我创建了一个目前正在提供如下数据的视图:
practice_name message_type message_count
CHC ALOG_SYNC 1
CHC BULKNT 0
CHC PIE_SYNC 1
CHC PPRV_SYNC 1
CHC SYNC_PRACT 3
CHC SYNC_PROV 9
CHC SYNC_WTXT 3
CHC SYNC_XYZ 0
Midtown ALOG_SYNC 0
Midtown BULKNT 0
Midtown PIE_SYNC 0
Midtown PPRV_SYNC 0
Midtown SYNC_PRACT 3
Midtown SYNC_PROV 0
Midtown SYNC_WTXT 3
Midtown SYNC_XYZ 0
NextGen MedicalPractice ALOG_SYNC 0
NextGen MedicalPractice BULKNT 1
NextGen MedicalPractice PIE_SYNC 0
NextGen MedicalPractice PPRV_SYNC 0
NextGen MedicalPractice SYNC_PRACT 3
NextGen MedicalPractice SYNC_PROV 591
NextGen MedicalPractice SYNC_WTXT 3
NextGen MedicalPractice SYNC_XYZ 0
我的观点:
CREATE OR REPLACE VIEW sha.sha_export_queue_view AS
SELECT q3.practice_name,
q3.message_type,
q3.share_site_org_key,
COALESCE(q2.message_count, '0'::text) AS message_count
FROM ( SELECT q1.practice_name,
mt.message_type,
q1.share_site_org_key
FROM sha.message_types mt,
( SELECT DISTINCT jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Practice Name'::text AS practice_name,
ai.share_site_org_key
FROM sha.sha_share_site_view ssv
LEFT JOIN ( SELECT mytable2.assessment_id,
mytable2.result_json,
mytable2.share_site_org_key,
mytable2.rnk
FROM ( SELECT assessment_info.assessment_id,
assessment_info.result_json,
assessment_info.share_site_org_key,
dense_rank() OVER (PARTITION BY assessment_info.share_site_org_key ORDER BY assessment_info.modified_datetime DESC) AS rnk
FROM sha.assessment_info
WHERE assessment_info.assessment_id = 8::numeric) mytable2
WHERE mytable2.rnk = 1) ai ON ssv.share_site_org_key = ai.share_site_org_key) q1) q3
LEFT JOIN ( SELECT jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Practice Name'::text AS practice_name,
jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Message Type'::text AS message_type,
jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Message Count'::text AS message_count
FROM sha.sha_share_site_view ssv
LEFT JOIN ( SELECT mytable2.assessment_id,
mytable2.result_json,
mytable2.share_site_org_key,
mytable2.rnk
FROM ( SELECT assessment_info.assessment_id,
assessment_info.result_json,
assessment_info.share_site_org_key,
dense_rank() OVER (PARTITION BY assessment_info.share_site_org_key ORDER BY assessment_info.modified_datetime DESC) AS rnk
FROM sha.assessment_info
WHERE assessment_info.assessment_id = 8::numeric) mytable2
WHERE mytable2.rnk = 1) ai ON ssv.share_site_org_key = ai.share_site_org_key) q2 ON q3.message_type::text = q2.message_type AND q3.practice_name = q2.practice_name
ORDER BY q3.practice_name;
我希望第二列展平:
Practice Time Stamp <<message type 1>> <<message type 2>> <<message type 3>> <<message type 4 >> <<message type 5>> <<message type 6>> <<message type 7>> <<message type 8>>
Practice Name 1 21-12-2016 10:00 23 25 27 29 31 33 35 37
Practice Name 2 21-12-2016 10:00 24 26 28 30 32 34 36 38
Practice Name 3 21-12-2016 13:00 25 27 29 31 33 35 37 39
Practice Name 4 21-12-2016 13:00 26 28 30 32 34 36 38 40
Practice Name 5 24-12-2016 13:00 27 29 31 33 35 37 39 41
Practice Name 6 27-12-2016 13:00 28 30 32 34 36 38 40 42
Practice Name 7 30-12-2016 13:00 29 31 33 35 37 39 41 43
Practice Name 8 02-01-2017 13:00 30 32 34 36 38 40 42 44
Practice Name 1 05-01-2017 13:00 31 33 35 37 39 41 43 45
Practice Name 2 08-01-2017 13:00 32 34 36 38 40 42 44 46
Practice Name 3 11-01-2017 13:00 33 35 37 39 41 43 45 47
有什么办法可以实现吗? 抱歉小对齐问题。 值是对应的消息类型值
答案 0 :(得分:1)
查询示例(评论中的想法):
SELECT
practice_name,
sum("ALOG_SYNC") AS "ALOG_SYNC",
sum("BULKNT") AS "BULKNT",
...
FROM (
SELECT
practice_name,
CASE WHEN q3.message_type = 'ALOG_SYNC' THEN sum(message_count) END AS "ALOG_SYNC",
CASE WHEN q3.message_type = 'BULKNT' THEN sum(message_count) END AS "BULKNT"
FROM
<your from + where clause>
) AS A
GROUP BY 1
可能您的查询可能已经过优化。
或者您可以使用交叉表功能(https://www.postgresql.org/docs/current/static/tablefunc.html)