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- Indexing is dramatically faster on slow storage — mechanical HDDs, network folders, and virtualized disks. The database no longer folds its write journal back into the main file thousands of times during a bulk index (that folding was ~95% of all disk activity); it now streams writes sequentially and folds them back in a few large, coalesced passes that run off the main thread. In a disk-throttled benchmark matching the reported hardware, a mid-size Java project went from over 25 minutes to under a minute, and there is no change on fast disks. Opt out with `CODEGRAPH_NO_WAL_DEFER=1`; tune the fold-back threshold with `CODEGRAPH_WAL_VALVE_MB`. (#1231)
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- Indexing is dramatically faster on slow storage — mechanical HDDs, network folders, and virtualized disks. The database no longer folds its write journal back into the main file thousands of times during a bulk index (that folding was ~95% of all disk activity); it now streams writes sequentially and folds them back in a few large, coalesced passes that run off the main thread. In a disk-throttled benchmark matching the reported hardware, a mid-size Java project went from over 25 minutes to under a minute, and there is no change on fast disks. Opt out with `CODEGRAPH_NO_WAL_DEFER=1`; tune the fold-back threshold with `CODEGRAPH_WAL_VALVE_MB`. (#1231)
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github-actions[bot]