Use parallel consumers for bulk import indexing#1039
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henrik242 wants to merge 3 commits intokomoot:masterfrom
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Use parallel consumers for bulk import indexing#1039henrik242 wants to merge 3 commits intokomoot:masterfrom
henrik242 wants to merge 3 commits intokomoot:masterfrom
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Use 5 parallel consumer threads for OpenSearch bulk indexing, one per shard. Each thread has its own Importer instance with an independent BulkRequest buffer, sharing the thread-safe OpenSearchClient. Replaces the sentinel-based single-thread shutdown with a volatile flag + poll timeout for clean multi-thread termination. Benchmark (Belgium 11GB, 4.9M docs): 221s -> 166s (25% faster).
otbutz
reviewed
Mar 19, 2026
otbutz
suggested changes
Mar 19, 2026
close() replaces manual shutdown + awaitTermination (Java 19+). The poll timeout only matters for detecting the end of import, so 500ms is plenty.
otbutz
reviewed
Mar 19, 2026
Collaborator
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Last time I experimented with parallel threads, it resulted in quite noticable index bloat. So, let me test what this does to a planet. The other question I'd have: is there an official recommendation to have as many import threads as shards? Have you tried with more/less threads? |
Contributor
Author
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@lonvia I tried with various number of threads. Having threadnum=shardnum gave by far the best result. (I have also prepared another commit which depends on this, which gives another 8% improvement) |
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Use 5 parallel consumer threads for OpenSearch bulk indexing, one per shard. Each thread has its own Importer instance with an independent BulkRequest buffer, sharing the thread-safe OpenSearchClient.
Replaces the sentinel-based single-thread shutdown with a volatile flag + poll timeout for clean multi-thread termination.
Benchmark (Belgium 11GB, 4.9M docs): 221s -> 166s (25% faster).