270d497848
* statistics: introduce new estimation logic when index histogram fail to estimate * address comments * address comments Co-authored-by: Ti Chi Robot <71242396+ti-chi-bot@users.noreply.github.com>
31 lines
1.1 KiB
JSON
31 lines
1.1 KiB
JSON
[
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{
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"Name": "TestExpBackoffEstimation",
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"Cases": [
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[
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"IndexReader_6 5.00 root index:IndexRangeScan_5",
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"└─IndexRangeScan_5 5.00 cop[tikv] table:exp_backoff, index:idx(a, b, c, d) range:[1,1], keep order:false"
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],
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[
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"TableReader_7 3.00 root data:Selection_6",
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"└─Selection_6 3.00 cop[tikv] eq(test.exp_backoff.b, 1)",
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" └─TableFullScan_5 5.00 cop[tikv] table:exp_backoff keep order:false"
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],
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[
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"TableReader_7 2.00 root data:Selection_6",
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"└─Selection_6 2.00 cop[tikv] eq(test.exp_backoff.c, 1)",
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" └─TableFullScan_5 5.00 cop[tikv] table:exp_backoff keep order:false"
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],
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[
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"TableReader_7 3.00 root data:Selection_6",
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"└─Selection_6 3.00 cop[tikv] ge(test.exp_backoff.d, 3), le(test.exp_backoff.d, 5)",
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" └─TableFullScan_5 5.00 cop[tikv] table:exp_backoff keep order:false"
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],
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[
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"IndexReader_6 1.36 root index:IndexRangeScan_5",
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"└─IndexRangeScan_5 1.36 cop[tikv] table:exp_backoff, index:idx(a, b, c, d) range:[1 1 1 3,1 1 1 5], keep order:false"
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]
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]
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}
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]
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