select * from aws_s3.query_export_to_s3(įor CSV, something like this should do the trick: select * from aws_s3. Just change the query, and the file extension, and leave it as text format. You could also do json_agg in postgres and dump as a single JSON file with objects in an array, it's up to you, really. So you can dump a whole table to a JSONL file, for example. ![]() ![]() JSONL is JSON, with a single JSON object per line: Here's an example query to create JSONL for you. Is it possible to query a table, similar to the above, that actually zips the csv file ON the Amazon PostgreSQL instance, prior to downloading and saving locally, thus reducing the 1 - 5 GB downloads to < 1 GB significantly reducing the download times Something like: copy (SELECT FROM table) TO csv. I just tested with 3.3.1, from September 17, 2020, and the issue isn't present, so, anyone who wants a way to dump data from Postgres to S3. I would not recommend using 3.1.0/11.6, however, there is a bug that causes data corruption issues after 10MB of data is exported to S3: This has been present since Aurora for Postgres since 3.1.0 which was released on Febru(I don't know why this URL says 2018): This can be done natively with a Postgres extension if you're using AWS Aurora Postgres 11.6 or above via: aws_s3.export_query_to_s3Įxporting data from an Aurora PostgreSQL DB cluster to Amazon S3 In real production cases, the table metadata is stored in data warehouses(e.g Hive, Postgres. ![]() In that S3 bucket, include a JSON file that describes the mapping between the data and the database tables of the data in those files. From previous doc, we have indexed tables from a csv files. To do this, provide access to an S3 bucket containing one or more data files. This is an old question, but it comes up when searching for "aws_s3.export_query_to_s3", even though there is no mention of it here, so I thought I'd throw another answer out there. AWS DMS (S3 as a source) AWS DMS can read data from source S3 buckets and load them into a target database.
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