REG_IDrecruitment_id=gender"all_M_W"="A"aY"B"bY"C"cY"D"dY"E"eYnopenopeY"A_repcent"a_percentY"B_repcent"b_percentY"C_repcent"c_percentY"D_repcent"d_percentY"E_repcent"e_percentY"all_M_W"genderNrecruitment_idrecruitment_idN1088384YSelect values 3 2 2SelectValuesY1noneNREG_IDREG_IDString-2-2falsefalseVK_ARRAYVK_ARRAYString-2-2falsefalse848160YSelect values 3 2 2 2SelectValuesY1noneNREG_IDREG_IDString-2-2falsefalseVK_ARRAYVK_ARRAYString-2-2falsefalse848288YSelect values 3 2 2 3SelectValuesY1noneNREG_IDREG_IDString-2-2falsefalseVK_ARRAYVK_ARRAYString-2-2falsefalse848432YTable input (person_registry) РФ/всеTableInputY1nonepostgres.person_registryWITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'ALL' AS gender,
'${REG_ID}' AS recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;0NYN464112YTable input (person_registry) РФ/женщиныTableInputN1nonepostgres.person_registryWITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
AND r.gender = 'FEMALE'
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'W' AS gender,
'${REG_ID}' as recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;0NYN464384YTable input (person_registry) РФ/мужчиныTableInputY1nonepostgres.person_registryWITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
AND r.gender = 'MALE'
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'M' AS gender,
'${REG_ID}' as recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;0NYN464240YN