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Caizhi Weng closed FLINK-15570. ------------------------------- Resolution: Duplicate > Support inserting into non-empty csv tables > ------------------------------------------- > > Key: FLINK-15570 > URL: https://issues.apache.org/jira/browse/FLINK-15570 > Project: Flink > Issue Type: Improvement > Components: Connectors / FileSystem, Formats (JSON, Avro, Parquet, > ORC, SequenceFile) > Reporter: Caizhi Weng > Priority: Major > Labels: Usability > > Currently we only support inserting into empty csv tables. It would be nice > for a new user, especially for users from traditional database, to try out > Flink if we support inserting into non-empty csv tables. > In other words, it would be nice if the following SQL produces a valid result: > {code:java} > CREATE TABLE myTable( > a INT, > b DOUBLE > ) WITH ( > 'connector.type' = 'filesystem', > 'connector.path' = an existing csv file, > 'format.type' = 'csv', > 'format.derive-schema' = 'true' > ); > SELECT * FROM myTable; // produces 3 rows > INSERT INTO myTable VALUES (4, 4.4); > SELECT * FROM myTable; // produces 4 rows{code} > We currently only have two write modes, namely NO_OVERWRITE and OVERWRITE. In > NO_OVERWRITE mode we can only insert into empty csv tables, while in > OVERWRITE mode inserting into a csv table will wipe all existing data in it > (in the above example, the last SELECT will produce only 1 instead of 4 rows) > which is really strange for a mere INSERT operation. > We need to add a new APPEND write mode, or change the behavior for OVERWRITE > mode to something like appending to files. Supporting specifying write mode > in the WITH clause is also needed. -- This message was sent by Atlassian Jira (v8.3.4#803005)