MYSQL BATCH UPDATE UPDATE

update 1000 rows in the BATCH_TEST tableĭeleting 1000 rows from the BATCH_TEST table looks like the following operation: var define parameter types passed to the query: := 'UPDATE BATCH_TEST SET F_INTEGER=:F_INTEGER, F_FLOAT=:F_FLOAT, F_STRING=:F_STRING, F_DATE=:F_DATE WHERE ID=:OLDID' With Batch operations we can modify all 1000 rows of our BATCH_TEST table just this simple: var insert next 200 rows starting from 800 insert next 300 rows starting from 500 We can insert 1000 records into the BATCH_TEST table in 2 ways.Īll 1000 rows at a time: Query1.Execute(1000) ĥ00 rows, then 300, and finally 200: // insert 500 rows The Offset parameter points the array element, which the Batch operation starts from. In addition, you can pass another parameter – Offset (0 by default) – to the method. The number of inserted rows is defined in the Iters parameter of the Execute(Iters: integer Offset: integer = 0) method.

This command will insert 1000 rows to the table with one SQL query using the prepared array of parameter values. insert 1000 rows into the BATCH_TEST table populate the array with parameter values:įor i := 0 to - 1 do begin define the parameter types passed to the query : := 'INSERT INTO BATCH_TEST VALUES (:ID, :F_INTEGER, :F_FLOAT, :F_STRING, :F_DATE)'

Let’s try to insert 1000 rows to the BATCH_TEST table using a Batch Insert operation: var

MYSQL BATCH UPDATE HOW TO

How to implement a Batch operation in the code? Batch INSERT operation sample Now, 5 records are inserted into the table at a time on query execution. However, parameter values will be enclosed in an array: Parameters When using Batch operations, the query and its parameters remain unchanged. When a simple insertion operation is used, the query parameter values look as follows: ParametersĪfter the query execution, one record will be inserted into the BATCH_TEST table. To insert records into the BATCH_TEST table, we use the following SQL query: INSERT INTO BATCH_TEST VALUES (:ID, :F_INTEGER, :F_FLOAT, :F_STRING, :F_DATE) Batch_Test table generating scriptsĬONSTRAINT PK_BATCH_TEST PRIMARY KEY (ID)įor MS SQL Server: CREATE TABLE BATCH_TEST Let’s have a better look at capabilities of Batch operations with an example of the BATCH_TEST table containing attributes of the most popular data types. Moreover, in contrast to using Loader, Batch operations can be used not only for insertion, but for modification and deletion as well. Such approach increases the speed of data operations dramatically.

MYSQL BATCH UPDATE FULL

The plurality of changes is due to the fact that parameters of such a query will be not single values, but a full array of values. The point is that just one parametrized Modify SQL query is executed. The new version of Devart Delphi Data Access Components introduces the new mechanism for large data processing – Batch Operations. Unfortunately, Loader allows to insert data only – it can’t be used for updating and deleting data. So, for example, insertion of a large portion of data to a DB is supported in the Loader. Therefore Devart provides several solutions to speed up processing of huge amounts of data. Insert, Update and Delete operations have to be performed as fast as possible. In this regard, there is an acute problem – database performance. The message we will get is 19 rows inserted.Data amount processed by modern databases grows steadily. Now 9 records will be updated with new data and one new record ( with id =11 ) will be added. Now let us try updating existing 9 records and add one new record with a new id ( Don't forget to reset table data to old values ) The message we will get is 18 rows inserted. ON DUPLICATE KEY UPDATE social=values(social),science=values(science),math=values(math) Ībove query will update 9 records with new data. INSERT INTO `student3` (`id`, `name`, `class`, `social`, `science`, `math`) VALUES

If a new record is updated with same data then number of affected rows = 0īy using same query we can update multiple records with new data.

If a record is updated with new data then number of affected rows = 2.

If a new record is added ( inserted ) then number of affected rows = 1.

Here MySQL will return the number of affected rows based on the action it performed. We will get a message saying 2 rows inserted, but actually we have updated one record only. INSERT INTO `student3` (`id`, `name`, `class`, `social`, `science`, `math`) VALUES (2, 'Max Ruin', 'Three', 86, 57, 86) on duplicate key update social=86,science=57,math=86 Now same INSERT query query will update the record with new data instead of adding any new record.

Mysql batch update