Dmitry Yaraev created FLINK-30314: ------------------------------------- Summary: Unable to read all records from compressed line-delimited JSON files using Table API Key: FLINK-30314 URL: https://issues.apache.org/jira/browse/FLINK-30314 Project: Flink Issue Type: Bug Components: API / Core Affects Versions: 1.15.2 Reporter: Dmitry Yaraev
I am reading gzipped JSON line-delimited files using File Connector. For reading the files a new table is created with the following configuration: CREATE TEMPORARY TABLE `my_database`.`my_table` ( `my_field1` BIGINT, `my_field2` INT, `my_field3` VARCHAR(2147483647) ) WITH ( 'connector' = 'filesystem', 'path' = 'path-to-input-dir', 'format' = 'json', 'json.ignore-parse-errors' = 'false', 'json.fail-on-missing-field' = 'true' ) In the input directory I have two files: input-00000.json.gz and input-00001.json.gz. As it comes from the filenames, the files are compressed with GZIP. Each of the files contains 10 records. The issue is that only 2 records from each file are read (4 in total). If decompressed versions of the same data files are used, all 20 records are read. As far as I understand, that problem may be related to the fact that split length, which is used when the files are read, is in fact the length of a compressed file. So files are closed before all records are read from them because read position exceed split length. Probably, it makes sense to add a flag to FSDataInputStream, so we could identify if the file compressed or not. The flag can be set to true in InputStreamFSInputWrapper because it is used for wrapping compressed file streams. With such a flag it could be possible to rely only on the end of the stream because compressed files are not splittable. -- This message was sent by Atlassian Jira (v8.20.10#820010)