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Measure index hydration, MV first write and MV second write across buffer-pool arms (columnation, chunked resident, pool without lz4, pool with lz4 at 5% and 1% budget) on a staging region. Each arm owns one single-replica cluster per workload, with flags set by LaunchDarkly rules on the replica context's cluster name, so all arms run concurrently. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
`--parallel-trials` runs every trial of a phase at once, trial n on its own clusters suffixed `_t<n>`. Sequential runs keep using the bare arm clusters. The docs now point memory analysis at mz_cluster_replica_metrics_history and at extent bytes for telling the raw arm apart. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Also applies bin/fmt to run.py. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Add summarize.py, which reports hydration time, speedup against columnation, and peak RSS and swap per phase and arm. Document the commands for the measured configurations, the run hygiene they needed, and where the pool's cost shows up in CPU profiles. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
List the flag, value, and arms of every rule, and give step-by-step instructions for setting the rules up for another staging environment. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Adds the harness behind the October buffer-pool hydration measurements on staging.
run.pymeasures TPC-H index and materialized-view hydration per arm, where each arm is a set of LaunchDarkly rules keyed on the replica's cluster name.summarize.pyreports the hydration time, the speedup against columnation, and the peak RSS and swap per phase and arm.The README lists the arms, the commands for the fits-in-memory (SF30) and memory-pressure (SF150) configurations, the cleanup each run needs, and where the pool's cost shows up in CPU profiles.
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