在SQL Statement中結合UNION ALL和OUTER JOIN

Question

我有兩個查詢，一個使用union all函數。

select * from (

Select 

ticket_id as Ticket_Num 
, name as Name 
, approved_at as Approval_Date 
, price as Price 
, quantity as Quantity 
, (price * quantity) as Cumulative_Price 

From purchase_list_items 

union all 

select 
    '' 
, '' 
, datetime('now') 
, '' 
, 'Total' 
, sum(in1.Cumulative_Price) 


from (

select 
    ticket_id as Ticket_Num 
, name as Name 
, approved_at as Approval_Date 
, price as Price 
, quantity as Quantity 
, (price * quantity) as Cumulative_Price 

From purchase_list_items 
    ) 
    in1 

) 
fullInner1 



order by Approval_Date 

而另一個只是一個簡單的左/右外連接。

select 
    uw.first_name as Purchased_By 
from tickets t 

left outer join ticket_work w on t.id = w.ticket_id 
left outer join users uw on w.user_id = uw.id 

where time_spent is not null 

group by uw.id, uw.first_name, t.c_location 

我希望能夠將第二個查詢合併到第一個查詢中，以創建「Purchased_By」列。由於UNION ALL，我正在努力實施它。

實質上，每張票都有一個與其關聯的user_id。每個user_id都附有一個first_name。我有兩個部分分開工作正常。

例如，user_id是Bob。這在第二個查詢中工作正常。我只是希望它現在表明，鮑勃寫票＃12345

編輯：這裏是CREATE TABLE語句

CREATE TABLE "purchase_list_items" ("id" INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, "name" varchar(200) NOT NULL, "user_id" integer NOT NULL, "purchased" boolean DEFAULT 'f', "ticket_id" integer, "created_at" datetime, "received" boolean DEFAULT 'f', "received_at" datetime, "purchased_at" datetime, "price" float DEFAULT 0.0, "approved" boolean DEFAULT 'f', "approved_at" datetime, "charge_to" varchar(255) DEFAULT '', "agreement_id" integer, "part_number" varchar(255), "purchase_order" varchar(255), "notes" text, "quantity" integer DEFAULT 1, "shipping_code" varchar(255), "updated_at" datetime, "purchased_for_id" integer, "purchased_for_type" varchar(255), "category" varchar(255) DEFAULT 'Miscellaneous', "subcategory" varchar(255) DEFAULT 'Uncategorized', "order_number" varchar(255), "quote_id" integer DEFAULT 0, "upc" varchar(255) DEFAULT '', "gid" varchar(255) DEFAULT '', "research_class" varchar(255) DEFAULT '', "research_code" varchar(255) DEFAULT '', "product_image" varchar(255) DEFAULT '', "purchase_link" varchar(255) DEFAULT '', "vendor_id" integer); 

CREATE INDEX "index_purchase_list_items_on_user_id" ON "purchase_list_items" ("user_id"); 

CREATE INDEX "index_purchase_list_items_on_ticket_id" ON "purchase_list_items" ("ticket_id"); 

CREATE INDEX "index_purchase_list_items_on_agreement_id" ON "purchase_list_items" ("agreement_id"); 

CREATE INDEX "index_purchase_list_items_on_purchased_for" ON  "purchase_list_items" ("purchased_for_id", "purchased_for_type"); 

二表：

CREATE TABLE "tickets" ("id" INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, "summary" varchar(50) NOT NULL, "status" varchar(255) NOT NULL, "description" text, "priority" integer, "created_at" datetime, "updated_at" datetime, "closed_at" datetime, "created_by" integer, "assigned_to" integer, "viewed_at" datetime, "reopened" boolean, "requires_purchase" boolean, "category" varchar(255), "external_id" varchar(255), "email_message_id" varchar(255), "status_updated_at" datetime, "warning_alert_count" integer DEFAULT 0, "error_alert_count" integer DEFAULT 0, "muted" boolean, "site_id" integer, "master_ticket_id" integer, "c_location" varchar(255), "c_jobscope_case_id" text, "reported_by_id" integer, "due_at" datetime, "c_status" varchar(255) DEFAULT 'Active', "c_jobscope_database" varchar(255) DEFAULT 'ALL', "remote_id" integer, "synced_at" datetime, "sharer_id" integer, "parent_id" integer, "c_original_est_due_date" date, "c_jobscope_priority" varchar(255), "c_priority" integer, "c_sciforma_ticket_number" integer DEFAULT NULL); 

CREATE INDEX "index_tickets_on_remote_id" ON "tickets" ("remote_id"); 

CREATE INDEX "index_tickets_on_synced_at" ON "tickets" ("synced_at"); 

CREATE INDEX "index_tickets_on_sharer_id" ON "tickets" ("sharer_id"); 

CREATE INDEX "index_tickets_on_parent_id" ON "tickets" ("parent_id"); 

CREATE INDEX "index_tickets_on_assigned_to" ON "tickets" ("assigned_to"); 

CREATE INDEX "index_tickets_on_status" ON "tickets" ("status"); 

CREATE INDEX "index_tickets_on_due_at" ON "tickets" ("due_at"); 

Answer 1

的purchase_list_items表已經包含了user_id。 查詢來查找相應的名稱應該是這樣的：

SELECT first_name 
FROM users 
WHERE user_id = ? 

這可以被直接集成到更大的查詢作爲correlated subquery：

SELECT ..., 
     (price * quantity) as Cumulative_Price, 
     (SELECT first_name 
     FROM users 
     WHERE user_id = purchase_list_items.user_id 
     ) AS Purchased_By 
FROM purchase_list_items 
...