46 lines
26 KiB
JSON
46 lines
26 KiB
JSON
{
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"SqlTextLengthMax": 307200,
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"ApiPrefix": "",
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"Authorization": {
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"base64token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJndWR1c29mdCIsImV4cCI6MTYwMzc1NjgwMCwiaWF0IjoxNTcyMjIwODAwfQ.EhlnJO7oqAHdr0_bunhtrN-TgaGbARKvTh2URTxu9iU"
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},
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"Toolbar": {
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"built-in": [
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"SQL",
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"Schema Explorer",
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"Setting",
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"Export",
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"Version",
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"Share"
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],
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"extra": []
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},
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"EnableAuth0": false,
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"Auth0": {
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"domain": "gudusoft.auth0.com",
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"clientID": "PZ7fv0vKLL8f0HFW0FIlP1PiDeF0h5HD"
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},
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"SampleSql": {
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"bigquery": "MERGE dataset.DetailedInventory T\nUSING dataset.Inventory S\nON T.product = S.product\nWHEN NOT MATCHED AND quantity < 20 THEN\n INSERT(product, quantity, supply_constrained, comments)\n VALUES(product, quantity, true, ARRAY<STRUCT<created DATE, comment STRING>>[(DATE('2016-01-01'), 'comment1')])\nWHEN NOT MATCHED THEN\n INSERT(product, quantity, supply_constrained)\n VALUES(product, quantity, false)\n;",
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"couchbase": "-- Couchbase\nSELECT t1.country, array_agg(t1.city), sum(t1.city_cnt) as apnum\nFROM (SELECT city, city_cnt, array_agg(airportname) as apnames, country\n FROM `travel-sample` WHERE type = \"airport\"\n GROUP BY city, country LETTING city_cnt = count(city) ) AS t1\nWHERE t1.city_cnt > 5\nGROUP BY t1.country;\n\nINSERT INTO `travel-sample` (key UUID(), value _country)\n SELECT _country FROM `travel-sample` _country\n WHERE type = \"airport\" AND airportname = \"Heathrow\";\n\t \nMERGE INTO all_empts a USING emps_deptb b ON KEY b.empId\nWHEN MATCHED THEN\n UPDATE SET a.depts = a.depts + 1,\n a.title = b.title || \", \" || b.title\nWHEN NOT MATCHED THEN\n INSERT { \"name\": b.name, \"title\": b.title, \"depts\": b.depts, \"empId\": b.empId, \"dob\": b.dob }\n;\n\nUPDATE `travel-sample`\nSET foo = 9\nWHERE city = (SELECT raw city FROM `beer-sample` WHERE type = \"brewery\")\n;",
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"db2": "-- DB2\nSELECT PART, SUPPLIER, PRODNUM, PRODUCT\nFROM (SELECT PART, PROD# AS PRODNUM, SUPPLIER\nFROM PARTS\nWHERE PROD# < 200) AS PARTX\nLEFT OUTER JOIN PRODUCTS\nON PRODNUM = PROD#;\n\n\nSELECT D.DEPTNO, D.DEPTNAME,\nEMPINFO.AVGSAL, EMPINFO.EMPCOUNT\nFROM DEPT D,\nTABLE (SELECT AVG(E.SALARY) AS AVGSAL,\nCOUNT(*) AS EMPCOUNT\nFROM EMP E\nWHERE E.WORKDEPT = D.DEPTNO)\nAS EMPINFO;\n\nDELETE FROM EMP X\nWHERE ABSENT = (SELECT MAX(ABSENT) FROM EMP Y\nWHERE X.WORKDEPT = Y.WORKDEPT);\n\nINSERT INTO SMITH.TEMPEMPL\nSELECT *\nFROM DSN8B10.EMP;\n\nINSERT INTO B.EMP_PHOTO_RESUME\n-- OVERRIDING USER VALUE\nSELECT * FROM DSN8B10.EMP_PHOTO_RESUME;\n\nMERGE INTO RECORDS AR\nUSING (VALUES (:hv_activity, :hv_description)\n--FOR :hv_nrows ROWS\n)\nAS AC (ACTIVITY, DESCRIPTION)\nON (AR.ACTIVITY = AC.ACTIVITY)\nWHEN MATCHED THEN UPDATE SET DESCRIPTION = AC.DESCRIPTION\nWHEN NOT MATCHED THEN INSERT (ACTIVITY, DESCRIPTION)\nVALUES (AC.ACTIVITY, AC.DESCRIPTION)\n-- NOT ATOMIC CONTINUE ON SQLEXCEPTION\n;\n\nCREATE TABLE T1 (COL1 CHAR(7), COL2 INT);\nINSERT INTO T1 VALUES ('abc', 10);\nMERGE INTO T1 AS A\nUSING TABLE (VALUES ('rsk', 3 ) ) AS T (ID, AMOUNT)\nON A.COL1 = T.ID\nWHEN MATCHED\nTHEN UPDATE SET COL2 = CARDINALITY(CHARA)\nWHEN NOT MATCHED\nTHEN INSERT (COL1, COL2 ) VALUES (T.ID, CARDINALITY(INTA));\n\nUPDATE DSN8B10.EMP\nSET PROJSIZE = (SELECT COUNT(*)\nFROM DSN8B10.PROJ\nWHERE DEPTNO = 'E21')\nWHERE WORKDEPT = 'E21';\n\nCREATE VIEW DSN8B10.FIRSTQTR (SNO, CHARGES, DATE) AS\nSELECT SNO, CHARGES, DATE\nFROM MONTH1\nWHERE DATE BETWEEN '01/01/2000' and '01/31/2000'\nUNION All\nSELECT SNO, CHARGES, DATE\nFROM MONTH2\nWHERE DATE BETWEEN '02/01/2000' and '02/29/2000'\nUNION All\nSELECT SNO, CHARGES, DATE\nFROM MONTH3\nWHERE DATE BETWEEN '03/01/2000' and '03/31/2000';\n\n/* not supported yet\n\nEXEC SQL\nDECLARE C1 CURSOR FOR\nSELECT BONUS\nFROM DSN8710.EMP\nWHERE WORKDEPT = 'E12'\nFOR UPDATE OF BONUS;\n\nEXEC SQL\nUPDATE DSN8710.EMP\nSET BONUS = ( SELECT .10 * SALARY FROM DSN8710.EMP Y\nWHERE EMPNO = Y.EMPNO )\nWHERE CURRENT OF C1;\n*/",
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"greenplum": "-- greenplum sample SQL\n\nWITH regional_sales AS (\n SELECT region, SUM(amount) AS total_sales\n FROM orders\n GROUP BY region\n ), top_regions AS (\n SELECT region\n FROM regional_sales\n WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales)\n )\nSELECT region,\n product,\n SUM(quantity) AS product_units,\n SUM(amount) AS product_sales\nFROM orders\nWHERE region IN (SELECT region FROM top_regions)\nGROUP BY region, product;\n\nWITH RECURSIVE search_graph(id, link, data, depth, path, cycle) AS (\n SELECT g.id, g.link, g.data, 1,\n ARRAY[g.id],\n false\n FROM graph g\n UNION ALL\n SELECT g.id, g.link, g.data, sg.depth + 1,\n path || g.id,\n g.id = ANY(path)\n FROM graph g, search_graph sg\n WHERE g.id = sg.link AND NOT cycle\n)\nSELECT * FROM search_graph;\n\nINSERT INTO films SELECT * FROM tmp_films WHERE date_prod < '2004-05-07';\n\nUPDATE employees SET sales_count = sales_count + 1 WHERE id =\n (SELECT id FROM accounts WHERE name = 'Acme Corporation');\n \n \nUPDATE accounts SET (contact_last_name, contact_first_name) =\n (SELECT last_name, first_name FROM salesmen\n WHERE salesmen.id = accounts.sales_id); ",
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"hana": "-- sap hana sample SQLCODE\n\nCREATE TABLE t1(a INT, b INT, c INT); \nCREATE TABLE t2(a INT, b INT, c INT);\nINSERT INTO t1 VALUES(1,12,13); \nINSERT INTO t2 VALUES(2,120,130);\n \nINSERT INTO t1 WITH alias1 AS (SELECT * FROM t1) SELECT * FROM alias1;\nINSERT INTO t1 WITH w1 AS (SELECT * FROM t2) SELECT * FROM w1;\n\nSELECT TA.a1, TB.b1 FROM TA, LATERAL (SELECT b1, b2 FROM TB WHERE b3 = TA.a3) TB WHERE TA.a2 = TB.b2;\n\nUPDATE T1 SET C1 = ARRAY( SELECT C1 FROM T0 ) WHERE ID = 1;\n\nUPSERT T1 VALUES ( 1, ARRAY ( SELECT C1 FROM T0 ) ) WHERE ID = 1;\n\n\nMERGE INTO \"my_schema\".t1 USING \"my_schema\".t2 ON \"my_schema\".t1.a = \"my_schema\".t2.a\n WHEN MATCHED THEN UPDATE SET \"my_schema\".t1.b = \"my_schema\".t2.b\n WHEN NOT MATCHED THEN INSERT VALUES(\"my_schema\".t2.a, \"my_schema\".t2.b);\n \n MERGE INTO T1 USING T2 ON T1.A = T2.A\n WHEN MATCHED AND T1.A > 1 THEN UPDATE SET B = T2.B\n WHEN NOT MATCHED AND T2.A > 3 THEN INSERT VALUES (T2.A, T2.B);\n \n \n /* not support yet\n CREATE VIEW Illness_K_Anon (ID, Gender, Location, Illness)\n AS SELECT ID, Gender, City AS Location, Illness\n FROM Illness\n WITH ANONYMIZATION ( ALGORITHM 'K-ANONYMITY'\n PARAMETERS '{\"data_change_strategy\": \"qualified\", \"k\": 2}'\n COLUMN ID PARAMETERS '{\"is_sequence\": true}'\n COLUMN Gender PARAMETERS '{\"is_quasi_identifier\":true, \"hierarchy\":{\"embedded\": [[\"F\"], [\"M\"]]}}'\n COLUMN Location PARAMETERS '{\"is_quasi_identifier\":true, \"hierarchy\":{\"embedded\": [[\"Paris\", \"France\"], [\"Munich\", \"Germany\"], [\"Nice\", \"France\"]]}}');\n*/",
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"hive": "-- Hive sample sql\nSELECT t3.col\nFROM (\n SELECT a+b AS col\n FROM t1\n UNION ALL\n SELECT c+d AS col\n FROM t2\n) t3\n;\n\nSELECT a.val, b.val, c.val FROM a JOIN b ON (a.key = b.key1) JOIN c ON (c.key = b.key2)\n;\n\nCREATE DATABASE merge_data;\n \nCREATE TABLE merge_data.transactions(\n\tID int,\n\tTranValue string,\n\tlast_update_user string)\nPARTITIONED BY (tran_date string)\nCLUSTERED BY (ID) into 5 buckets \nSTORED AS ORC TBLPROPERTIES ('transactional'='true');\n \nCREATE TABLE merge_data.merge_source(\n\tID int,\n\tTranValue string,\n\ttran_date string)\nSTORED AS ORC;\n\n-- merge is not supported yet.\n\n-- MERGE INTO merge_data.transactions AS T \n-- USING merge_data.merge_source AS S\n-- ON T.ID = S.ID and T.tran_date = S.tran_date\n-- WHEN MATCHED AND (T.TranValue != S.TranValue AND S.TranValue IS NOT NULL) THEN UPDATE SET TranValue = S.TranValue, last_update_user = 'merge_update'\n-- WHEN MATCHED AND S.TranValue IS NULL THEN DELETE\n-- WHEN NOT MATCHED THEN INSERT VALUES (S.ID, S.TranValue, 'merge_insert', S.tran_date)",
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"impala": "-- Impala sample sql\ninsert into t2 select * from t1;\ninsert into t2 select c1, c2 from t1;\n\nCREATE VIEW v5 AS SELECT c1, CAST(c3 AS STRING) c3, CONCAT(c4,c5) c5, TRIM(c6) c6, \"Constant\" c8 FROM t1;\n\nCREATE VIEW v7 (c1 COMMENT 'Comment for c1', c2) COMMENT 'Comment for v7' AS SELECT t1.c1, t1.c2 FROM t1;",
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"informix": "-- Informix sample sql\nCREATE VIEW myview (cola, colb) AS\nSELECT colx, coly from firsttab\nUNION\nSELECT colx, colz from secondtab;\n\nCREATE VIEW palo_alto AS\nSELECT * FROM customer WHERE city = 'Palo Alto'\nWITH CHECK OPTION\n;\n\nMERGE INTO t2 AS o USING t1 AS n ON o.f1 = n.f1\nWHEN NOT MATCHED THEN INSERT ( o.f1,o.f2)\nVALUES ( n.f1,n.f2)\n;\n\nINSERT INTO t2(f1, f2)\nSELECT t1.f1, t1.f2 FROM t1\nWHERE NOT EXISTS\n(SELECT f1, f2 FROM t2\nWHERE t2.f1 = t1.f1);\n\nMERGE INTO sale USING new_sale AS n\nON sale.cust_id = n.cust_id\nWHEN MATCHED THEN UPDATE\nSET sale.salecount = sale.salecount + n.salecount\nWHEN NOT MATCHED THEN INSERT (cust_id, salecount)\nVALUES (n.cust_id, n.salecount);\n\n\nMERGE INTO customer c\nUSING ext_customer e\nON c.customer_num=e.customer_num AND c.fname=e.fname AND c.lname=e.lname\nWHEN NOT MATCHED THEN\nINSERT\n(c.fname, c.lname, c.company, c.address1, c.address2,\nc.city, c.state, c.zipcode, c.phone)\nVALUES\n(e.fname, e.lname, e.company, e.address1, e.address2,\ne.city, e.state, e.zipcode, e.phone)\nWHEN MATCHED THEN UPDATE\nSET c.fname = e.fname,\nc.lname = e.lname,\nc.company = e.company,\nc.address1 = e.address1,\nc.address2 = e.address2,\nc.city = e.city,\nc.state = e.state,\nc.zipcode = e.zipcode,\nc.phone = e.phone ;\n\n\nUPDATE nmosdb@wnmserver1:test\nSET name=(SELECT name FROM test\nWHERE test.id = nmosdb@wnmserver1:test.id)\nWHERE EXISTS(\nSELECT 1 FROM test WHERE test.id = nmosdb@wnmserver1:test.id\n);\n\nUPDATE orders\nSET ship_charge =\n(SELECT SUM(total_price) * .07 FROM items\nWHERE orders.order_num = items.order_num)\nWHERE orders.order_num = 1001;",
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"mdx": "mdx",
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"mysql": "-- mysql sample sql\n\nSELECT\n salesperson.name,\n -- find maximum sale size for this salesperson\n (SELECT MAX(amount) AS amount\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id)\n AS amount,\n -- find customer for this maximum size\n (SELECT customer_name\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id\n AND all_sales.amount =\n -- find maximum size, again\n (SELECT MAX(amount) AS amount\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id))\n AS customer_name\nFROM\n salesperson;\n \n \nSELECT\n salesperson.name,\n max_sale.amount,\n max_sale_customer.customer_name\nFROM\n salesperson,\n -- calculate maximum size, cache it in transient derived table max_sale\n (SELECT MAX(amount) AS amount\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id)\n AS max_sale,\n -- find customer, reusing cached maximum size\n (SELECT customer_name\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id\n AND all_sales.amount =\n -- the cached maximum size\n max_sale.amount)\n AS max_sale_customer;\n\nSELECT\n salesperson.name,\n max_sale.amount,\n max_sale.customer_name\nFROM\n salesperson,\n -- find maximum size and customer at same time\n LATERAL\n (SELECT amount, customer_name\n FROM all_sales\n WHERE all_sales.salesperson_id = salesperson.id\n ORDER BY amount DESC LIMIT 1)\n AS max_sale;\n\n/* syntax not supported yet \nWITH RECURSIVE employee_paths (id, name, path) AS\n(\n SELECT id, name, CAST(id AS CHAR(200))\n FROM employees\n WHERE manager_id IS NULL\n UNION ALL\n SELECT e.id, e.name, CONCAT(ep.path, ',', e.id)\n FROM employee_paths AS ep JOIN employees AS e\n ON ep.id = e.manager_id\n)\nSELECT * FROM employee_paths ORDER BY path;\n*/\n\nUPDATE table1 t1 \nJOIN table2 t2 ON t1.field1 = t2.field1 \nJOIN table3 t3 ON (t3.field1=t2.field2 AND t3.field3 IS NOT NULL) \nSET t1.field9=t3.field9\nWHERE t1.field5=1\nAND t1.field9 IS NULL ",
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"netezza": "-- netezza sample sql\n\nINSERT INTO films SELECT * FROM tmp;\n\nINSERT INTO emp_copy WITH employee AS (select * from\nemp) SELECT * FROM employee;\n\nUPDATE emp_copy SET grp = 'gone' WHERE id =\n(WITH employee AS (select * from emp) SELECT id FROM employee WHERE id\n= 1);\n\nDELETE FROM emp_copy WHERE id IN\n(WITH employee AS (SELECT * FROM emp_copy where grp = 'gone')\nSELECT id FROM employee);\n\n\nWITH manager (mgr_id, mgr_name, mgr_dept) AS\n\t(SELECT id, name, grp\n\tFROM emp_copy\n\tWHERE mgr = id AND grp != 'gone'),\nemployee (emp_id, emp_name, emp_mgr) AS\n\t(SELECT id, name, mgr_id\n\tFROM emp_copy JOIN manager ON grp = mgr_dept),\nmgr_cnt (mgr_id, mgr_reports) AS\n\t(SELECT mgr, COUNT (*)\n\tFROM emp_copy\n\tWHERE mgr != id\n\tGROUP BY mgr)\nSELECT *\nFROM employee JOIN manager ON emp_mgr = mgr_id \n\tJOIN mgr_cnt ON emp_mgr = mgr_id \nWHERE emp_id != mgr_id\nORDER BY mgr_dept;",
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"openedge": "-- openedge sample sql\n\nCREATE VIEW ne_customers AS\nSELECT name, address, city, state\nFROM customer\nWHERE state IN ( 'NH', 'MA', 'ME', 'RI', 'CT', 'VT' )\nWITH CHECK OPTION ;\n\nINSERT INTO neworders (order_no, product, qty)\nSELECT order_no, product, qty\nFROM orders\nWHERE order_date = SYSDATE ;\n\nUPDATE OrderLine\nSET (ItemNum, Price) =\n(SELECT ItemNum, Price * 3\nFROM Item\nWHERE ItemName = 'gloves')\nWHERE OrderNum = 21 ;\n\nUpdate Orderline\nSET (Itemnum) =\n(Select Itemnum\nFROM Item\nWHERE Itemname = 'Tennis balls')\nWHERE Ordernum = 20;",
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"oracle": "CREATE VIEW vsal \nAS \n SELECT a.deptno \"Department\", \n a.num_emp / b.total_count \"Employees\", \n a.sal_sum / b.total_sal \"Salary\" \n FROM (SELECT deptno, \n Count() num_emp, \n SUM(sal) sal_sum \n FROM scott.emp \n WHERE city = 'NYC' \n GROUP BY deptno) a, \n (SELECT Count() total_count, \n SUM(sal) total_sal \n FROM scott.emp \n WHERE city = 'NYC') b \n;\n\nINSERT ALL\n\tWHEN ottl < 100000 THEN\n\t\tINTO small_orders\n\t\t\tVALUES(oid, ottl, sid, cid)\n\tWHEN ottl > 100000 and ottl < 200000 THEN\n\t\tINTO medium_orders\n\t\t\tVALUES(oid, ottl, sid, cid)\n\tWHEN ottl > 200000 THEN\n\t\tinto large_orders\n\t\t\tVALUES(oid, ottl, sid, cid)\n\tWHEN ottl > 290000 THEN\n\t\tINTO special_orders\nSELECT o.order_id oid, o.customer_id cid, o.order_total ottl,\no.sales_rep_id sid, c.credit_limit cl, c.cust_email cem\nFROM orders o, customers c\nWHERE o.customer_id = c.customer_id;",
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"postgresql": "-- postgresql sample sql\n\ncreate view v2 as \nSELECT distributors.name\nFROM distributors\nWHERE distributors.name LIKE 'W%'\nUNION\nSELECT actors.name\nFROM actors\nWHERE actors.name LIKE 'W%';\n\n\nWITH t AS (\nSELECT random() as x FROM generate_series(1, 3)\n)\nSELECT * FROM t\nUNION ALL\nSELECT * FROM t\n;\n\ncreate view v3 as \nWITH RECURSIVE employee_recursive(distance, employee_name, manager_name) AS (\nSELECT 1, employee_name, manager_name\nFROM employee\nWHERE manager_name = 'Mary'\nUNION ALL\nSELECT er.distance + 1, e.employee_name, e.manager_name\nFROM employee_recursive er, employee e\nWHERE er.employee_name = e.manager_name\n)\nSELECT distance, employee_name FROM employee_recursive;\n\nWITH upd AS (\nUPDATE employees SET sales_count = sales_count + 1 WHERE id =\n(SELECT sales_person FROM accounts WHERE name = 'Acme Corporation')\nRETURNING *\n)\nINSERT INTO employees_log SELECT *, current_timestamp FROM upd;\n\n\n/* not implemented\nCREATE RECURSIVE VIEW nums_1_100 (n) AS\nVALUES (1)\nUNION ALL\nSELECT n+1 FROM nums_1_100 WHERE n < 100;\n*/",
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"redshift": "-- redshift sample sql\n\ncreate view sales_vw as\nselect * from public.sales\nunion all\nselect * from spectrum.sales\n;\n\ninsert into category_ident(catgroup,catname,catdesc)\nselect catgroup,catname,catdesc from category;\n\nUPDATE category \nSET catdesc = 'Broadway Musical' \nWHERE category.catid IN (SELECT category.catid \n FROM category \n JOIN event \n ON category.catid = event.catid \n JOIN venue \n ON venue.venueid = event.venueid \n JOIN sales \n ON sales.eventid = event.eventid \n WHERE venuecity = 'New York City' \n AND catname = 'Musicals'); \n\nupdate category set catid=100\nfrom event join category cat on event.catid=cat.catid\nwhere cat.catgroup='Concerts';\n\nSELECT qtr, \n Sum(pricepaid) AS qtrsales, \n (SELECT Sum(pricepaid) \n FROM sales \n JOIN date \n ON sales.dateid = date.dateid \n WHERE qtr = '1' \n AND year = 2008) AS q1sales \nFROM sales \n JOIN date \n ON sales.dateid = date.dateid \nWHERE qtr IN( '2', '3' ) \n AND year = 2008 \nGROUP BY qtr \nORDER BY qtr; \n\n\nWITH venue_sales \n AS (SELECT venuename, \n venuecity, \n Sum(pricepaid) AS venuename_sales \n FROM sales, \n venue, \n event \n WHERE venue.venueid = event.venueid \n AND event.eventid = sales.eventid \n GROUP BY venuename, \n venuecity), \n top_venues \n AS (SELECT venuename \n FROM venue_sales \n WHERE venuename_sales > 800000) \nSELECT venuename, \n venuecity, \n venuestate, \n Sum(qtysold) AS venue_qty, \n Sum(pricepaid) AS venue_sales \nFROM sales, \n venue, \n event \nWHERE venue.venueid = event.venueid \n AND event.eventid = sales.eventid \n AND venuename IN(SELECT venuename \n FROM top_venues) \nGROUP BY venuename, \n venuecity, \n venuestate \nORDER BY venuename; ",
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"snowflake": "-- snowflake sample sql\n\ncreate or replace secure view myview comment='Test secure view' as select * from mytable;\n\n\ninsert into employees(first_name, last_name, workphone, city,postal_code)\n select\n contractor_first,contractor_last,worknum,null,zip_code\n from contractors\n where contains(worknum,'650');\n \ninsert into employees (first_name,last_name,workphone,city,postal_code)\n with cte as\n (select contractor_first as first_name,contractor_last as last_name,worknum as workphone,city,zip_code as postal_code\n from contractors)\n select first_name,last_name,workphone,city,postal_code\n from cte;\n\ninsert into emp (id,first_name,last_name,city,postal_code,ph)\n select a.id,a.first_name,a.last_name,a.city,a.postal_code,b.ph\n from emp_addr a\n inner join emp_ph b on a.id = b.id;\n\ninsert overwrite all\n into t1\n into t1 (c1, c2, c3) values (n2, n1, default)\n into t2 (c1, c2, c3)\n into t2 values (n3, n2, n1)\nselect n1, n2, n3 from src;\n\ninsert all\n when n1 > 100 then\n into t1\n when n1 > 10 then\n into t1\n into t2\n else\n into t2\nselect n1 from src;\n\ninsert all\ninto t1 values (key, a)\nselect src1.key as key, src1.a as a\nfrom src1, src2 where src1.key = src2.key;\n\n\nmerge into target\n using src on target.k = src.k\n when matched and src.v = 11 then delete\n when matched then update set target.v = src.v;\n\nmerge into target using (select k, max(v) as v from src group by k) as b on target.k = b.k\n when matched then update set target.v = b.v\n when not matched then insert (k, v) values (b.k, b.v);\n\nmerge into members m\n using (\n select id, date\n from signup\n where datediff(day, current_date(), signup.date::date) < -30) s on m.id = s.id\n when matched then update set m.fee = 40;\n\nupdate t1\n set t1.number_column = t1.number_column + t2.number_column, t1.text_column = 'ASDF'\n from t2\n where t1.key_column = t2.t1_key and t1.number_column < 10;\n\nupdate target set v = b.v\n from (select k, min(v) v from src group by k) b\n where target.k = b.k; ",
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"mssql": "-- sql server sample sql\nCREATE TABLE dbo.EmployeeSales \n( DataSource varchar(20) NOT NULL, \n BusinessEntityID varchar(11) NOT NULL, \n LastName varchar(40) NOT NULL, \n SalesDollars money NOT NULL \n); \nGO \nCREATE PROCEDURE dbo.uspGetEmployeeSales \nAS \n SET NOCOUNT ON; \n SELECT 'PROCEDURE', sp.BusinessEntityID, c.LastName, \n sp.SalesYTD \n FROM Sales.SalesPerson AS sp \n INNER JOIN Person.Person AS c \n ON sp.BusinessEntityID = c.BusinessEntityID \n WHERE sp.BusinessEntityID LIKE '2%' \n ORDER BY sp.BusinessEntityID, c.LastName; \nGO \n--INSERT...SELECT example \nINSERT INTO dbo.EmployeeSales \n SELECT 'SELECT', sp.BusinessEntityID, c.LastName, sp.SalesYTD \n FROM Sales.SalesPerson AS sp \n INNER JOIN Person.Person AS c \n ON sp.BusinessEntityID = c.BusinessEntityID \n WHERE sp.BusinessEntityID LIKE '2%' \n ORDER BY sp.BusinessEntityID, c.LastName; \nGO \n\n\nCREATE VIEW hiredate_view \nAS \nSELECT p.FirstName, p.LastName, e.BusinessEntityID, e.HireDate \nFROM HumanResources.Employee e \nJOIN Person.Person AS p ON e.BusinessEntityID = p.BusinessEntityID ; \nGO \n\nCREATE VIEW view1 \nAS \nSELECT fis.CustomerKey, fis.ProductKey, fis.OrderDateKey, \n fis.SalesTerritoryKey, dst.SalesTerritoryRegion \nFROM FactInternetSales AS fis \nLEFT OUTER JOIN DimSalesTerritory AS dst \nON (fis.SalesTerritoryKey=dst.SalesTerritoryKey); \n\nGO \nSELECT ROW_NUMBER() OVER(PARTITION BY PostalCode ORDER BY SalesYTD DESC) AS \"Row Number\", \n p.LastName, s.SalesYTD, a.PostalCode \nFROM Sales.SalesPerson AS s \n INNER JOIN Person.Person AS p \n ON s.BusinessEntityID = p.BusinessEntityID \n INNER JOIN Person.Address AS a \n ON a.AddressID = p.BusinessEntityID \nWHERE TerritoryID IS NOT NULL \n AND SalesYTD <> 0 \nORDER BY PostalCode;",
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"sybase": "-- sybase sample sql\n\ncreate view accounts (title, advance, amt_due)\nas select title, advance, price * total_sales\nfrom titles\nwhere price > $5\n\ncreate view cities\n(authorname, acity, publishername, pcity)\nas select au_lname, authors.city, pub_name,\npublishers.city\nfrom authors, publishers\nwhere authors.city = publishers.city\n;\n\ncreate view cities2\nas select authorname = au_lname,\nacity = authors.city, publishername = pub_name, pcity =\npublishers.city\nfrom authors, publishers\nwhere authors.city = publishers.city\n;\n\ncreate view psych_titles as\nselect *\nfrom (select * from titles\nwhere type = \"psychology\") dt_psych\n;\n\ninsert newpublishers (pub_id, pub_name)\nselect pub_id, pub_name\nfrom publishers\nwhere pub_name=\"New Age Data\"\n;\n\nmerge into GlobalSales\n(Item_number, Description, Quantity)as G\nusing DailySales as D\nON D.Item_number = G.Item_number\nwhen not matched\nthen\ninsert (Item_number, Description, Quantity )\nvalues (D.Item_number, D.Description, D.Quantity)\nwhen matched\nthen update set\nG.Quantity = G.Quantity + D.Quantity\n;\n\nupdate titles\nset total_sales = total_sales + qty\nfrom titles, salesdetail, sales\nwhere titles.title_id = salesdetail.title_id\nand salesdetail.stor_id = sales.stor_id\nand salesdetail.ord_num = sales.ord_num\nand sales.date in\n(select max (sales.date) from sales)\n;",
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"teradata": "-- teradata sample sql\n\nINSERT INTO promotion (deptnum, empname, yearsexp)\nSELECT deptno, name, yrsexp\nFROM employee\nWHERE yrsexp > 10 ;\n\n-- Teradata Database interprets t1 in the scalar subquery as a distinct instance of\n-- t1 rather than as the target table t1 of the insert operation\n/* not supported yet\nINSERT INTO t1 VALUES (1,2,3 (SELECT d2\nFROM t2\nWHERE a2=t1.a1));\n*/\n\n\nINSERT INTO t1\nSELECT a, PERIOD(b, c)\nFROM t2;\n\nUSING (empno INTEGER,\nname VARCHAR(50),\nsalary INTEGER)\nMERGE INTO employee AS t\nUSING VALUES (:empno, :name, :salary) AS s(empno, name, salary)\nON t.empno=s.empno\nWHEN MATCHED THEN UPDATE\nSET salary=s.salary\nWHEN NOT MATCHED THEN INSERT (empno, name, salary)\nVALUES (s.empno, s.name, s.salary);\n\nUSING (empno INTEGER,\nname VARCHAR(50),\nsalary INTEGER)\nUPDATE employee\nSET salary=:salary\nWHERE empno=:empno\nELSE INSERT INTO employee\n(empno, name, salary) VALUES ( :empno, :name, :salary);\n\nUSING (empno INTEGER,\nsalary INTEGER)\nMERGE INTO employee AS t\nUSING (SELECT :empno, :salary, name\nFROM names\nWHERE empno=:empno) AS s(empno, salary, name)\nON t.empno=s.empno\nWHEN MATCHED THEN UPDATE\nSET salary=s.salary, name = s.name\nWHEN NOT MATCHED THEN INSERT (empno, name, salary)\nVALUES (s.empno, s.name, s.salary);\n\nMERGE INTO emp\nUSING VALUES (100, 'cc', 200, 3333) AS emp1 (empnum, name,\ndeptno, sal)\nON emp1.empnum=emp.s_no\nWHEN MATCHED THEN\nUPDATE SET sal=DEFAULT\nWHEN NOT MATCHED THEN\nINSERT VALUES (emp1.empnum, emp1.name, emp1.deptno, emp1.sal);\nMERGE INTO emp\nUSING VALUES (100, 'cc', 200, 3333) AS emp1 (empnum, name,\ndeptno, sal)\nON emp1.empnum=emp.s_no\nWHEN MATCHED THEN\nUPDATE SET sal=DEFAULT(emp.sal)\nWHEN NOT MATCHED THEN\nINSERT VALUES (emp1.empnum, emp1.name, emp1.deptno, emp1.sal)\n;\n\nMERGE INTO t1\nUSING t2\nON x1=z2 AND y1=y2\nWHEN MATCHED THEN\nUPDATE SET z1=10\nWHEN NOT MATCHED THEN\nINSERT (z2,y2,x2);\n\n\nMERGE INTO t1\nUSING (SELECT *\nFROM t2\nWHERE y2=10) AS s\nON x1=10\nWHEN MATCHED THEN\nUPDATE SET z1=z2\nWHEN NOT MATCHED THEN\nINSERT (x2, y2, z2);\n\nUPDATE e\nFROM employee AS e, department AS d\nSET salary = salary * 1.05\nWHERE e.emp_no = d.emp_no;\n\nUPDATE sales_sum_table AS ss\nSET total_sales = (SELECT sum(amount)\nFROM sales_table AS s\nWHERE s.day_of_sale BETWEEN ss.period_start\nAND ss.period_end);\n\n-- The following UPDATE request updates the NoPI table nopi012_t1 aliased as t1.\nUPDATE t1\nFROM nopi012_t1 AS t1, nopi012_t2 AS t2\nSET c3 = t1.c3 * 1.05\nWHERE t1.c2 = t2.c2;",
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"vertica": "-- hp vertica sample sql\n\nCREATE VIEW myview AS\nSELECT SUM(annual_income), customer_state\nFROM public.customer_dimension\nWHERE customer_key IN\n(SELECT customer_key\nFROM store.store_sales_fact)\nGROUP BY customer_state\nORDER BY customer_state ASC;\n\nINSERT INTO t1 (col1, col2) (SELECT 'abc', mycolumn FROM mytable);\n\nMERGE INTO t USING s ON (t.c1 = s.c1)\nWHEN NOT MATCHED THEN INSERT (c1, c2) VALUES (s.c1, s.c2);\n\n-- First WITH clause,regional_sales\nWITH\nregional_sales AS (\nSELECT region, SUM(amount) AS total_sales\nFROM orders\nGROUP BY region),\n-- Second WITH clause top_regions\ntop_regions AS (\nSELECT region\nFROM regional_sales\nWHERE total_sales > (SELECT SUM (total_sales)/10 FROM regional_sales) )\n-- End defining WITH clause statement\n-- Begin main primary query\nSELECT region,\nproduct,\nSUM(quantity) AS product_units,\nSUM(amount) AS product_sales\nFROM orders\nWHERE region IN (SELECT region FROM top_regions)\n;"
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}
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}
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