Partitioning pab tseem ceeb txo qhov nyiaj ntawm I / O cov haujlwm ua kom cov ntaub ntawv nrawm nrawmSpark yog raws li lub tswv yim ntawm cov ntaub ntawv hauv zos. Nws qhia tau hais tias rau kev ua haujlwm, cov neeg ua haujlwm nodes siv cov ntaub ntawv uas nyob ze rau lawv. Raws li qhov tshwm sim, kev faib tawm txo qis I / O network, thiab kev ua cov ntaub ntawv sai dua.
Thaum twg kuv yuav tsum tau muab faib rau hauv lub txim?
Spark/PySpark muab faib yog txoj hauv kev los faib cov ntaub ntawv mus rau ntau qhov sib faib kom koj tuaj yeem ua cov kev hloov pauv ntawm ntau qhov sib faib ua ke uas tso cai rau ua tiav txoj haujlwm sai dua. Koj tseem tuaj yeem sau cov ntaub ntawv muab faib rau hauv cov ntaub ntawv kaw lus (ntau daim ntawv teev npe) kom nyeem tau sai dua los ntawm cov kab ke hauv qab.
Vim li cas peb thiaj yuav tsum muab faib cov ntaub ntawv?
Nyob hauv ntau qhov kev daws teeb meem loj, cov ntaub ntawv tau muab faib ua ntu uas tuaj yeem tswj hwm thiab nkag mus sib cais. Partitioning tuaj yeem txhim kho kev sib tw, txo kev sib cav, thiab ua kom zoo dua…
Kuv yuav tsum muaj pes tsawg partitions?
Qhov kev pom zoo dav dav rau Spark yog kom muaj 4x ntawm kev faib rau cov naj npawb ntawm cov cores hauv pawg muaj rau daim ntawv thov, thiab rau sab sauv - txoj haujlwm yuav tsum siv sijhawm 100ms + sijhawm los ua tiav.
Dab tsi yog spark shuffle partitions?
Shuffle partitions yog the partitions in spark dataframe, uas yog tsim los siv ib pawg lossis koom ua haujlwm. Tus naj npawb ntawm partitions hauv dataframe no txawv dua li cov thawj dataframe partitions. … Qhov no qhia tau hais tias muaj ob qhov kev faib nyob rau hauv dataframe.