YufeiLiu created FLINK-18070:
--------------------------------

             Summary: Time attribute been materialized after sub graph optimize
                 Key: FLINK-18070
                 URL: https://issues.apache.org/jira/browse/FLINK-18070
             Project: Flink
          Issue Type: Bug
          Components: Table SQL / Planner
    Affects Versions: 1.10.0
            Reporter: YufeiLiu


Hi, I want to use window aggregate after create temporary, and has multiple 
sinks. But throw exception:

{code:java}
java.lang.AssertionError: type mismatch:
ref:
TIME ATTRIBUTE(PROCTIME) NOT NULL
input:
TIMESTAMP(3) NOT NULL
{code}

I look into the optimizer logic, there is comment at 
{{CommonSubGraphBasedOptimizer}}:
"1. In general, for multi-sinks users tend to use VIEW which is a natural 
common sub-graph."

After sub graph optimize, time attribute from source have been convert to basic 
TIMESTAMP type according to {{FlinkRelTimeIndicatorProgram}}. But my create 
view sql is simple query, I think didn't need to materialized time attribute in 
theory.

Here is my code:

{code:java}
// connector.type COLLECTION is for debug use
tableEnv.sqlUpdate("CREATE TABLE source (\n" +
        "    `ts` AS PROCTIME(),\n" +
        "    `order_type` INT\n" +
        ") WITH (\n" +
        "    'connector.type' = 'COLLECTION',\n" +
        "    'format.type' = 'json'\n" +
        ")\n");
tableEnv.createTemporaryView("source_view", tableEnv.sqlQuery("SELECT * FROM 
source"));
tableEnv.sqlUpdate("CREATE TABLE sink (\n" +
        "    `result` BIGINT\n" +
        ") WITH (\n" +
        "    'connector.type' = 'COLLECTION',\n" +
        "    'format.type' = 'json'\n" +
        ")\n");
tableEnv.sqlUpdate("INSERT INTO sink \n" +
        "SELECT\n" +
        "    COUNT(1)\n" +
        "FROM\n" +
        "    `source_view`\n" +
        "WHERE\n" +
        "     `order_type` = 33\n" +
        "GROUP BY\n" +
        "    TUMBLE(`ts`, INTERVAL '5' SECOND)\n");
tableEnv.sqlUpdate("INSERT INTO sink \n" +
        "SELECT\n" +
        "    COUNT(1)\n" +
        "FROM\n" +
        "    `source_view`\n" +
        "WHERE\n" +
        "     `order_type` = 34\n" +
        "GROUP BY\n" +
        "    TUMBLE(`ts`, INTERVAL '5' SECOND)\n");
{code}






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