async function peekFirstChunk(stream) {
DFA construction is O(2^m) in the worst case, where m is the size of the NFA. this is widely known in academic circles, but in practice, most people think well of DFAs because they are used in tools like grep that are optimized for the common case. but if you throw a large regex at them, they will blow up in size and become unusable. DFA matching is linear O(n) where n is the size of the input, and the constant is ~3-4 assembly instructions per character - faster than anything you could write by hand.
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There are two other ways to fix the issue. The first is to change the CSV delimiter. DMS lets you configure the delimiter on the S3 target endpoint via extra connection attributes. Swap the comma for a pipe or a tab (something that will never appear in your data) and embedded commas stop being a problem entirely. At the same time, it's hard to know which special characters may appear in the data.
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。关于这个话题，PDF资料提供了深入分析
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(maybe an extra argument for a filter?)