hequn8128 commented on a change in pull request #11444: [FLINK-16608][python] Support primitive data types for vectorized Python UDF URL: https://github.com/apache/flink/pull/11444#discussion_r396243233
########## File path: flink-python/src/main/java/org/apache/flink/table/runtime/arrow/writers/DateWriter.java ########## @@ -0,0 +1,48 @@ +/* + * 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.flink.table.runtime.arrow.writers; + +import org.apache.flink.annotation.Internal; +import org.apache.flink.table.runtime.functions.SqlDateTimeUtils; +import org.apache.flink.types.Row; + +import org.apache.arrow.vector.DateDayVector; + +import java.sql.Date; + +/** + * {@link ArrowFieldWriter} for Date. + */ +@Internal +public final class DateWriter extends ArrowFieldWriter<Row> { + + public DateWriter(DateDayVector dateDayVector) { + super(dateDayVector); + } + + @Override + public void doWrite(Row value, int ordinal) { + if (value.getField(ordinal) == null) { + ((DateDayVector) getValueVector()).setNull(getCount()); + } else { + ((DateDayVector) getValueVector()).setSafe( + getCount(), SqlDateTimeUtils.dateToInternal(((Date) value.getField(ordinal)))); Review comment: `DateWriter` is used for the old planner. It seems we can't use the blink planner class directly here, otherwise, Pyflink will depend on blink planner even it is configured to use the old planner. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
