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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2019/11/01 02:02:04 UTC

[GitHub] [flink] docete commented on a change in pull request #10035: [FLINK-14080][table-planner-blink] Introduce DateTime as internal representation of TIMESTAMP_WITHOUT_TIME_ZONE

docete commented on a change in pull request #10035: [FLINK-14080][table-planner-blink] Introduce DateTime as internal representation of TIMESTAMP_WITHOUT_TIME_ZONE
URL: https://github.com/apache/flink/pull/10035#discussion_r341428358
 
 

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 File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/Timestamp.java
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 @@ -0,0 +1,179 @@
+/*
+ * 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.dataformat;
+
+import org.apache.flink.util.Preconditions;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.LocalTime;
+
+/**
+ * Immutable SQL TIMESTAMP type with nanosecond precision.
+ *
+ * <p>This class is composite of a millisecond and nanoOfMillisecond. The millisecond part
+ * holds the integral second and the milli-of-second. The nanoOfMillisecond holds the
+ * nano-of-millisecond, which should between 0 - 999_999.
+ */
+public class Timestamp implements Comparable<Timestamp> {
 
 Review comment:
   We can use Hive-style `DateTimeTZ` as TIMESTAMP_WITH_TIME_ZONE

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