Now insert and query share the resource ( Max Process Count control) 。 When the query with high TPS，the insert will get error (“error: too many process”). I think separator the resource for Insert and Query will makes sense. Ensure enough resource for insert。It looks like Use Yarn， Insert and Query use the different resource quota。
Or the simple way , Can we set Ratio for Insert and

Hey everyone!

mapd-core-cpu is already available on conda-forge (https://anaconda.org/conda-forge/omniscidb-cpu)

now we should add some instructions on the documentation.

at this moment it is available for linux and osx.

some additional information about the configuration:

1. for now, always install omniscidb-cpu inside a conda environment (also it is a good practice), eg:

Merging a few issues into one here.

Numeric Scalar

• ACOS, ASIN, ATAN, COS, SIN, TAN, COT, ATAN2 [MySQL, PostgreSQL]
• BIT_AND, BIT_COUNT, BIT_LENGTH, BIT_OR, BIT_XOR, ~ [MySQL]
• CEIL, CEILING, FLOOR [MySQL, PostgreSQL]
• LOG, LOG10, LOG2, LN [MySQL, PostgreSQL]
• PI [PostgreSQL]
• RANDOM
• SQRT, POWER, CBRT [PostgreSQL]
• LEAST, GREATEST

https://ww