fix: boost table score for exact match when searching table #1097
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czgu
reviewed
Dec 8, 2022
| if dot_index == -1: | ||
| return None, keywords | ||
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| return keywords[:dot_index], keywords[dot_index + 1 :] |
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this is autoformatted?
keywords[dot_index + 1:]
| if table_schema: | ||
| filters.append(["schema", table_schema]) | ||
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| should_clause = _match_table_phrase_queries(fields, keywords) |
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doesn't seem like should_clause need to be between the two if statements, can you move it to top?
czgu
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Dec 8, 2022
lilyli9
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Jan 26, 2023
### [0.45.1](https://github.expedia.biz/eg-analytics-platform/querybook/compare/0.45.0...0.45.1) (2022-12-09) ### Bug Fixes * boost table score for exact match when searching table (pinterest#1097) ([d75c1d1](https://github.expedia.biz/eg-analytics-platform/querybook/commit/d75c1d1d7089843465f6ecb0a6eb26b67b43c241)) * Keep table search default sort by name ([def3a0c](https://github.expedia.biz/eg-analytics-platform/querybook/commit/def3a0c9562c992d69db00185c7438d77980ebd2)) * notify_user need to accept user not uid (pinterest#1095) ([8b5b78f](https://github.expedia.biz/eg-analytics-platform/querybook/commit/8b5b78faa35bb2f6dfe7ebef7b3807af4befc3d3)) * remove python-dev from dockerfile build (pinterest#1098) ([12520df](https://github.expedia.biz/eg-analytics-platform/querybook/commit/12520df94c9a1543d9a6e726da4c009874ea8e5f)) * remove the edge when the node is deleted in dag exporter (pinterest#1089) ([d945a68](https://github.expedia.biz/eg-analytics-platform/querybook/commit/d945a68c92269a8f72a7b3331c2b186e2fcdb378)) * sidebar search should use relevance instead of alphabetical (pinterest#1096) ([a18cc93](https://github.expedia.biz/eg-analytics-platform/querybook/commit/a18cc93b49674b0d923ee32b724942cf194ad629))
rohan-sh1
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Feb 28, 2023
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The previous tuning of https://github.com/pinterest/querybook/pull/631/files will boost score for all phrase match, not limited to exact match. e.g.
query:
default.hello_worldcandidate 1:
default.hello_worldcandidate 2:
default.hello_world_v2both candidate 1 and 2 will have the phrase match, while candidate 1 is the exact match.
This change will boost another score for the exact match of candidate 1.