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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)
New CODEGRAPH_PARSE_TIMEOUT_MS environment variable to raise the per-file parse budget on unusually slow storage, the same way CODEGRAPH_PARSE_WORKERS already tunes the worker count. (#1231)
Fixes
Indexing on slow storage (mechanical HDDs, network folders) no longer collapses into false "parse timeout" failures. When disk writes stalled the coordinating thread, parses that had already finished — including empty files — were being misjudged as hung, their workers killed, and the files silently dropped from the index. A parse result is now judged by the worker's own clock, so a stalled coordinator accepts the finished result instead of killing the worker; only a genuinely hung parse is terminated (after a wider grace window). Files that do hit the timeout are retried at the end of indexing instead of being silently lost. Thanks @KnifeOfLife for the exceptional report. (#1231)
Parse workers now receive their grammar files from memory instead of each re-reading them from disk on spawn, eliminating a feedback loop on slow disks where every worker restart added more disk contention — and making worker restarts cheaper everywhere. (#1231)