--- title: "Count the rows a filter selects" method: POST path: "/tables/{table_id}/rows/count/" tags: ["table-rows"] --- # Count the rows a filter selects `POST /tables/{table_id}/rows/count/` ## Request - Base URL: `https://api.getoneprofile.ai` (the document declares no server; this is the origin it was published from) - URL: `https://api.getoneprofile.ai/tables/{table_id}/rows/count/` - Auth: one of: - API key in header `X-API-Key` - HTTP bearer How many rows a predicate matches, with no rows read. Takes the `where` and `row_status` vocabulary of the rows query, so a saved view's own filter can be counted by sending it back verbatim: that is how a picker can say what choosing a view will actually select before anything is bound to it. An unfiltered count is free: it reads the table's maintained counter rather than scanning. A filtered one is an exact COUNT over the same predicate the listing applies, never an estimate, so the number cannot disagree with the rows the client goes on to fetch. A POST for the same reason the rows query is one: a filter list has no honest query-string encoding. ## Path parameters - `table_id` string, uuid, required ## Request body - TableRowsCountRequestSchema: Request body for the row count. The predicate half of the rows query and nothing else: no cursor, no projection, no sort. Counting is order-independent by definition, and a caller that sends a sort is asking for something this cannot mean. - `row_status` 'errored' | 'fully_computed': A row-level state, derived from its cells rather than stored. ``ERRORED`` is "any cell of this row failed to compute"; ``FULLY_COMPUTED`` is its exact complement, so the two partition the table. Serves the built-in smart views, which are questions about computation rather than about values. The ordinary filter vocabulary cannot express either. - `where` TableRowsWhereSchemaInput: The whole predicate for a rows query. ``items`` mixes conditions with groups under one joiner, so ``A and (B or C)`` is an AND over ``[A, group(OR, [B, C])]``. Send no ``where`` at all rather than an empty one, so "no filter" stays a single state. The cap is on LEAVES, not on items: eight conditions cost eight correlated EXISTS clauses whether they are grouped or not, and it is the clause count that the query planner pays for. - `items` TableRowWhereItemSchemaInput[], required: Conditions and groups. - union - TableRowFilterSchemaInput: One predicate a row must satisfy. Which operators apply depends on the column's type: a range comparison on a checkbox is rejected rather than silently matching nothing. The valueless operators (``is_empty``, ``is_not_empty``, ``is_true``, ``is_false``) must not carry a value. - `column_id` union, required: A column ID, or `__any_column__` to ask about every cell in the row at once. `__any_column__` takes only `has_error` and `has_no_error`. - string, uuid - '__any_column__' | '__record_id__': The filter targets that name the whole ROW rather than one column. ``ANY_COLUMN`` asks a question of every cell in the row at once: "does any column have an error?" is the table-wide half of the per-column ``has_error``. It stands in the ``column_id`` slot of an ordinary condition (the same trick the system sort keys use), so a row-wide question travels through every surface that already carries a predicate tree (a saved view, a run's scope, an export, a count) with nothing to add to any of them. The dunder spelling keeps it apart from any UUID. - `operator` 'eq' | 'neq' | 'gt' | 'gte' | 'lt' | 'lte' | 'contains' | 'not_contains' | 'contains_any_of' | 'not_contains_any_of' | 'starts_with' | 'is_true' | 'is_false' | 'is_empty' | 'is_not_empty' | 'has_error' | 'has_no_error' | 'has_results' | 'has_no_results' | 'has_not_run' | 'is_stale' | 'is_not_stale' | 'run_condition_not_met' | 'run_stopped', required: A row filter predicate. Which operators are legal depends on the column's data type; the service validates the pairing and rejects a mismatch, so an operator here is a vocabulary entry rather than a promise it applies everywhere. Two families live here. The VALUE operators ask about what a cell holds and are keyed off the column's storage slot. The STATE operators ask about what the last run DID to the cell (errored, skipped, never ran, went stale) and are keyed off the column's kind instead: they read the compute metadata that only a computed column ever writes, and mean nothing on a hand-typed one. - `type` 'condition' - `value` union - string - integer - number - boolean - string, date-time - string, date - CellValueInput[] - object - TableRowFilterGroupSchemaInput: A parenthesised run of conditions, joined among themselves. Holds conditions and never groups: one level of nesting is expressible and a second is not, structurally. That covers ``A and (B or C)`` (what a filter panel offers) while keeping the SQL a flat walk. - `conditions` TableRowFilterSchemaInput[], required: The conditions inside the parentheses. - `column_id` union, required: A column ID, or `__any_column__` to ask about every cell in the row at once. `__any_column__` takes only `has_error` and `has_no_error`. - … - `operator` 'eq' | 'neq' | 'gt' | 'gte' | 'lt' | 'lte' | 'contains' | 'not_contains' | 'contains_any_of' | 'not_contains_any_of' | 'starts_with' | 'is_true' | 'is_false' | 'is_empty' | 'is_not_empty' | 'has_error' | 'has_no_error' | 'has_results' | 'has_no_results' | 'has_not_run' | 'is_stale' | 'is_not_stale' | 'run_condition_not_met' | 'run_stopped', required: A row filter predicate. Which operators are legal depends on the column's data type; the service validates the pairing and rejects a mismatch, so an operator here is a vocabulary entry rather than a promise it applies everywhere. Two families live here. The VALUE operators ask about what a cell holds and are keyed off the column's storage slot. The STATE operators ask about what the last run DID to the cell (errored, skipped, never ran, went stale) and are keyed off the column's kind instead: they read the compute metadata that only a computed column ever writes, and mean nothing on a hand-typed one. - `type` 'condition' - `value` union - … - `joiner` 'and' | 'or': How the members of one filter level combine. - `type` 'group' - `joiner` 'and' | 'or': How the members of one filter level combine. ## Response `200` Successful Response - TableRowsCountSchema: How many rows a predicate selects. - `count` integer, required: Rows matching the predicate. Exact, not an estimate. ## Other responses - `401`: Unauthorized - `403`: Forbidden - `404`: Table not found - `422`: Invalid request made to the API. - `500`: Internal server error. - `502`: Bad gateway error. - `503`: Service unavailable. --- [API](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile.md) · [All operations](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile/llms.txt) · [OpenAPI document](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile/revisions/4a6bd71e3f02?raw)