https://community.cloudera.com/t5/Archives-of-Support-Questions/How-does-Impala-handle-heterogeneous-hardware/m-p/42883#M34608 <P>Hi! Good question.</P><P>&nbsp;</P><P>Today, Impala is not aware of&nbsp;the heterogeneity and will split the work evenly among all available nodes - regardless of how much cpu/memory those nodes have.</P><P>&nbsp;</P> Fri, 15 Jul 2016 16:12:53 GMT alex.behm 2016-07-15T16:12:53Z https://community.cloudera.com/t5/Archives-of-Support-Questions/How-does-Impala-handle-heterogeneous-hardware/m-p/42839#M34607 <P>Suppose we have 8 DataNodes with 128&nbsp;GB RAM each of which 64 GB is allocated to Impala and we add 8 more nodes of 256 GB and we intend to allocated 128 GB to Impala.</P><P>&nbsp;</P><P>My concern is, will the coordinator be smart enough to know the mem_limit of each node it sends fragments to? Are there any other known issues that come up with such a configuration?</P><P>&nbsp;</P><P>NOTE: Current CDH version is CDH 5.4.4 (Impala v2.2)</P> Fri, 16 Sep 2022 10:29:47 GMT https://community.cloudera.com/t5/Archives-of-Support-Questions/How-does-Impala-handle-heterogeneous-hardware/m-p/42839#M34607 cchahadoop 2022-09-16T10:29:47Z https://community.cloudera.com/t5/Archives-of-Support-Questions/How-does-Impala-handle-heterogeneous-hardware/m-p/42883#M34608 <P>Hi! Good question.</P><P>&nbsp;</P><P>Today, Impala is not aware of&nbsp;the heterogeneity and will split the work evenly among all available nodes - regardless of how much cpu/memory those nodes have.</P><P>&nbsp;</P> Fri, 15 Jul 2016 16:12:53 GMT https://community.cloudera.com/t5/Archives-of-Support-Questions/How-does-Impala-handle-heterogeneous-hardware/m-p/42883#M34608 alex.behm 2016-07-15T16:12:53Z