问题
I like to use Table Valued functions in MATCH clauses in the same way as is possible with Node tables. Is there a way to achieve this?
The need for table valued functions
There can be various use cases for using table valued functions or views as Node tables. For instance mine is the following.
I have Node
tables that contain NVarChar(max)
fields that I would like to search for literal text. I need only equality searching and no full text searching, so I opted for using a index on the hash value of the text field. As suggested by Remus Rusanu in his answer to SQL server - worth indexing large string keys? and https://www.brentozar.com/archive/2013/05/indexing-wide-keys-in-sql-server/. A table valued function handles using the CHECKSUM index; see Msg 207 Invalid column name $node_id for pseudo column in inline table valued function.
Example data definitions
CREATE TABLE [Tags](
[tag] NVarChar(max),
[tagHash] AS CHECKSUM([Tag]) PERSISTED NOT NULL
) as Node;
CREATE TABLE [Sites](
[endPoint] NVarChar(max),
[endPointHash] AS CHECKSUM([endPoint]) PERSISTED NOT NULL
) as Node;
CREATE TABLE [Links] as Edge;
CREATE INDEX [IX_TagsByName] ON [Tags]([tagHash]);
GO
CREATE FUNCTION [TagsByName](
@tag NVarChar(max))
RETURNS TABLE
WITH SCHEMABINDING
AS
RETURN SELECT
$node_id AS [NodeId],
[tag],
[tagHash]
FROM [dbo].[Tags]
WHERE [tagHash] = CHECKSUM(@tag) AND
[tag] = @tag;
[TagsByName]
returns the $node_id with an alias NodeId
as suggested by https://stackoverflow.com/a/45565410/814206. However, real Node tables contain two more internal columns which I do not know how to export.
Desired query
I would like to query the database similar to this:
SELECT *
FROM [TagsByName]('important') as t,
[Sites] as s,
[Links] as l
WHERE MATCH ([t]-([l])->[s])
However, this results in the error1:
Msg 13901, Level 16, State 2, Line ...
Identifier 't' in a MATCH clause is not a node table or an alias for a node table.
I there a way to do this?
PS. There are some workarounds but they do not look as elegant as the MATCH
-query; especially considering that my actual query involves matching more relations and more string equality tests. I will post these workarounds as answers and hope that someone comes with a better idea.
1This gives a very specific difference between views and tables for Difference between View and table in sql; which only occurs in sql-server-2017 and only when using SQL Graph.
回答1:
Workaround
Revert to traditional relational joins via JOIN clauses or FROM with <table_or_view_name> and WHERE
clauses. In queries that match on more relations, the latter has the advantage that sql-server-2017-graph can MATCH on FROM <table_or_view_name> but not on FROM <table_source> JOIN <table_source>.
SELECT *
FROM [TagsByName]('important') as t
[Sites] as s,
[Links] as l
WHERE t.NodeId = l.$from_id AND
l.$to_id = s.$node_id;
回答2:
Workaround
Add the Node
table twice to the from clause: once as table and once as table valued function and join them via the $node_id
in the where clause:
SELECT *
FROM [TagsByName]('important') as t1,
[Tags] as t2,
[Sites] as s,
[Links] as l
WHERE MATCH ([t2]-([l])->[s]) AND
t1.[NodeId] = t2.$node_id
Does this affect performance?
回答3:
Workaround
Do not use the table valued function, but include its expression in the WHERE
clause:
SELECT *
FROM [Tags] as t,
[Sites] as s,
[Links] as l
WHERE MATCH ([t]-([l])->[s]) AND
[t].[tagHash] = CHECKSUM('important') AND
[t].[tag] = 'important'
Downside: This is easy to get wrong; for example by forgetting to join on the CHECKSUM
来源:https://stackoverflow.com/questions/45708948/use-views-and-table-valued-functions-as-node-or-edge-tables-in-match-clauses