Mass updating sql database

02-Dec-2017 07:40 by 7 Comments

Mass updating sql database - freitas leilaoo online dating

BOUGHT_IN_CONTROL_PANEL_FILE_ID FROM ( SELECT ID = CAST(NULL AS INT) , PARENT_ID = CAST(NULL AS INT) , BOUGHT_IN_FORM_TYPE_ID = CAST(NULL AS INT) , PRIORITY = CAST(NULL AS INT) , NAME = CAST(NULL AS NVARCHAR(MAX)) , HEADING = CAST(NULL AS NVARCHAR(MAX)) , DESCRIPTION = CAST(NULL AS NVARCHAR(MAX)) , ICON = CAST(NULL AS NVARCHAR(MAX)) , BOUGHT_IN_CONTROL_PANEL_FILE_ID = CAST(NULL AS INT) UNION ALL SELECT 109, 1, 28, 100, 'Tooling' , 'Tooling' , 'Enter your Machine Tools here', 'tooling.png' , null UNION ALL SELECT 1 , 0, 1 , 200, 'Bought In', 'Bought In', '' , 'boughtin.png', null ) AS newdata JOIN bought_in_control_panel AS bicp ON newdata. ID Caveat 1: this should be valid syntax for MSSQL, but I didn't test it and I don't know how standard all the syntax is so you might need tweaks for postgres (for instance not all query interpreters let you get away with not naming the columns after the first SELECT in a sequence of UNIONs). Now you can ask questions directly to me on my new site ASPForums.

The fastest way to speed up the update query is to replace it with a bulk-insert operation.

The required indexes and constraint can be created on a new table as required.

The code below shows how the update can be converted to a bulk-insert operation. The bulk-insert can then be further optimized to get additional performance boost.

You can post such a request to the Postgres mailing list: postgresql.org/community/lists UPDATE bought_in_control_panel b SET ( parent_id, bought_in_form_type_id, priority, name, heading, description, icon, bought_in_control_panel_file_id) = (v.parent_id, v.bought_in_form_type_id, v.priority, v.name, v.heading, v.description, v.icon, v.bought_in_control_panel_file_id) FROM ( VALUES (109,1,28,100,'Tooling','Tooling','Enter your Machine Tools here','tooling.png',null) , (1,0,1,200,'Bought In','Bought In','','boughtin.png',null) ) AS v(id,parent_id,bought_in_form_type_id,priority,name,heading ,description,icon,bought_in_control_panel_file_id) WHERE = v.id; You still have to list all columns, but you can trim some noise and its easier to assemble a list, copy it and prepend the table alias of the source table. You can even UPDATE bought_in_control_panel b SET parent_id = v.parent_id , ( bought_in_form_type_id, priority, name, heading) = (v.bought_in_form_type_id, v.priority, v.name, v.heading) , ( description, icon, bought_in_control_panel_file_id) = (v.description, v.icon, v.bought_in_control_panel_file_id) FROM ( VALUES (109,1,28,100,'Tooling','Tooling','Enter your Machine Tools here','tooling.png',null) , (1,0,1,200,'Bought In','Bought In','','boughtin.png',null) ) AS v(id,parent_id,bought_in_form_type_id,priority,name,heading ,description,icon,bought_in_control_panel_file_id) WHERE = v.id; UPDATE bicp SET PARENT_ID = newdata.

NOTE: The cast for UPDATE bicp SET PARENT_ID = newdata.

Using Mass Change, a developer can set up a series of INSERT, UPDATE, or DELETE SQL statements that the end user can execute to perform business functions.

The overall structure of Mass Change is similar to that of People Soft Query, except that Query the database. Support will be maintained for this product, but no new development will be produced for Mass Change.If you used Mass Change in previous People Soft releases, it is strongly recommended that you use Application Engine instead.In addition to the clustered index update, the index ix_col1 is also updated.The index update and Sort operation together take 64% of the execution cost. Removing index on the column to be updated The same query takes 14-18 seconds when there isn’t any index on col1.For small numbers of rows requiring updates, it can be adequate to use an UPDATE statement for each row that requires an update.

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