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* churn(test): use redislabs/client-libs-test for testing This switches our testing infrastructure from redis/redis-stack to redislabs/client-libs-test Docker image across all packages. This change also updates the default Docker version from 7.4.0-v1 to 8.0-M04-pre. * churn(test): verify CONFIG SET / GET compatibility with Redis 8 - Add tests for Redis 8 search configuration settings - Deprecate Redis Search CONFIG commands in favor of standard CONFIG - Test read-only config restrictions for Redis 8 * churn(test): handle Redis 8 coordinate precision in GEOPOS - Update GEOPOS tests to handle increased precision in Redis 8 (17 decimal places vs 14) - Add precision-aware coordinate comparison helper - Add comprehensive test suite for coordinate comparison function * test(search): adapt SUGGET tests for Redis 8 empty results - Update tests to expect empty array ([]) instead of null for SUGGET variants - Affects sugGet, sugGetWithPayloads, sugGetWithScores, and sugGetWithScoresWithPayloads * test(search): support Redis 8 INFO indexes_all field - Add indexes_all field introduced in Redis 8 to index definition test * refactor!(search): simplify PROFILE commands to return raw response - BREAKING CHANGE: FT.PROFILE now returns raw response, letting users implement their own parsing * test: improve version-specific test coverage - Add `testWithClientIfVersionWithinRange` method to run tests for specific Redis versions - Refactor TestUtils to handle version comparisons more accurately - Update test utilities across Redis modules to run tests against multiple versions, and not against latest only
@redis/bloom
This package provides support for the RedisBloom module, which adds additional probabilistic data structures to Redis.
Should be used with redis/@redis/client.
⚠️ To use these extra commands, your Redis server must have the RedisBloom module installed.
RedisBloom provides the following probabilistic data structures:
- Bloom Filter: for checking set membership with a high degree of certainty.
- Cuckoo Filter: for checking set membership with a high degree of certainty.
- T-Digest: for estimating the quantiles of a stream of data.
- Top-K: Maintain a list of k most frequently seen items.
- Count-Min Sketch: Determine the frequency of events in a stream.
For some examples, see bloom-filter.js, cuckoo-filter.js, count-min-sketch.js and topk.js in the examples folder.