Ниже для BigQuery Standard SQL и отвечает только на точный вопрос в заголовке вашего сообщения:
Как получить комбинацию значений из одного столбца?
blockquote>#standardSQL CREATE TEMP FUNCTION test(a ARRAY<INT64>) RETURNS ARRAY<STRING> LANGUAGE js AS ''' var combine = function(a) { var fn = function(n, src, got, all) { if (n == 0) { if (got.length > 0) { all[all.length] = got; } return; } for (var j = 0; j < src.length; j++) { fn(n - 1, src.slice(j + 1), got.concat([src[j]]), all); } return; } var all = []; for (var i = 1; i < a.length; i++) { fn(i, a, [], all); } all.push(a); return all; } return combine(a) '''; WITH types AS ( SELECT DISTINCT type, CAST(DENSE_RANK() OVER(ORDER BY type) AS STRING) type_num FROM `project.dataset.order` WHERE status = 'OK' ) SELECT items, STRING_AGG(type ORDER BY type_num) types FROM UNNEST(test(GENERATE_ARRAY(1,(SELECT COUNT(1) FROM types)))) AS items, UNNEST(SPLIT(items)) AS pos JOIN types ON pos = type_num GROUP BY items
Вы можете протестировать, поиграть с выше, используя примеры данных из ваших вопросов, как показано ниже
#standardSQL CREATE TEMP FUNCTION test(a ARRAY<INT64>) RETURNS ARRAY<STRING> LANGUAGE js AS ''' var combine = function(a) { var fn = function(n, src, got, all) { if (n == 0) { if (got.length > 0) { all[all.length] = got; } return; } for (var j = 0; j < src.length; j++) { fn(n - 1, src.slice(j + 1), got.concat([src[j]]), all); } return; } var all = []; for (var i = 1; i < a.length; i++) { fn(i, a, [], all); } all.push(a); return all; } return combine(a) '''; WITH `project.dataset.order` AS ( SELECT '2019-01-02' dt, 'Shirt' type, 'Cashless' payment, 101 customer_no, 'Cancel' status UNION ALL SELECT '2019-01-02', 'Jeans', 'Cashless', 133, 'OK' UNION ALL SELECT '2019-01-02', 'Jeans', 'Cash', 102, 'OK' UNION ALL SELECT '2019-01-02', 'Cap', 'Cash', 144, 'OK' UNION ALL SELECT '2019-01-02', 'Shirt', 'Cash', 132, 'OK' UNION ALL SELECT '2019-01-01', 'Jeans', 'Cash', 111, 'Cancel' UNION ALL SELECT '2019-01-01', 'Cap', 'Cash', 141, 'OK' UNION ALL SELECT '2019-01-01', 'Shirt', 'Cash', 101, 'OK' UNION ALL SELECT '2019-01-01', 'Jeans', 'Cash', 105, 'OK' ), types AS ( SELECT DISTINCT type, CAST(DENSE_RANK() OVER(ORDER BY type) AS STRING) type_num FROM `project.dataset.order` WHERE status = 'OK' ) SELECT items, STRING_AGG(type ORDER BY type_num) types FROM UNNEST(test(GENERATE_ARRAY(1,(SELECT COUNT(1) FROM types)))) AS items, UNNEST(SPLIT(items)) AS pos JOIN types ON pos = type_num GROUP BY items
с результатом
Row items types 1 1 Cap 2 2 Jeans 3 3 Shirt 4 1,2 Cap,Jeans 5 1,3 Cap,Shirt 6 2,3 Jeans,Shirt 7 1,2,3 Cap,Jeans,Shirt