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Support to parse numbers in text-based input formats - #17082
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abhishekrb19 merged 25 commits intoSep 19, 2024
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…arsers. This helps samplers to detect numeric types for text-based formats like csv and tsv. These text-based formats by default parse numbers as strings. This change add a config flag to optionally parse numbers as numbers. Long for integers and Double for floating-point numbers. It falls back to string if it cannot parse. The web-console has some code in the load data flow to parse the sample of data returned by the Druid sampler to further inspect types so it can convert them to specific numeric types, if applicable. After this change, the web-console sampler/other applications can just rely on Druid to do it.
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| @Nullable | ||
| private static Object tryParseStringAsNumber(@Nullable final String input) | ||
| { | ||
| if (!NumberUtils.isNumber(input)) { |
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i wonder if this is worth looping over the string an extra time before we do try parse attempts, or if we should just start with trying to parse it as a long. I guess having this function call saves the double tryParse which uses a regex pattern.
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Yeah, I considered something like that. However, it adds an additional overhead of regex that you note for string inputs, so I kept the current approach, which is optimized for non-numeric strings
Conflict in sql/src/test/java/org/apache/druid/sql/calcite/IngestTableFunctionTest.java
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Text-based input formats like csv and tsv currently parse inputs only as strings, following the RFC4180Parser spec). To workaround this, the web-console and other tools need to further inspect the sample data returned to sample data returned by the Druid sampler API to parse them as numbers. This patch introduces a new optional config, tryParseNumbers, for the csv and tsv input formats. If enabled, any numbers present in the input will be parsed in the following manner -- long data type for integer types and double for floating-point numbers, and if parsing fails for whatever reason, the input is treated as a string. By default, this configuration is set to false, so numeric strings will be treated as strings.
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Text-based input formats like
csvandtsvcurrently parse inputs only as strings, following theRFC4180Parserspec).To workaround this, the web-console and other tools need to further inspect the sample data returned to sample data returned by the Druid sampler API to parse them as numbers. See here for the relevant web-console code.
Changes:
tryParseNumbersfor thecsvandtsvinput formats.Key classes to review:
ParserUtilsCsvInputFormatCsvParserDelimitedInputFormatDelimitedValueReaderRelease note:
Introduce a new optional config,
tryParseNumbers, for thecsvandtsvinput formats.If enabled, any numbers present in the input will be parsed in the following manner --longdata type for integer types anddoublefor floating-point numbers. By default, this configuration is set to false, so numeric strings will be treated as strings.