Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/19250#discussion_r143122895 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/TimestampTableTimeZone.scala --- @@ -0,0 +1,213 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You 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. + */ +package org.apache.spark.sql.execution.datasources + +import org.apache.spark.sql.{AnalysisException, SparkSession} +import org.apache.spark.sql.catalyst.TableIdentifier +import org.apache.spark.sql.catalyst.analysis.UnresolvedException +import org.apache.spark.sql.catalyst.catalog.CatalogTable +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project} +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.catalyst.util.DateTimeUtils +import org.apache.spark.sql.types.{StringType, TimestampType} + +/** + * Apply a correction to data loaded from, or saved to, Parquet, so that it timestamps can be read + * like TIMESTAMP WITHOUT TIMEZONE. This gives correct behavior if you process data with + * machines in different timezones, or if you access the data from multiple SQL engines. + */ +private[sql] case class TimestampTableTimeZone(sparkSession: SparkSession) --- End diff -- i need to take a look at this again to make sure i understand what's happening. conceptually what you are doing is pretty simple and it doesn't seem right it needs so many lines of code, but maybe i'm missing something.
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