[PIXELS-580] implement using LSH index to perform approximate nearest neighbour search on vector column #88
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… support more than ten features
… work on a multinode environment
…and persist the mapping when JVM shuts down
bianhq
changed the title
bianhq
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May 11, 2024
| <scope>test</scope> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>com.amazonaws</groupId> |
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We should not use AWS Java SDK 1.x.
AWS Java SDK 2 is already included in the dependency.
| import software.amazon.awssdk.services.s3.model.PutObjectRequest; | ||
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| public class CachedLSHIndex { | ||
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We should use the Storage API to access the underlying storage system such as S3, instead of directly using the S3 client.
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(todo probably will merge the ExactNNS PR first. But the first ~10 commits of this PR now is about implementing ExactNNS)
Implement using LSH index to perform approximate nearest neighbour search on vector column. This consists of two functions for user to call:
select build_lsh(vec_col, numBits), where numBits lets user specify the number of bits in the hashed value. There are 2^numBits number of possible buckets that vec_col is divided into.
e.g. lsh_search_single_node(array[3.5, 3.5], 'euc', 'test_schema.test_arr_table.arr_col', 3)