MSSQL分区表统计:精准掌控表总数(mssql分区表总数统计)

网友投稿 162 2024-01-22

Partitioning is an important method for managing large data sets in MSSQL databases. Due to the complexity of distributed data, partitioning can reduce the amount of time and resources required for read, write and delete operations. The purpose of this article is to introduce a method for accurately counting the number of records in an MSSQL partitioned table.

The first step is to create a second temporary table with the same structure and number of rows as the partitioned table. Assume that the partitioned table is named “OriginalTable”, it can be created with the following script:

CREATE TABLE OriginalTable (

account_number int NOT NULL,

name varchar(100) NOT NULL,

amount decimal(18,2) NOT NULL

)

The second step is to create a second table “countTable” to hold the count data:

CREATE TABLE countTable (

row_count int NOT NULL

)

The third step is to populate our two tables. For OriginalTable, we need to insert the same amount of rows as in the partitioned table. For countTable, we need to set the row_count to 0:

INSERT INTO OriginalTable

SELECT * FROM partitionedTable;

INSERT INTO countTable

VALUES (0);

The fourth step is to use the cursor to loop through the OriginalTable and calculate the row counts:

DECLARE c1 CURSOR FOR

SELECT COUNT(*)

FROM OriginalTable

OPEN c1

FETCH NEXT FROM c1 INTO @row_count

WHILE @@FETCH_STATUS = 0

BEGIN

UPDATE countTable

SET row_count = @row_count

FETCH NEXT FROM c1 INTO @row_count

END

CLOSE c1

DEALLOCATE c1

Finally, we can get the number of records in our partitioned table by querying the countTable:

SELECT row_count

FROM countTable;

By partitioning our tables in MSSQL, we can accurately count the total number of records in a table without sacrificing performance. This method can save us both time and resources when dealing with large data sets.

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