To improve point query performance in Hive LLAP , set the following configurations: hive.llap.io.enabled=false (disable LLAP IO) hive.optimize.index.filter=false (disable ORC row index) hive.exec.orc.split.strategy=BI (to avoid recombining splits) Option 2.
SET hive.vectorized.execution.enabled=true SET hive. llap.io.enabled=false SET hive.exec.orc.default.row.index.stride=1000 SET hive.optimize.index.filter=true DROP …
If the cache size is below the viable size above, reduce Xmx to allow for more memory here (typically by reducing the number of executors) or disable LLAP IO (hive.llap.io.enabled = false). Example: Xmx is 64 Gb, so headroom = 0.06 * 64 Gb = ~4 Gb (which is lower than 6 Gb). Cache size = 92 Gb total – 64 Gb Xmx – 4 Gb headroom = 24 Gb. This is above the minimum of 3.2 Gb.
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9/17/2019 · Hi, We have HDInsight with interactive query running on our environment. The users reported that their queries running slow. We have tried to increase # of nodes but it’s not improving. Even when there is only 1 query running at time, it slow. When I checked the Tez Timeline view from Ambari, I … · Hi All, Microsoft support managed to fixed the issue …
hive. llap.io.enabled=false (disable LLAP IO) hive.optimize.index.filter=false (disable ORC row index) hive.exec.orc.split.strategy=BI (to avoid recombining splits) ????????????LLAP ??????????????????????????????????, The behavior of Hive on MR3 is specified by the configuration file hive-site.xml in the classpath. Below we describe configuration keys relevant to Hive on MR3. Name Default value Description hive.execution.engine mr3 Should be set to mr3 or tez to use MR3 as the execution engine. hive.execution.mode container Hive on MR3 based on Hive 2 and 3 supports both container or llap.
