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ASF GitHub Bot commented on DRILL-8340: --------------------------------------- jnturton commented on code in PR #2689: URL: https://github.com/apache/drill/pull/2689#discussion_r1003065011 ########## contrib/udfs/src/test/java/org/apache/drill/exec/udfs/TestDateUtils.java: ########## @@ -0,0 +1,77 @@ +/* + * 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.drill.exec.udfs; + +import org.junit.Test; + +import java.time.LocalDate; +import java.time.LocalDateTime; + +import static org.junit.Assert.assertEquals; + +public class TestDateUtils { + + @Test + public void testDateFromString() { + LocalDate testDate = LocalDate.of(2022, 3,14); + LocalDate badDate = LocalDate.of(1970, 1, 1); + assertEquals(testDate, DateUtilFunctions.getDateFromString("2022-03-14")); + assertEquals(testDate, DateUtilFunctions.getDateFromString("3/14/2022")); + assertEquals(testDate, DateUtilFunctions.getDateFromString("14/03/2022", true)); + assertEquals(testDate, DateUtilFunctions.getDateFromString("2022/3/14")); + + // Test bad dates + assertEquals(badDate, DateUtilFunctions.getDateFromString(null)); + assertEquals(badDate, DateUtilFunctions.getDateFromString("1975-13-56")); + assertEquals(badDate, DateUtilFunctions.getDateFromString("1975-1s")); Review Comment: Footnote, since this point comes up quite often. Those of us who've done data analytics with Pandas _did_ get used to floating point NaN being used as a "sentinel" for missing or invalid data but we should recognise this for what it was: a performance hack that entered Pandas from its Numpy foundation. It resulted in pain: automatic casting of ints to floats even though precision loss could happen because hardware and C integer types have no NaN value, special code to implement `skipna` for making NaNs behave like nulls rather according to the IEEE float rules, etc. And indeed, [here is Wes McKinney talking about moving away from that approach](https://wesmckinney.com/blog/bitmaps-vs-sentinel-values/). Here's a relevant excerpt for us, one hop over in the SQL world where null is a standardised first class citizen: > From the perspective of databases and data warehousing, reserving certain values to mark a null (or NA) is widely considered unacceptable. NaN is valid data, as is INT32_MIN and other common values used as sentinels. > Add Additional Date Manipulation Functions (Part 1) > --------------------------------------------------- > > Key: DRILL-8340 > URL: https://issues.apache.org/jira/browse/DRILL-8340 > Project: Apache Drill > Issue Type: Improvement > Components: Functions - Drill > Affects Versions: 1.20.2 > Reporter: Charles Givre > Assignee: Charles Givre > Priority: Major > Fix For: 2.0.0 > > > This PR adds several utility functions to facilitate working with dates and > times. These are modeled after the date/time functionality in MySQL. > Specifically this adds: > * YEARWEEK(<date>): Returns an int of year week. IE (202002) > * TIME_STAMP(<date string>): Converts most anything that looks like a date > string into a timestamp. -- This message was sent by Atlassian Jira (v8.20.10#820010)