returns 0:false if the value was null ... otherwise returns 1:true

This function locates the pivots in the table and partitions the data on those pivot points. IMPORTANT: This function expects data to already be sorte

"BindableTableScan(table=[[main, customer]], filters=[[OR(AND(<($0, 15000), =($1, 5)), =($0, *($1, $1)), >=($1, 10), <=($2, 500))]], projects=[[0, 3,

* Get number of partitions processed. * @return number of partitions that have been inserted into this WaitingQueue. */

Pushes predicates into a CASE. <p>We have a loose definition of 'predicate': any boolean expression will do, except CASE. For example '(CASE ...) = 5

Creates two CacheMachines and register them with the `project_kernel`

Creates two CacheMachines and register them with the `sort_kernel`

Creates three CacheMachines and register them with the `union_kernel`

* Release this BlazingHostTable from this CacheData * If you want to allow this CacheData to be destroyed but want to keep the * memory in CPU this

TODO add bool recursive flag to FileSystemInterface

Will replace the `COUNT($X)` expression with the right window col index useful when exists an `avg` or `sum` window expression input: CASE(>(COUNT($0)

Will replace the `$SUM0($X)` expression with the right window col index useful when exists an `avg` or `sum` window expression input: CASE(>($4, 0), $

Results processing of the query execution with blazingsql and drill/spark. It include the results formatting, comparison and print of