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Explore Stack Internal Commonly I see dataset.countDataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count} rows")if (dataset.count > 0) do x else do ydataset.persist.countDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count} rows")if (dataset.count > 0) do x else do ydataset.persist.countDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see Dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count} rows")if (dataset.count > 0) do x else do ydataset.persist.countDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count()} rows")if (dataset.count > 0) do x else do ydataset.persist.countDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count()} rows")if (dataset.count > 0) do x else do yDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count} rows")if (dataset.count > 0) do x else do ydataset.persist.countDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?
Commonly I see dsdataset.count throughout codebases in 23 scenarios:
log.info("this ds has ${dsdataset.count()} rows")if (dsdataset.count > 0) do x else do yDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in eitherany of those scenarios?
It is also commonly used to force a cache, however I am not interest in that scenario here.
Commonly I see ds.count throughout codebases in 2 scenarios:
log.info("this ds has ${ds.count()} rows")if (ds.count > 0) do x else do yDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in either of those scenarios?
It is also commonly used to force a cache, however I am not interest in that scenario here.
Commonly I see dataset.count throughout codebases in 3 scenarios:
log.info("this ds has ${dataset.count()} rows")if (dataset.count > 0) do x else do yDoes it prevent the query optimizer from creating the most efficient dag by forcing it to be eager prematurely in any of those scenarios?