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The current version of the index metrics is not suited for datasets that have appends or have experiences optimization/replications.
Only cube level metrics are shwon and block of files level statistics are absent:
// EXAMPLE OUTPUT OTree Index Metrics: dimensionCount: 2 elementCount: 2879966589 depth: 9 cubeCount: 13141 desiredCubeSize: 500000 indexingColumns: ss_sold_date_sk,ss_item_sk avgFanout: 4.0 depthOnBalance: 1.3567716601745503 Stats on cube sizes: Quartiles: - min: 456367 - 1stQ: 498510 - 2ndQ: 499954 - 3rdQ: 501410 - max: 536430 Stats: - count: 3285 - l1_dev: 0.00449603896499239 - l2_dev: 1.3487574366807247E-4 Level-wise stats: level, avgCubeSize, stdCubeSize, cubeCount, avgWeight: - 0: 497810, 0, 1, 1.7361319627929786E-4 - 1: 494798, 3550, 4, 8.689350799817908E-4 - 2: 499781, 3488, 16, 0.003668841950401859 - 3: 500516, 4292, 64, 0.015534089088738918 - 4: 500289, 3967, 256, 0.06698862054431544 - 5: 499966, 3530, 1024, 0.287867372830027 - 6: 499962, 3040, 1792, 0.6729941083529944 - 7: 500142, 10508, 128, 0.7959112180321912
We need more statistics to describe the index with more than a single write.
Candidate metrics:
The text was updated successfully, but these errors were encountered:
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The current version of the index metrics is not suited for datasets that have appends or have experiences optimization/replications.
Only cube level metrics are shwon and block of files level statistics are absent:
We need more statistics to describe the index with more than a single write.
Candidate metrics:
The text was updated successfully, but these errors were encountered: