fix: parallelize bitmap partition loading in IsIn expressions#5355
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Xuanwo merged 3 commits intolance-format:mainfrom Dec 1, 2025
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Prior to this commit an IsIn query on a bitmap index would load partitions in serial order. On high latency connections, queries with large IsIn lists can get very slow. This commit changes the partition loading to be parallelized over the number of CPUs, similar to btree.
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BubbleCal
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Nov 27, 2025
| let this = self.clone(); | ||
| async move { this.load_bitmap(&key, None).await } | ||
| })) | ||
| .buffered(get_num_compute_intensive_cpus()) |
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it looks like we don't care the order, buffered_unordered may offer better performance
jackye1995
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Jan 21, 2026
…format#5355) Prior to this commit an IsIn query on a bitmap index would load partitions in serial order. On high latency connections, queries with large IsIn lists can get very slow. This commit changes the partition loading to be parallelized over the number of CPUs, similar to btree.
wkalt
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Jan 26, 2026
…format#5355) Prior to this commit an IsIn query on a bitmap index would load partitions in serial order. On high latency connections, queries with large IsIn lists can get very slow. This commit changes the partition loading to be parallelized over the number of CPUs, similar to btree.
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Prior to this commit an IsIn query on a bitmap index would load partitions in serial order. On high latency connections, queries with large IsIn lists can get very slow. This commit changes the partition loading to be parallelized over the number of CPUs, similar to btree.