchema, InternalSchema],
requiredColumns: Array[String]): (HoodieSchema, StructType, InternalSchema) = {
tableSchema match {
case Right(internalSchema) =>
checkState(!internalSchema.isEmptySchema)
val prunedInternalSchema =
InternalSchemaUtils.pruneInternalSchema(internalSchema,
requiredColumns.toList.asJava)
- val requiredAvroSchema =
InternalSchemaConverter.convert(prunedInternalSchema, "schema").toAvroSchema
- val requiredStructSchema =
AvroConversionUtils.convertAvroSchemaToStructType(requiredAvroSchema)
+ val requiredSchema =
InternalSchemaConverter.convert(prunedInternalSchema, "schema")
+ val requiredStructSchema =
HoodieSchemaConversionUtils.convertHoodieSchemaToStructType(requiredSchema)
- (requiredAvroSchema, requiredStructSchema, prunedInternalSchema)
+ (requiredSchema, requiredStructSchema, prunedInternalSchema)
- case Left(avroSchema) =>
- val fieldMap = avroSchema.getFields.asScala.map(f => f.name() ->
f).toMap
+ case Left(hoodieSchema) =>
+ val fieldMap = hoodieSchema.getFields.asScala.map(f => f.name() ->
f).toMap
val requiredFields = requiredColumns.map { col =>
- val f = fieldMap(col)
- // We have to create a new [[Schema.Field]] since Avro schemas can't
share field
- // instances (and will throw "org.apache.avro.AvroRuntimeException:
Field already used")
- createNewSchemaField(f.name(), f.schema(), f.doc(), f.defaultVal(),
f.order())
Review Comment:
When we're just copying the value, we can use the `createNewSchemaField`
that takes in the field directly so it is less verbose
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