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Signed-off-by: Peng Huo <penghuo@gmail.com>
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72 changes: 72 additions & 0 deletions
72
core/src/main/scala/org/apache/spark/sql/delta/DeltaColumnMapping.scala
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| /* | ||
| * Copyright (2021) The Delta Lake Project Authors. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.spark.sql.delta | ||
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| import org.apache.spark.sql.delta.actions.Protocol | ||
| import org.apache.spark.sql.delta.metering.DeltaLogging | ||
| import org.apache.spark.sql.types.StructField | ||
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| import java.util.{Locale, UUID} | ||
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| trait DeltaColumnMappingBase extends DeltaLogging { | ||
| val MIN_WRITER_VERSION = 5 | ||
| val MIN_READER_VERSION = 2 | ||
| val MIN_PROTOCOL_VERSION = Protocol(MIN_READER_VERSION, MIN_WRITER_VERSION) | ||
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| val PARQUET_FIELD_ID_METADATA_KEY = "parquet.field.id" | ||
| val COLUMN_MAPPING_METADATA_PREFIX = "delta.columnMapping." | ||
| val COLUMN_MAPPING_METADATA_ID_KEY = COLUMN_MAPPING_METADATA_PREFIX + "id" | ||
| val COLUMN_MAPPING_PHYSICAL_NAME_KEY = COLUMN_MAPPING_METADATA_PREFIX + "physicalName" | ||
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| def generatePhysicalName: String = "col-" + UUID.randomUUID() | ||
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| def getPhysicalName(field: StructField): String = { | ||
| if (field.metadata.contains(COLUMN_MAPPING_PHYSICAL_NAME_KEY)) { | ||
| field.metadata.getString(COLUMN_MAPPING_PHYSICAL_NAME_KEY) | ||
| } else { | ||
| field.name | ||
| } | ||
| } | ||
| } | ||
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| object DeltaColumnMapping extends DeltaColumnMappingBase | ||
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| /** | ||
| * A trait for Delta column mapping modes. | ||
| */ | ||
| sealed trait DeltaColumnMappingMode { | ||
| def name: String | ||
| } | ||
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| /** | ||
| * No mapping mode uses a column's display name as its true identifier to | ||
| * read and write data. | ||
| * | ||
| * This is the default mode and is the same mode as Delta always has been. | ||
| */ | ||
| case object NoMapping extends DeltaColumnMappingMode { | ||
| val name = "none" | ||
| } | ||
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| object DeltaColumnMappingMode { | ||
| def apply(name: String): DeltaColumnMappingMode = { | ||
| name.toLowerCase(Locale.ROOT) match { | ||
| case NoMapping.name => NoMapping | ||
| case mode => throw DeltaErrors.unsupportedColumnMappingMode(mode) | ||
| } | ||
| } | ||
| } |
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44 changes: 44 additions & 0 deletions
44
core/src/main/scala/org/apache/spark/sql/delta/DeltaUDF.scala
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,44 @@ | ||
| /* | ||
| * Copyright (2021) The Delta Lake Project Authors. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.spark.sql.delta | ||
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| import org.apache.spark.sql.expressions.{SparkUserDefinedFunction, UserDefinedFunction} | ||
| import org.apache.spark.sql.functions.udf | ||
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| object DeltaUDF { | ||
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| /** | ||
| * A template for String => String udfs. It's used to create `SparkUserDefinedFunction` for | ||
| * String => String udfs without touching Scala Reflection to reduce the log contention. | ||
| */ | ||
| private lazy val stringStringUdfTemplate = | ||
| udf[String, String]((x: String) => x).asInstanceOf[SparkUserDefinedFunction] | ||
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| private def createUdfFromTemplate[R, T]( | ||
| template: SparkUserDefinedFunction, | ||
| f: T => R): UserDefinedFunction = { | ||
| template.copy( | ||
| f = f, | ||
| inputEncoders = template.inputEncoders.map(_.map(_.copy())), | ||
| outputEncoder = template.outputEncoder.map(_.copy()) | ||
| ) | ||
| } | ||
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| def stringStringUdf(f: String => String): UserDefinedFunction = { | ||
| udf[String, String](f) | ||
| } | ||
| } |
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