kbendick commented on code in PR #5377: URL: https://github.com/apache/iceberg/pull/5377#discussion_r932748952
########## spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/functions/IcebergVersionFunction.java: ########## @@ -0,0 +1,88 @@ +/* + * 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.iceberg.spark.functions; + +import org.apache.iceberg.IcebergBuild; +import org.apache.spark.sql.catalyst.InternalRow; +import org.apache.spark.sql.connector.catalog.functions.BoundFunction; +import org.apache.spark.sql.connector.catalog.functions.ScalarFunction; +import org.apache.spark.sql.connector.catalog.functions.UnboundFunction; +import org.apache.spark.sql.types.DataType; +import org.apache.spark.sql.types.DataTypes; +import org.apache.spark.sql.types.StructType; +import org.apache.spark.unsafe.types.UTF8String; + +/** Implementation of {@link UnboundFunction} that prints the current Iceberg version in use. */ +public class IcebergVersionFunction implements UnboundFunction { + @Override + public BoundFunction bind(StructType inputType) { + if (inputType.fields().length > 0) { + throw new UnsupportedOperationException( + String.format( + "Invalid input type. Expected 0 fields but found %s", inputType.fields().length)); Review Comment: +1. I took this general check from a test in Spark, but field seems very weird without any expected input fields. It also seems Spark checks the inputTypes field length on your behalf (against all known implementations I guess. But the check still seems worthwhile as we can't be sure all Spark paths will do that for us as we've seem differences in v1 session catalog vs v2 session catalog vs v2 non-session catalog already. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
