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[MINOR] Fix typo,rename 'HooodieAvroDeserializer' to 'HoodieAvroDeserializer' (#4064)

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董可伦
2021-11-23 19:10:57 +08:00
committed by GitHub
parent ca9bfa2a40
commit 969a5bf11e
3 changed files with 7 additions and 7 deletions
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8
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/HoodieMergeOnReadRDD.scala
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@@ -28,7 +28,7 @@ import org.apache.hudi.exception.HoodieException
import org.apache.hudi.hadoop.config.HoodieRealtimeConfig
import org.apache.hudi.hadoop.utils.HoodieInputFormatUtils.HOODIE_RECORD_KEY_COL_POS
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.avro.{HoodieAvroSerializer, HooodieAvroDeserializer}
import org.apache.spark.sql.avro.{HoodieAvroSerializer, HoodieAvroDeserializer}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.{SpecificInternalRow, UnsafeProjection}
import org.apache.spark.sql.execution.datasources.PartitionedFile
@@ -119,7 +119,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
tableState.requiredStructSchema
.map(f => tableAvroSchema.getField(f.name).pos()).toList
private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
private val deserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val deserializer = HoodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords
private val logRecordsKeyIterator = logRecords.keySet().iterator().asScala
@@ -158,7 +158,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
tableState.requiredStructSchema
.map(f => tableAvroSchema.getField(f.name).pos()).toList
private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
private val deserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val deserializer = HoodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords
private val logRecordsKeyIterator = logRecords.keySet().iterator().asScala
@@ -204,7 +204,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
tableState.requiredStructSchema
.map(f => tableAvroSchema.getField(f.name).pos()).toList
private val serializer = HoodieAvroSerializer(tableState.tableStructSchema, tableAvroSchema, false)
private val requiredDeserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val requiredDeserializer = HoodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords

2
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/avro/HooodieAvroDeserializer.scala → hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/avro/HoodieAvroDeserializer.scala
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@@ -24,7 +24,7 @@ import org.apache.spark.sql.types.DataType
* This is to be compatible with the type returned by Spark 3.1
* and other spark versions for AvroDeserializer
*/
case class HooodieAvroDeserializer(rootAvroType: Schema, rootCatalystType: DataType)
case class HoodieAvroDeserializer(rootAvroType: Schema, rootCatalystType: DataType)
extends AvroDeserializer(rootAvroType, rootCatalystType) {
def deserializeData(data: Any): Any = {

4
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/payload/SqlTypedRecord.scala
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@@ -22,7 +22,7 @@ import org.apache.avro.Schema
import org.apache.hudi.AvroConversionUtils
import org.apache.spark.sql.avro.HooodieAvroDeserializer
import org.apache.spark.sql.avro.HoodieAvroDeserializer
import org.apache.spark.sql.catalyst.InternalRow
/**
@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.InternalRow
class SqlTypedRecord(val record: IndexedRecord) extends IndexedRecord {
private lazy val sqlType = AvroConversionUtils.convertAvroSchemaToStructType(getSchema)
private lazy val avroDeserializer = HooodieAvroDeserializer(record.getSchema, sqlType)
private lazy val avroDeserializer = HoodieAvroDeserializer(record.getSchema, sqlType)
private lazy val sqlRow = avroDeserializer.deserializeData(record).asInstanceOf[InternalRow]
override def put(i: Int, v: Any): Unit = {