Resource Management for Impala
You can limit the CPU and memory resources used by Impala, to manage and prioritize workloads on clusters that run jobs from many Hadoop components.
How Resource Limits Are Enforced
- If Cloudera Manager Static Partitioning is used, it creates a cgroup in which Impala runs. This cgroup limits CPU, network, and IO according to the static partitioning policy.
- Limits on memory usage are enforced by Impala's process memory limit (the MEM_LIMIT query option setting). The admission control feature checks this setting to decide how many queries can be safely run at the same time. Then the Impala daemon enforces the limit by activating the spill-to-disk mechanism when necessary, or cancelling a query altogether if the limit is exceeded at runtime.
impala-shell Query Options for Resource Management
Limitations of Resource Management for Impala
The MEM_LIMIT query option, and the other resource-related query options, are settable through the ODBC or JDBC interfaces in Impala 2.0 and higher. This is a former limitation that is now lifted.