This project is mirrored from https://github.com/cockroachdb/cockroach.
Pull mirroring updated .
- Feb 28, 2023
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craig[bot] authored
97419: ui: add missing props to storybook files r=ericharmeling a=ericharmeling This commit adds missing props to storybook files in cluster-ui. These missing props are causing the publish_cluster_ui GH action to fail. See https://github.com/cockroachdb/cockroach/actions/runs/4236959074/jobs/7362369310 . Interestingly, these missing props weren't caught by any essential CI tests... Epic: none Release note: None Co-authored-by:
Eric Harmeling <eric.harmeling@cockroachlabs.com>
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craig[bot] authored
97769: sql/schemachanger: version gate dropping constraints / functions r=fqazi a=fqazi Previously, it was possible in a mixed version state to cleanup constraints (foreign keys, unique without indexes, function bodies) when dropping columns. This would cause down level nodes to fail at planning seeing unsupported status transitions. To address this, this patch adds a version gate to prevent dropping any of these objects when cleaning up a column. Fixes: #97576 Release note: None Co-authored-by:
Faizan Qazi <faizan@cockroachlabs.com>
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craig[bot] authored
92966: builtins: add to_tsvector {phrase,plain,}to_tsquery r=jordanlewis a=jordanlewis Updates: https://github.com/cockroachdb/cockroach/issues/41288 Epic: CRDB-22357 Release note (sql change): add the to_tsvector, to_tsquery, phraseto_tsquery, and plainto_tsquery builtins which parse input documents into tsvectors and tsqueries respectively. Co-authored-by:
Jordan Lewis <jordanthelewis@gmail.com>
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craig[bot] authored
97696: opt: split disjunction in join conditions in more cases r=rytaft a=rytaft **sql: add session setting `optimizer_use_improved_split_disjunction_for_joins`** This commit adds a new session setting, `optimizer_use_improved_split_disjunction_for_joins`, which will be used in the next commit. Release note (sql change): added a new session setting, `optimizer_use_improved_split_disjunction_for_joins`, which enables the optimizer to split disjunctions (`OR` expressions) in more cases in join conditions by building a `UNION` of two join expressions. If this setting is true, all disjunctions in inner, semi, and anti joins will be split. If false, only disjunctions potentially containing an equijoin condition will be split. **opt: split disjunction in join conditions in more cases** Prior to this commit, when a join condition included a disjunction (e.g. `a OR b`), in some cases we could remove the disjunction by splitting the join into a `UNION` of joins to create a more efficient plan. However, we were only performing this transformation if at least one side of the `OR` predicate contained an equijoin predicate (e.g., `t1.col1 = t2.col1`). There were other cases where we could have improved the plan by splitting the disjunction, but we did not do so. This commit improves our ability to optimize joins with disjunctions in the join condition when there is the possibility to push one or both sides of the disjunction below the join. This commit removes the requirement that the disjunction contains an equijoin predicate, and instead splits the disjunction in all cases where it is possible to do so, thus enabling more optimization opportunities. Fixes #97695 Release note (performance improvement): if the session setting `optimizer_use_improved_split_disjunction_for_joins` is true, the optimizer now creates a better query plan in some cases where an inner, semi, or anti join contains a join predicate with a disjuction (`OR` condition). Co-authored-by:
Rebecca Taft <becca@cockroachlabs.com>
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craig[bot] authored
97748: sql/schemachanger/scbuild: properly rewrite exprs in partial predicates r=ajwerner a=ajwerner Before this change we were throwing away some standard rewriting we want to do to table expressions for the case of partial index predicates. This resulted in badness when attempting to backfill the index. No release note because this feature is new in 23.1 Fixes: #97551 Release note: None Co-authored-by:
ajwerner <awerner32@gmail.com>
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Faizan Qazi authored
Previously, it was possible in a mixed version state to cleanup constraints (foreign keys, unique without indexes, function bodies) when dropping columns. This would cause down level nodes to fail at planning seeing unsupported status transitions. To address this, this patch adds a version gate to prevent dropping any of these objects when cleaning up a column. Fixes: #97576 Release note: None
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ajwerner authored
Before this change we were throwing away some standard rewriting we want to do to table expressions for the case of partial index predicates. This resulted in badness when attempting to backfill the index. No release note because this feature is new in 23.1 Fixes: #97551 Release note: None
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Rebecca Taft authored
Prior to this commit, when a join condition included a disjunction (e.g. a OR b), in some cases we could remove the disjunction by splitting the join into a UNION of joins to create a more efficient plan. However, we were only performing this transformation if at least one side of the OR predicate contained an equijoin predicate (e.g., t1.col1 = t2.col1). There were other cases where we could have improved the plan by splitting the disjunction, but we did not do so. This commit improves our ability to optimize joins with disjunctions in the join condition when there is the possibility to push one or both sides of the disjunction below the join. This commit removes the requirement that the disjunction contains an equijoin predicate, and instead splits the disjunction in all cases where it is possible to do so, thus enabling more optimization opportunities. Fixes #97695 Release note (performance improvement): if the session setting optimizer_use_improved_split_disjunction_for_joins is true, the optimizer now creates a better query plan in some cases where an inner, semi, or anti join contains a join predicate with a disjuction (OR condition).
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Rebecca Taft authored
This commit adds a new session setting, optimizer_use_improved_split_disjunction_for_joins, which will be used in the next commit. Release note (sql change): added a new session setting, optimizer_use_improved_split_disjunction_for_joins, which enables the optimizer to split disjunctions (OR expressions) in more cases in join conditions by building a UNION of two join expressions. If this setting is true, all disjunctions in inner, semi, and anti joins will be split. If false, only disjunctions potentially containing an equijoin condition will be split.
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craig[bot] authored
97631: sql: create new slice when removing backreference items r=chengxiong-ruan a=chengxiong-ruan Fixes: #97546 Fixes: #96368 Previously we reused the underlying slots of the `DependedOnBy` slice when removing items from it. This is problematic because we normally have to iterate the same slice to figure out what to drop. Iterating on a slice which is rewritten can be problematic unless we always know how to smartly move the cursor backward. This commit changes it to just create a new slice to avoid the hazzard. Release note: None. Co-authored-by:
Chengxiong Ruan <chengxiongruan@gmail.com>
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craig[bot] authored
97775: execbuilder: de-flake a recently introduced test r=yuzefovich a=yuzefovich I'm not able to reproduce the flake under stress, but for some reason it appears that the stats on a system table are collected even though we disable the auto stats collection. Those stats rarely show a different `estimated row count`, so this commit skips that line from the output of the EXPLAIN. This is acceptable given the goal of the test is ensuring that a secondary index is used for the scan. Fixes: #97771. Release note: None Co-authored-by:
Yahor Yuzefovich <yahor@cockroachlabs.com>
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Chengxiong Ruan authored
Fixes: #97546 Fixes: #96368 We are reusing the underlying slots of the `DependedOnBy` slice when removing items from it. This is problematic because we normally have to iterate the same slice to figure out what to drop. Iterating on a slice which is rewritten can be problematic unless we always know how to smartly move the cursor backward. This commit remove such kind of hazard by collecting descriptor IDs to drop before actually dropping everything. Releaste note (sql change): This commit fixes two bugs prevent users from doing `DROP COLUMN CASCADE` and `DROP INDEX CASCADE` when dependecies on the Table from Views and Functions get complex. They all happened When a table is referenced multiple times in more than one Views and Functions. Release note: None.
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craig[bot] authored
97760: sql: remove CREATE FUNCTION 22.2 version gate r=chengxiong-ruan a=chengxiong-ruan Informs: #96763, #96751 Release note: None. Co-authored-by:
Chengxiong Ruan <chengxiongruan@gmail.com>
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Yahor Yuzefovich authored
I'm not able to reproduce the flake under stress, but for some reason it appears that the stats on a system table are collected even though we disable the auto stats collection. Those stats rarely show a different `estimated row count`, so this commit skips that line from the output of the EXPLAIN. This is acceptable given the goal of the test is ensuring that a secondary index is used for the scan. Release note: None
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craig[bot] authored
97750: colexec: fix incorrect accounting when resetting datum-backed vectors r=yuzefovich a=yuzefovich This commit reverts a couple of other commits: - "colexec: fix a "fake" memory accounting leak for intra-query period" (https://github.com/cockroachdb/cockroach/commit/72e83fee28f790420c2c96a707ee88eed58618fa) - "colexec: deeply reset datum-backed vectors in ResetInternalBatch" (https://github.com/cockroachdb/cockroach/commit/cb93c302de1bab49c8b3051ad96cf859bd91036f ) since they introduced incorrect memory accounting for the datum-backed vectors. Those two commits together solved another issue where we would keep no-longer-needed datums live for longer than necessary (until they are overwritten in the datum-backed vector) by eagerly nil-ing them out when resetting the whole batch. This required introducing some careful adjustment to the memory accounting in order to keep the accounting up to date. However, that logic turned out to be faulty; in particular, it became possible to register the allocations of the datum-backed vectors with one account but then attempt to release some of those allocations from another. If those releases happen enough times, it'd put the account in debt which would trigger an internal error (or a crash in test builds). Such a scenario can occur because we have a couple of utility operators that append a vector to a batch owned by another operator. When that other operator resets its batch, the appended-by-utility-operator vector is also reset, and the memory usage of the freed datum would be deregistered from the wrong account. Tracking precisely which vector is owned by the owner of the batch vs appended by another operator can be cumbersome and error-prone, so this commit instead of introducing this tracking removes the resetting behavior of the datum-backed vectors. This should be bullet-proof while only increasing slightly the amount of time references to datums are kept live. Fixes: #97603. Release note (bug fix): CockroachDB could previously encounter an internal error "no bytes in account to release ..." in rare cases and this is now fixed. The bug was introduced in 22.1. Co-authored-by:
Yahor Yuzefovich <yahor@cockroachlabs.com>
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Yahor Yuzefovich authored
This commit reverts a couple of other commits: - "colexec: fix a "fake" memory accounting leak for intra-query period" (72e83fee) - "colexec: deeply reset datum-backed vectors in ResetInternalBatch" (cb93c302) since they introduced incorrect memory accounting for the datum-backed vectors. Those two commits together solved another issue where we would keep no-longer-needed datums live for longer than necessary (until they are overwritten in the datum-backed vector) by eagerly nil-ing them out when resetting the whole batch. This required introducing some careful adjustment to the memory accounting in order to keep the accounting up to date. However, that logic turned out to be faulty; in particular, it became possible to register the allocations of the datum-backed vectors with one account but then attempt to release some of those allocations from another. If those releases happen enough times, it'd put the account in debt which would trigger an internal error (or a crash in test builds). Such a scenario can occur because we have a couple of utility operators that append a vector to a batch owned by another operator. When that other operator resets its batch, the appended-by-utility-operator vector is also reset, and the memory usage of the freed datum would be deregistered from the wrong account. Tracking precisely which vector is owned by the owner of the batch vs appended by another operator can be cumbersome and error-prone, so this commit instead of introducing this tracking removes the resetting behavior of the datum-backed vectors. This should be bullet-proof while only increasing slightly the amount of time references to datums are kept live. Release note (bug fix): CockroachDB could previously encounter an internal error "no bytes in account to release ..." in rare cases and this is now fixed. The bug was introduced in 22.1.
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craig[bot] authored
97213: cli: add debug command for declarative schema changer rules r=fqazi a=fqazi Previously, we had no way of dumping out the supported declarative schema changer rules on a given cockroach binary. This was inadequate because to support mixed version states we need to maintain the current and previous set of rules, but have no way of asserting the two are equivalent. This patch adds a debug command that will enable us to add this type of comparison using a future roachtest. Epic: none Release note: None Co-authored-by:
Faizan Qazi <faizan@cockroachlabs.com>
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Faizan Qazi authored
Previously, we had no way of dumping out the supported declarative schema changer rules on a given cockroach binary. This was inadequate because to support mixed version states we need to maintain the current and previous set of rules, but have no way of asserting the two are equivalent. This patch adds a debug command that will enable us to add this type of comparison using a future roachtest. Epic: none Release note: None
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- Feb 27, 2023
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craig[bot] authored
96407: streamingest: allow changing the cutover time in ALTER TENANT r=lidorcarmel a=lidorcarmel Currently the cutover timestamp cannot be updated, even if it was set to be far in the future. This commit allows updating the cutover timestamp as long as the cutover process did not start. Fixes: #95899 Epic: CRDB-18752 Release note: None Co-authored-by:
Lidor Carmel <lidor@cockroachlabs.com>
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Lidor Carmel authored
Currently the cutover timestamp cannot be updated, even if it was set to be far in the future. This commit allows updating the cutover timestamp as long as the cutover process did not start. Fixes: #95899 Epic: CRDB-18752 Release note: None
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craig[bot] authored
97466: c2c: set replication_lag metric to 0 before high water mark is set r=stevendanna a=msbutler Fixes #97224 Release note: None Co-authored-by:
Michael Butler <butler@cockroachlabs.com>
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craig[bot] authored
97465: c2c: gather perf metrics from prometheus r=stevendanna a=msbutler c2c roachtest performance metrics are now gathered by a prom/grafana instance running locally on the roachprod cluster. This change allows us to gather and process any metrics exposed to the crdb prom endpoint. Specifically, we now gather: `capacity_used`, `replication_logical_bytes`, `replication_sst_bytes` at various points during the c2c roachtest, allowing us to measure: - Initial Scan Throughput: initial scan size / initial scan duration - Workload Throughput: data ingested during workload / workload duration - Cutover Throughput: (data ingested between cutover time and cutover cmd) / (cutover process duration) where the size of these operations can be measured as either physical replicated bytes, logical ingested bytes, or physical ingested bytes on the source cluster. This patch also fixes a recent bug which mislabeled src cluster throughput as initial scan throughput. Informs #89176 Release note: None 97505: server, ui: remove interpreted jobs retrying status r=xinhaoz a=xinhaoz This commit removes the 'Retrying' status from the jobs UX. Previously, we were interpolating this status from the running status. This just added confusion and incorectness to the status of the job being displayed. The status being surfaced now aligns directly with what is shown in the `crdb_internal.jobs` table. Some missing job statuses were also added as request options to the 'Status' dropdown, including: - Pause Requested - Cancel Requested - Revert Failed Fixes: https://github.com/cockroachdb/cockroach/issues/95712 Release note (ui change): Retrying is no longer a status shown in the jobs page. <img width="1326" alt="image" src="https://user-images.githubusercontent.com/20136951/220738075-733b0cc8-9f77-4ace-a944-3791ff159c62.png "> Co-authored-by:
Michael Butler <butler@cockroachlabs.com> Co-authored-by:
Xin Hao Zhang <xzhang@cockroachlabs.com>
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Chengxiong Ruan authored
Informs: #96763, #96751 Release note: None.
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craig[bot] authored
97532: storepool: consider stores suspect on join r=kvoli a=andrewbaptist Previously, stores would not be considered suspect when joining the cluster. This patch updates logic so that stores are now considered suspect on joining the cluster (rejoining or startup). Release note (ops change): Stores will now be considered suspect when joining the cluster. Epic: none 97634: sql: dedupe on search path schema when resolving functions r=chengxiong-ruan a=chengxiong-ruan Fixes: #97130 Previously, if there are duplicate schemas in current searcth path function resolution would fail due to ambiguity because a UDF was seen twice. This commit adds logic to dedupe on the search path schema. Release note: None Co-authored-by:
Andrew Baptist <baptist@cockroachlabs.com> Co-authored-by:
Chengxiong Ruan <chengxiongruan@gmail.com>
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Chengxiong Ruan authored
Previously, if there are duplicate schemas in current searcth path function resolution would fail due to ambiguity because a UDF was seen twice. This commit adds an extra field to `SearchPath` and `SearchPathIter` so that we can dedupe while iterate through schemas on paths. Release note: None
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craig[bot] authored
97579: schemachanger: Support dropping column with referenced constraints r=Xiang-Gu a=Xiang-Gu This PR enables dropping columns with referenced constraints in the declarative schema changer. As a prerequisite step, we also added support to dropping a UWI constraint when there is a dependent FK constraint in both the legacy and declarative schema changer (commit 2). Commit 2 Fixes: #96787, Fixes: #97538 Commit 3 Fixes: #96727 Epic: None 97708: backupccl: move vmodule read out of loop r=dt a=dt Spotted in profiling by `@lidorcarmel.` Release note: none. Epic: none. Co-authored-by:
Xiang Gu <xiang@cockroachlabs.com> Co-authored-by:
David Taylor <tinystatemachine@gmail.com>
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craig[bot] authored
97715: changefeedccl: Lower memory allowance per changefeed r=miretskiy a=miretskiy Lower memory allowance to 128MB in `admission-control/elastic-cdc` since we start 10 changefeeds, and those could use up too much memory from the sql monitor, resulting in query failures. Fixes #96542 Release note: None Co-authored-by:
Yevgeniy Miretskiy <yevgeniy@cockroachlabs.com>
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Michael Butler authored
Epic: none Release note: none
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Michael Butler authored
This patch streamlines how we remove ru limiting for roachtests that use tenants. For the c2c tests specifically, we know remove the limits on the dst cluster tenant as soon as the replication stream begins. Release note: None
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Michael Butler authored
c2c roachtest performance metrics are now gathered by a prom/grafana instance running locally on the roachprod cluster. This change allows us to gather and process any metrics exposed to the crdb prom endpoint. Specifically, we now gather: `capacity_used`, `replication_logical_bytes`, `replication_sst_bytes` at various points during the c2c roachtest, allowing us to measure: - Initial Scan Throughput: initial scan size / initial scan duration - Workload Throughput: data ingested during workload / workload duration - Cutover Throughput: (data ingested between cutover time and cutover cmd) / (cutover process duration) where the size of these operations can be measured as either physical replicated bytes, logical ingested bytes, or physical ingested bytes on the source cluster. This patch also fixes a recent bug which mislabeled src cluster throughput as initial scan throughput. Epic: None
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Michael Butler authored
Fixes #97224 Release note: None
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Xiang Gu authored
Previously, we fallback to legacy schema changer if we drop a column that is referenced in a constraint. This commit enables this behavior in the declarative schema changer.
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Xiang Gu authored
Previously, when a UWI constraint is used to serve an inbound FK and we drop the UWI constraint, the FK is not dropped. This causes a corrupt state where a FK constraint exists but the referenced table does not ensure uniqueness on the referenced columns. This commit fixes this issue in both legacy and declarative schema changer.
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craig[bot] authored
97729: logictest: disable auto stats collection on system tables r=yuzefovich a=yuzefovich This commit makes it so that we disable auto stats collection on the system tables in all logic tests in order to make them deterministic. We already do this for all non-system tables. Fixes: #97704. Release note: None 97730: kv: skip TestBackoffOnRangefeedFailure r=adityamaru a=rharding6373 Skipping flaky test. Informs: #97725 Epic: None Release note: None Co-authored-by:
Yahor Yuzefovich <yahor@cockroachlabs.com> Co-authored-by:
rharding6373 <rharding6373@users.noreply.github.com>
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craig[bot] authored
97668: storage: reduce intent interleaving allocations r=sumeerbhola a=jbowens When seeking to a specific version, the intent interleaving iterator may need to construct the immediate successor next key to serve as a seek key within the lock table. The roachpb.NextKey method avoids allocations when its receiver's underlying slice already contains a trailing zero byte after the key. In all other cases, it must allocate and copy the receiver slice. In the context of the intent interleaving iterator, this is unnecessary. The intent interleaving iterator only temporarily needs to compute the next key for the purpose of constructing a lock-table seek key. Also, the intent interleaving iterator has a buffer available for constructing intent seek keys. This commit adds a new keys.LockTableSingleNextKey function that behaves identically to `keys.LockTableSingleKey(key.Next(), buf)` but avoids the intermediary step of materializing the next key. MVCC garbage collection may seek to a specific version, so the removal of this allocation and key copy is visible on the MVCCGarbageCollect microbenchmark. ``` MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 1.070 ± ∞ ¹ 1.070 ± 1% ~ (p=0.768 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 1.097 ± 3% 1.120 ± ∞ ¹ ~ (p=0.286 n=6+1) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 4.974µ ± ∞ ¹ 4.790µ ± 1% -3.70% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 5.377µ ± ∞ ¹ 4.882µ ± 2% -9.22% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 7.648µ ± ∞ ¹ 7.399µ ± 1% -3.26% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 1.090 ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 8.615µ ± ∞ ¹ 8.271µ ± 2% -4.00% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 8.249µ ± ∞ ¹ 7.925µ ± 2% -3.93% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 1.021 ± 48% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 9.208µ ± ∞ ¹ 8.860µ ± 1% -3.78% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 1.023 ± 50% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 8.699µ ± ∞ ¹ 8.389µ ± 3% -3.57% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 9.266µ ± ∞ ¹ 8.528µ ± 5% -7.96% (p=0.013 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 1.112 ± 3% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 13.02µ ± ∞ ¹ 12.15µ ± 2% -6.70% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 1.096 ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 13.49µ ± ∞ ¹ 12.76µ ± 3% -5.38% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 48.72µ ± ∞ ¹ 47.08µ ± 2% -3.37% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 1.125 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 57.19µ ± ∞ ¹ 54.01µ ± 2% -5.56% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 13.97µ ± ∞ ¹ 13.21µ ± 2% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 1.124 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 15.22µ ± ∞ ¹ 14.67µ ± 1% -3.58% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 18.44µ ± ∞ ¹ 17.91µ ± 2% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 1.077 ± 9% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 21.51µ ± ∞ ¹ 20.70µ ± 1% -3.76% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 1.058 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 56.21µ ± ∞ ¹ 53.02µ ± 2% -5.67% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 1.161 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 66.05µ ± ∞ ¹ 62.73µ ± 2% -5.04% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 1.155 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 19.37µ ± ∞ ¹ 18.38µ ± 2% -5.12% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 21.58µ ± ∞ ¹ 21.12µ ± 1% -2.14% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 24.83µ ± ∞ ¹ 23.84µ ± 2% -3.96% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 1.143 ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 29.28µ ± ∞ ¹ 28.70µ ± 1% -2.00% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 62.35µ ± ∞ ¹ 58.89µ ± 1% -5.54% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 1.188 ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 1.057 ± 5% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 76.47µ ± ∞ ¹ 72.01µ ± 1% -5.84% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 1.075 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 172.4µ ± ∞ ¹ 169.8µ ± 1% -1.51% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 1.172 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 215.9µ ± ∞ ¹ 211.7µ ± 1% -1.94% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 208.5µ ± ∞ ¹ 202.8µ ± 1% -2.69% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 1.148 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 271.8µ ± ∞ ¹ 266.5µ ± 1% -1.94% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 249.6µ ± ∞ ¹ 243.7µ ± 1% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 1.137 ± 11% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 331.4µ ± ∞ ¹ 329.1µ ± 0% -0.69% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 332.7µ ± ∞ ¹ 329.6µ ± 2% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 417.0µ ± ∞ ¹ 411.7µ ± 1% -1.26% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 1.098 ± 12% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 396.5µ ± ∞ ¹ 393.7µ ± 0% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 526.4µ ± ∞ ¹ 523.8µ ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 439.7µ ± ∞ ¹ 434.0µ ± 2% -1.29% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 597.9µ ± ∞ ¹ 592.1µ ± 1% -0.98% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 331.7µ ± ∞ ¹ 327.5µ ± 1% -1.25% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 415.3µ ± ∞ ¹ 413.1µ ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 397.1µ ± ∞ ¹ 392.4µ ± 1% -1.17% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 528.8µ ± ∞ ¹ 520.0µ ± 1% -1.66% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 440.6µ ± ∞ ¹ 433.9µ ± 0% -1.52% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 596.3µ ± ∞ ¹ 593.4µ ± 0% -0.48% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 1.754m ± ∞ ¹ 1.762m ± 1% ~ (p=0.254 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 1.858m ± ∞ ¹ 1.826m ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 2.510m ± ∞ ¹ 2.516m ± 2% ~ (p=0.513 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 2.714m ± ∞ ¹ 2.723m ± 1% ~ (p=0.371 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 2.563m ± ∞ ¹ 2.545m ± 2% ~ (p=0.679 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 2.713m ± ∞ ¹ 2.758m ± 1% +1.67% (p=0.040 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 87.58m ± ∞ ¹ 89.34m ± 181% ~ (p=0.513 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 503.6m ± ∞ ¹ 333.8m ± 204% ~ (p=1.000 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 1.040 ± ∞ ¹ 1.065 ± 2% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 1.049 ± ∞ ¹ 1.064 ± 1% ~ (p=0.075 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 1.062 ± ∞ ¹ 1.065 ± 2% ~ (p=0.371 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 1.064 ± ∞ ¹ 1.068 ± 4% ~ (p=1.000 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 341.7m ± ∞ ¹ 420.4m ± 40% ~ (p=0.953 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 1003.3m ± ∞ ¹ 257.5m ± 96% -74.33% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 1.053 ± ∞ ¹ 1.071 ± 3% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 1.054 ± ∞ ¹ 1.059 ± 1% ~ (p=0.859 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 1.074 ± ∞ ¹ 1.074 ± 1% ~ (p=0.953 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 1.096 ± ∞ ¹ 1.086 ± 4% ~ (p=0.206 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 1011.4m ± ∞ ¹ 506.2m ± 59% -49.95% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 510.0m ± ∞ ¹ 505.9m ± 34% ~ (p=0.254 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 1.082 ± ∞ ¹ 1.066 ± 2% ~ (p=0.129 n=5+10) │ allocs/op │ allocs/op vs base │ MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 4.662k ± ∞ ¹ 3.618k ± 1% -22.39% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 12.95k ± 7% 11.40k ± ∞ ¹ ~ (p=0.286 n=6+1) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 8.000 ± ∞ ¹ 8.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 8.000 ± ∞ ¹ 8.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 10.00 ± ∞ ¹ 10.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 13.12k ± 5% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 14.00 ± ∞ ¹ 14.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 10.00 ± ∞ ¹ 10.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 4.421k ± 37% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 14.00 ± ∞ ¹ 14.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 4.427k ± 37% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 4.663k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 4.663k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 12.97k ± 3% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 12.70k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 4.519k ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 4.510k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 4.738k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 4.729k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 13.00k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 12.92k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 3.466k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 3.514k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 3.700k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 14.00 ± 0% -6.67% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 3.704k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 18.00 ± 0% -5.26% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 24.00 ± ∞ ¹ 23.00 ± 0% -4.17% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 11.69k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 28.00 ± ∞ ¹ 27.00 ± 0% -3.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 11.78k ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 14.00 ± 0% -6.67% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 18.00 ± 0% -5.26% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 28.00 ± ∞ ¹ 27.00 ± 0% -3.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 9.000 ± ∞ ¹ 9.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 9.000 ± ∞ ¹ 9.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 11.00 ± ∞ ¹ 11.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 15.00 ± ∞ ¹ 15.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 19.00 ± ∞ ¹ 19.00 ± 0% ~ (p=0.527 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 24.00 ± ∞ ¹ 24.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 12.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 12.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 15.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 19.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 16.00 ± ∞ ¹ 16.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 23.00 ± ∞ ¹ 23.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 1328.0 ± ∞ ¹ 317.0 ± 174% -76.13% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 2.742k ± ∞ ¹ 1.137k ± 203% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 4.652k ± ∞ ¹ 3.616k ± 1% -22.27% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 4.650k ± ∞ ¹ 3.618k ± 1% -22.19% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 13.09k ± ∞ ¹ 11.97k ± 6% -8.62% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 13.22k ± ∞ ¹ 12.09k ± 3% -8.56% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 2.182k ± ∞ ¹ 1.447k ± 39% -33.68% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 4422.0 ± ∞ ¹ 872.0 ± 98% -80.28% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 4.630k ± ∞ ¹ 3.611k ± 1% -22.02% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 4.638k ± ∞ ¹ 3.634k ± 1% -21.66% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 12.80k ± ∞ ¹ 11.94k ± 4% -6.67% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 12.75k ± ∞ ¹ 11.97k ± 3% -6.08% (p=0.013 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 4.441k ± ∞ ¹ 1.722k ± 59% -61.21% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 2.755k ± ∞ ¹ 1.720k ± 33% -37.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 4.663k ± ∞ ¹ 3.616k ± 1% -22.44% (p=0.001 n=5+10) ``` Informs #97570. Epic: None Release note: None Co-authored-by:
Jackson Owens <jackson@cockroachlabs.com>
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rharding6373 authored
Skipping flaky test. Informs: #97725 Epic: None Release note: None
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craig[bot] authored
97222: storage: randomly mangle range key buffers in test r=erikgrinaker a=jbowens Randomly mangle buffers for range key bounds, suffixes and values when the iterator becomes invalid or RangeKeyChanged(). Additionally, fix a bug in pebbleMVCCScanner surfaced by this mangling, whereby the scanner could step an iterator positioned at a bare range key into an exhausted position but continue to make use of pointers to the previous iterator position's range key buffers. Epic: None Release note: None Co-authored-by:
Jackson Owens <jackson@cockroachlabs.com>
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Yahor Yuzefovich authored
This commit makes it so that we disable auto stats collection on the system tables in all logic tests in order to make them deterministic. We already do this for all non-system tables. Release note: None
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Andrew Baptist authored
Previously, nodes that failed to heartbeat for longer than the lease expiration interval (currently 6 seconds) would only be considered suspect when re-joining the cluster within 5 minutes. After 5 minutes the store would be marked as dead, and if a store rejoins after it is dead it could immediately begin accepting leases. This caused problems since there is often a lot of recovery work to do when a node rejoins. This change always marks a node that rejoins a cluster as suspect. Release note (ops change): Nodes will now be considered suspect when re-joining a cluster and not accept lease transfers for one server.time_after_store_suspect window, which defaults to 30s. Epic: none
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Jackson Owens authored
When seeking to a specific version, the intent interleaving iterator may need to construct the immediate successor next key to serve as a seek key within the lock table. The roachpb.NextKey method avoids allocations when its receiver's underlying slice already contains a trailing zero byte after the key. In all other cases, it must allocate and copy the receiver slice. In the context of the intent interleaving iterator, this is unnecessary. The intent interleaving iterator only temporarily needs to compute the next key for the purpose of constructing a lock-table seek key. Also, the intent interleaving iterator has a buffer available for constructing intent seek keys. This commit adds a new keys.LockTableSingleNextKey function that behaves identically to `keys.LockTableSingleKey(key.Next(), buf)` but avoids the intermediary step of materializing the next key. MVCC garbage collection frequently seeks to a specific version, so the removal of this allocation and key copy is visible on the MVCCGarbageCollect microbenchmark. ``` MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 1.070 ± ∞ ¹ 1.070 ± 1% ~ (p=0.768 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 1.097 ± 3% 1.120 ± ∞ ¹ ~ (p=0.286 n=6+1) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 4.974µ ± ∞ ¹ 4.790µ ± 1% -3.70% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 5.377µ ± ∞ ¹ 4.882µ ± 2% -9.22% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 7.648µ ± ∞ ¹ 7.399µ ± 1% -3.26% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 1.090 ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 8.615µ ± ∞ ¹ 8.271µ ± 2% -4.00% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 8.249µ ± ∞ ¹ 7.925µ ± 2% -3.93% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 1.021 ± 48% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 9.208µ ± ∞ ¹ 8.860µ ± 1% -3.78% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 1.023 ± 50% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 8.699µ ± ∞ ¹ 8.389µ ± 3% -3.57% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 9.266µ ± ∞ ¹ 8.528µ ± 5% -7.96% (p=0.013 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 1.112 ± 3% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 13.02µ ± ∞ ¹ 12.15µ ± 2% -6.70% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 1.096 ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 13.49µ ± ∞ ¹ 12.76µ ± 3% -5.38% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 48.72µ ± ∞ ¹ 47.08µ ± 2% -3.37% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 1.125 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 57.19µ ± ∞ ¹ 54.01µ ± 2% -5.56% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 13.97µ ± ∞ ¹ 13.21µ ± 2% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 1.124 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 15.22µ ± ∞ ¹ 14.67µ ± 1% -3.58% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 18.44µ ± ∞ ¹ 17.91µ ± 2% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 1.077 ± 9% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 21.51µ ± ∞ ¹ 20.70µ ± 1% -3.76% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 1.058 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 56.21µ ± ∞ ¹ 53.02µ ± 2% -5.67% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 1.161 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 66.05µ ± ∞ ¹ 62.73µ ± 2% -5.04% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 1.155 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 19.37µ ± ∞ ¹ 18.38µ ± 2% -5.12% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 21.58µ ± ∞ ¹ 21.12µ ± 1% -2.14% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 24.83µ ± ∞ ¹ 23.84µ ± 2% -3.96% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 1.143 ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 29.28µ ± ∞ ¹ 28.70µ ± 1% -2.00% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 62.35µ ± ∞ ¹ 58.89µ ± 1% -5.54% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 1.188 ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 1.057 ± 5% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 76.47µ ± ∞ ¹ 72.01µ ± 1% -5.84% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 1.075 ± 4% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 172.4µ ± ∞ ¹ 169.8µ ± 1% -1.51% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 1.172 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 215.9µ ± ∞ ¹ 211.7µ ± 1% -1.94% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 208.5µ ± ∞ ¹ 202.8µ ± 1% -2.69% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 1.148 ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 271.8µ ± ∞ ¹ 266.5µ ± 1% -1.94% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 249.6µ ± ∞ ¹ 243.7µ ± 1% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 1.137 ± 11% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 331.4µ ± ∞ ¹ 329.1µ ± 0% -0.69% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 332.7µ ± ∞ ¹ 329.6µ ± 2% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 417.0µ ± ∞ ¹ 411.7µ ± 1% -1.26% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 1.098 ± 12% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 396.5µ ± ∞ ¹ 393.7µ ± 0% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 526.4µ ± ∞ ¹ 523.8µ ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 439.7µ ± ∞ ¹ 434.0µ ± 2% -1.29% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 597.9µ ± ∞ ¹ 592.1µ ± 1% -0.98% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 331.7µ ± ∞ ¹ 327.5µ ± 1% -1.25% (p=0.019 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 415.3µ ± ∞ ¹ 413.1µ ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 397.1µ ± ∞ ¹ 392.4µ ± 1% -1.17% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 528.8µ ± ∞ ¹ 520.0µ ± 1% -1.66% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 440.6µ ± ∞ ¹ 433.9µ ± 0% -1.52% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 596.3µ ± ∞ ¹ 593.4µ ± 0% -0.48% (p=0.008 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 1.754m ± ∞ ¹ 1.762m ± 1% ~ (p=0.254 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 1.858m ± ∞ ¹ 1.826m ± 1% ~ (p=0.099 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 2.510m ± ∞ ¹ 2.516m ± 2% ~ (p=0.513 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 2.714m ± ∞ ¹ 2.723m ± 1% ~ (p=0.371 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 2.563m ± ∞ ¹ 2.545m ± 2% ~ (p=0.679 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 2.713m ± ∞ ¹ 2.758m ± 1% +1.67% (p=0.040 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 87.58m ± ∞ ¹ 89.34m ± 181% ~ (p=0.513 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 503.6m ± ∞ ¹ 333.8m ± 204% ~ (p=1.000 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 1.040 ± ∞ ¹ 1.065 ± 2% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 1.049 ± ∞ ¹ 1.064 ± 1% ~ (p=0.075 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 1.062 ± ∞ ¹ 1.065 ± 2% ~ (p=0.371 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 1.064 ± ∞ ¹ 1.068 ± 4% ~ (p=1.000 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 341.7m ± ∞ ¹ 420.4m ± 40% ~ (p=0.953 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 1003.3m ± ∞ ¹ 257.5m ± 96% -74.33% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 1.053 ± ∞ ¹ 1.071 ± 3% ~ (p=0.165 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 1.054 ± ∞ ¹ 1.059 ± 1% ~ (p=0.859 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 1.074 ± ∞ ¹ 1.074 ± 1% ~ (p=0.953 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 1.096 ± ∞ ¹ 1.086 ± 4% ~ (p=0.206 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 1011.4m ± ∞ ¹ 506.2m ± 59% -49.95% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 510.0m ± ∞ ¹ 505.9m ± 34% ~ (p=0.254 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 1.082 ± ∞ ¹ 1.066 ± 2% ~ (p=0.129 n=5+10) │ allocs/op │ allocs/op vs base │ MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 4.662k ± ∞ ¹ 3.618k ± 1% -22.39% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 12.95k ± 7% 11.40k ± ∞ ¹ ~ (p=0.286 n=6+1) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 8.000 ± ∞ ¹ 8.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 8.000 ± ∞ ¹ 8.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 10.00 ± ∞ ¹ 10.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 13.12k ± 5% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 14.00 ± ∞ ¹ 14.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 10.00 ± ∞ ¹ 10.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 4.421k ± 37% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 14.00 ± ∞ ¹ 14.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 4.427k ± 37% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 4.663k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 4.663k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 12.97k ± 3% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 12.70k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 4.519k ± 8% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 4.510k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 4.738k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 4.729k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 11.00 ± 0% -8.33% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 14.00 ± ∞ ¹ 13.00 ± 0% -7.14% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 13.00k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=true-24 18.00 ± ∞ ¹ 17.00 ± 0% -5.56% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 12.92k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 3.466k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=32/numRangeTs=100/updateStats=true-24 27.00 ± ∞ ¹ 26.00 ± 0% -3.70% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 3.514k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=false-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 3.700k ± 1% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=0/updateStats=true-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 14.00 ± 0% -6.67% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 3.704k ± 2% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 18.00 ± 0% -5.26% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=false-24 24.00 ± ∞ ¹ 23.00 ± 0% -4.17% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 11.69k ± 6% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=512/numRangeTs=100/updateStats=true-24 28.00 ± ∞ ¹ 27.00 ± 0% -3.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=false-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=0/updateStats=true-24 13.00 ± ∞ ¹ 12.00 ± 0% -7.69% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 11.78k ± 7% MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 14.00 ± 0% -6.67% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 18.00 ± 0% -5.26% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=false-24 23.00 ± ∞ ¹ 22.00 ± 0% -4.35% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1015/numRangeTs=100/updateStats=true-24 28.00 ± ∞ ¹ 27.00 ± 0% -3.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=false-24 9.000 ± ∞ ¹ 9.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=0/updateStats=true-24 9.000 ± ∞ ¹ 9.000 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=false-24 11.00 ± ∞ ¹ 11.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=1/updateStats=true-24 15.00 ± ∞ ¹ 15.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=false-24 19.00 ± ∞ ¹ 19.00 ± 0% ~ (p=0.527 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1/numVersions=1024/deleteVersions=1023/numRangeTs=100/updateStats=true-24 24.00 ± ∞ ¹ 24.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=false-24 12.00 ± ∞ ¹ 12.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=0/updateStats=true-24 12.00 ± ∞ ¹ 12.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=false-24 15.00 ± ∞ ¹ 15.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=1/updateStats=true-24 19.00 ± ∞ ¹ 19.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=false-24 16.00 ± ∞ ¹ 16.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=2/deleteVersions=1/numRangeTs=2/updateStats=true-24 23.00 ± ∞ ¹ 23.00 ± 0% ~ (p=1.000 n=5+10) ² MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=false-24 1328.0 ± ∞ ¹ 317.0 ± 174% -76.13% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=0/updateStats=true-24 2.742k ± ∞ ¹ 1.137k ± 203% ~ (p=0.055 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=false-24 4.652k ± ∞ ¹ 3.616k ± 1% -22.27% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=1/updateStats=true-24 4.650k ± ∞ ¹ 3.618k ± 1% -22.19% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=false-24 13.09k ± ∞ ¹ 11.97k ± 6% -8.62% (p=0.005 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=1/numRangeTs=100/updateStats=true-24 13.22k ± ∞ ¹ 12.09k ± 3% -8.56% (p=0.003 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=false-24 2.182k ± ∞ ¹ 1.447k ± 39% -33.68% (p=0.028 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=0/updateStats=true-24 4422.0 ± ∞ ¹ 872.0 ± 98% -80.28% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=false-24 4.630k ± ∞ ¹ 3.611k ± 1% -22.02% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=1/updateStats=true-24 4.638k ± ∞ ¹ 3.634k ± 1% -21.66% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=false-24 12.80k ± ∞ ¹ 11.94k ± 4% -6.67% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=16/numRangeTs=100/updateStats=true-24 12.75k ± ∞ ¹ 11.97k ± 3% -6.08% (p=0.013 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=false-24 4.441k ± ∞ ¹ 1.722k ± 59% -61.21% (p=0.001 n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=0/updateStats=true-24 2.755k ± ∞ ¹ 1.720k ± 33% -37.57% (n=5+10) MVCCGarbageCollect/pebble/keySize=128/valSize=128/numKeys=1024/numVersions=1024/deleteVersions=32/numRangeTs=1/updateStats=false-24 4.663k ± ∞ ¹ 3.616k ± 1% -22.44% (p=0.001 n=5+10) ``` Informs #97570. Epic: None Release note: None
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