SQL query to get a list of relations between workitems
How can I create a SQL query to get a list of all problems with related changes? And all problems with related incidents?
I have tried to join the tables RelationshipTypeDim with ProblemDimKey and ChangeRequestDim, but the results are not correct.
The relationships in the data warehouse can be kind of tricky. The relationships are contained in the WorkItemRelatesToWorkItemFactvw table. This table lists the related items by their WorkItemDimKey, so you cannot reference directly from the ChangeRequestDimvw
or ProblemDimvw. You will need to reference the WorkItemDimvw to get the WorkItemDimKey for each entry.
The query below will get all of the related work items from the Change Request class. The way the joins work is ChangeRequestDimvw gets the list of change requests. Then inner joins WorkItemDimvw to get the WorkItemDimKey for each CR. Then inner joins WorkItemRelatesToWorkItemFactvw
to get all of the CRs with related work items. Then inner joins the WorkItemDimvw again to get the ID of the related work item.
Now the tricky part is it appears that these relationship are set based on which item that created the relationship. So you need to union a second query that reverse the relationship on the WorkItemRelatesToWorkItemFactvw.
This query should give you a good start on getting the related work items. You can filter it down from here if you only want to include problems.
SELECT C.ID, WIWI.ID
FROM dbo.ChangeRequestDimvw C
INNER JOIN dbo.WorkItemDimvw WI ON
WI.EntityDimKey = C.EntityDimKey
INNER JOIN dbo.WorkItemRelatesToWorkItemFactvw AS WIRWI ON
WIRWI.WorkItemDimKey = WI.WorkItemDimKey
INNER JOIN dbo.WorkItemDimvw AS WIWI ON
WIWI.WorkItemDimKey = WIRWI.WorkItemRelatesToWorkItem_WorkItemDimKey
union
SELECT C.ID, WIWI.ID
FROM dbo.ChangeRequestDimvw C
INNER JOIN dbo.WorkItemDimvw WI ON
WI.EntityDimKey = C.EntityDimKey
INNER JOIN dbo.WorkItemRelatesToWorkItemFactvw AS WIRWI ON
WIRWI.WorkItemRelatesToWorkItem_WorkItemDimKey = WI.WorkItemDimKey
INNER JOIN dbo.WorkItemDimvw AS WIWI ON
WIWI.WorkItemDimKey = WIRWI.WorkItemDimKey
Order by C.ID
Matthew Dowst |
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I want to write a sql query that shows union f all the [Type] for each [Key] if [Key] has atleast one [Type] in common and for non matched [Key]s it will return the row as it is.
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equivalence classes.
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so rude.
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CREATE TABLE Graph
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node_2 CHAR(1) NOT NULL,
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Here is your data in the correct format.
INSERT INTO Graph
VALUES
(1, 'A', 'B'),
(2, 'B', 'C'),
(3, 'D', 'D'), -- orphan node
(4, 'A', 'E'),
(5, 'F', 'G'),
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Now Google Warshall's Algorithm. It uses three nested loops and an adjacency array. This is very clean and fast in a procedural language. Not so much in SQL. Let us do this in steps:
WITH X1 (edge, node1_1, node1_2, node2_1, node2_2 )
AS
(SELECT CASE WHEN G1.edge <> G2.edge
THEN G1.edge ELSE G2.edge END,
G1.node_1, G1.node_2,
G2.node_1, G2.node_2
FROM Graph AS G1, Graph AS G2
WHERE G1.node_1 IN (G2.node_1, G2.node_2)
AND G1.edge <> G2.edge),
X2 (edge, node_1, node_2)
AS
(SELECT edge,
CASE WHEN node1_1 IN (node2_1, node2_2) THEN node1_2 ELSE node1_1 END,
CASE WHEN node2_1 IN (node1_1, node1_2) THEN node2_2 ELSE node2_1 END
FROM X1)
SELECT DISTINCT edge,
CASE WHEN node_1 < node_2 THEN node_1 ELSE node_2 END,
CASE WHEN node_2 < node_1 THEN node_1 ELSE node_2 END
FROM X2;
The X1 subquery gets the paths of length two. The X2 subquery removes the middle node and creates a new sorted edge. Insert these new rows into Graphs, if they are not there. Repeat the process until no more rows are added.
DROP TABLE Graph;
CREATE TABLE Graph
(edge INTEGER NOT NULL,
node_1 CHAR(1) NOT NULL,
node_2 CHAR(1) NOT NULL,
CHECK (node_1 <= node_2),
PRIMARY KEY (node_1, node_2));
INSERT INTO Graph
VALUES
(1, 'A', 'B'),
(2, 'B', 'C'),
(3, 'D', 'D'), -- orphan node
(4, 'A', 'E'),
(5, 'F', 'G'),
(6, 'G', 'H');
Here is the monster rolled up into a single statement.
INSERT INTO Graph
SELECT DISTINCT edge,
CASE WHEN node_1 < node_2 THEN node_1 ELSE node_2 END,
CASE WHEN node_2 < node_1 THEN node_1 ELSE node_2 END
FROM (SELECT edge,
CASE WHEN node1_1 IN (node2_1, node2_2) THEN node1_2 ELSE node1_1 END,
CASE WHEN node2_1 IN (node1_1, node1_2) THEN node2_2 ELSE node2_1 END
FROM
(SELECT CASE WHEN G1.edge < G2.edge
THEN G1.edge ELSE G2.edge END,
G1.node_1, G1.node_2,
G2.node_1, G2.node_2
FROM Graph AS G1, Graph AS G2
WHERE G1.node_1 IN (G2.node_1, G2.node_2)
AND G1.edge <> G2.edge) AS X1(edge,node1_1, node1_2, node2_1, node2_2) )
AS X2(edge, node_1, node_2)
EXCEPT
SELECT * FROM Graph;
SELECT * FROM Graph ORDER BY edge, node_1, node_2;
1 A B
1 A C
1 B E
1 C E
2 B C
3 D D
4 A E
5 F G
5 F H
6 G H
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
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