Removed _group_count=col feature, closes #504

travis-python38
Simon Willison 2019-11-05 21:12:55 -08:00
rodzic 931bfc6661
commit c30f07c58e
2 zmienionych plików z 0 dodań i 21 usunięć

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@ -499,18 +499,6 @@ class TableView(RowTableShared):
if order_by:
order_by = "order by {} ".format(order_by)
# _group_count=col1&_group_count=col2
group_count = special_args_lists.get("_group_count") or []
if group_count:
sql = 'select {group_cols}, count(*) as "count" from {table_name} {where} group by {group_cols} order by "count" desc limit 100'.format(
group_cols=", ".join(
'"{}"'.format(group_count_col) for group_count_col in group_count
),
table_name=escape_sqlite(table),
where=where_clause,
)
return await self.custom_sql(request, database, hash, sql, editable=True)
extra_args = {}
# Handle ?_size=500
page_size = _size or request.raw_args.get("_size")

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@ -321,15 +321,6 @@ Special table arguments
Here's `an example <https://latest.datasette.io/fixtures/roadside_attractions?_through={%22table%22:%22roadside_attraction_characteristics%22,%22column%22:%22characteristic_id%22,%22value%22:%221%22}>`__.
``?_group_count=COLUMN``
Executes a SQL query that returns a count of the number of rows matching
each unique value in that column, with the most common ordered first.
``?_group_count=COLUMN1&_group_count=column2``
You can pass multiple ``_group_count`` columns to return counts against
unique combinations of those columns.
``?_next=TOKEN``
Pagination by continuation token - pass the token that was returned in the
``"next"`` property by the previous page.