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scylladb/test/boost
Nadav Har'El 24fb92c8ba Merge 'cql3: simplify runtime component of selection filtering' from Avi Kivity
Most of the analysis of the WHERE clause is done in statement_restrictions. It determines
what parts to use for the primary or secondary index, and what parts to use for filtering.

The difficult part is that it has a very wide interface. After construction, the user must pick
the correct bits from many public functions. There are subtle interactions between them
that are hard to untangle.

This series simplifies the interface as it is used for selection filtering. In the end, only
two public functions are used, both returning expressions: one for the partition-level
filtering, one for the clustering row level filtering.

In the end, the WHERE clause is factored into three parts:
 - one part goes into the read_command of the primary or secondary index
 - another part (that references only partition key columns and static key columns) is used to filter entire partitions
 - another part (that currently references only clustering key columns and regular columns, but one day may reference other columns) is used to filter clustering rows

Refactoring, no backport.

Closes scylladb/scylladb#20487

* github.com:scylladb/scylladb:
  cql3: statement_restrictions: drop accessors for single-column key restrictions
  cql3: selection: adjust indentation
  cql3: selection: delete empty loop
  cql3: statement_restrictions, selection: fold multi-column restrictions into row-level filter
  cql3: statement_restrictions, selection: merge clustering key filter and regular columns filter
  cql3: statement_restrictions, selection: merge partition key filter and static columns filter
  cql3: selection: filter regular and static rows as a single expression each
  cql3: statement_restrictions: collect regular column and static column filters into single expressions
  cql3: selection: filter clustering key as a single expression
  cql3: statement_restrictions: expose filter for clustering key
  cql3: selection: filter partition key as a single expression
  cql3: statement_restrictions: expose filter for partition key
  cql3: statement_restrictions: remove relations used for indexing from filtering
  cql3: statement_restrictions: bail out of find_idx if !_uses_secondary_index
  cql3: statement_restrictions, modification_statement: pass correct value of check_indexes
  cql3: statement_restrictions: correct mismatched clustering/partition restrictions references
  cql3: statement_restrictions: precalculate get_column_defs_for_filtering()
  cql3: selection: do_filter(): push static/regular row glue to higher level
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