The second, more thorough option is to stop using CSV altogether and switch to Parquet. Parquet is columnar and schema-aware. There's no delimiter character, so embedded commas, newlines, quotes — all of it just works. Redshift's COPY command supports Parquet natively and actually performs better loading it than CSV.
Additionally, it makes it easy to take the order of options into account or
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ANE_DITHR_TRIG — dithering trigger
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of “data centric” query compilation. So the ideas presented here are not at all new. But since I’m currently working on
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