1. Query which stored procedures (hereinafter referred to as SP) are used by a table to:SELECT DISTINCT object_name (ID) from syscomments where ID in(select id from sysobjects where type = ' P ') and the text like '%tablename% '2. Find those procedures to update the table:SELECT DISTINCT object_name (ID) from syscomments where ID in(select id from sysobjects where type = ' P ') and the text like '%update tablename% 'SQL Server
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displayed at a timeExample: Find out the displacement of the car between 400,000 to 500,000ORDER BY clause: ORDER BY column nameNOTE: ASC arranges desc in descending order by ascendingExample 1: Sort by car price in ascending orderExample 2: According to the car's fuel consumption in descending order, the same as fuel consumption, by car price descending orderNote: If a table has the price of the fruit and the inventory of the two columns, but there is no cost this column, to calculate the cost
database will faint.In addition, execution plans can be reused, and the simpler SQL statements are more likely to be reused. Complex SQL statements have to be re-parsed as long as one character changes, and then the bulk of the garbage is stuck in memory. It is conceivable how inefficient the database will be.4. Staging intermediate results using temporary tableAn important way to simplify
IntroductionThe SQL language is an easy-to-learn yet powerful language that allows you to quickly get started and write more complex query statements. But for most developers, using SQL to query a database does not have an abstract process and a reasonable step, which is likely to be "stuck" when writing specific SQL query statements to solve a particular problem
SQL language is a simple but powerful language that allows you to quickly get started and write more complex query statements. But for most developers, using SQL to query a database doesn't have an abstract process and a reasonable step, this is likely to lead to a "card" when writing specific SQL query statements to solve specific problems, and this series focus
Cause: "SQL Server blocked access to component ' Ad Hoc distributed Queries ' STATEMENT ' Openrowset/opendatasource" when replicating data from a remote server to local Because this component has been shut down as part of this server's security configuration. System administrators can enable ' Ad Hoc distributed Queries ' by using sp_configure. For more informati
service to perform full-text indexing and querying, consider: Configure the virtual memory size to be at least 3 times times the physical memory installed on the computer. Configure the SQL Server max server memory server configuration option to 1.5 times times the physical memory (half of the virtual memory size setting). 7. Increase the number of server CPUs, but it is important to understand that parallel processing of serial processing requires r
Label:Hibernate returns the processing of result sets using native SQL queries Today is OK, see the company framework there is a native SQL write function, said really before I did this thing, but for a long time no use, have forgotten almost, and now basically use the HQL statement to query the results. Hibernate uses Createsqlquery to implement
---restore content starts---(i) the use of SQL associated queries (various joins)These days because of work, found that their SQL statement Foundation is not very good, deliberately researched, found that SQL statement is really profound, SQL statement is not only to find ou
Error: SQL Server blocked access to STATEMENT ' openrowset/opendatasource ' of component ' Ad Hoc distributed Queries ' because this component has been shut down as part of this server's security configuration Closed. System administrators can enable ' Ad Hoc distributed Queries ' by using sp_configure. For more information about enabling ' Ad Hoc distributed
Delphi ADOCross-database access statements are as followsSelect * from OpenDataSource('SQLOLEDB','Data Source=server; User Id=sa; Password=123'). erp_logon.dbo.yq_userswhereUserno= 'Admin' andPwd= '040' andDb= 'Book set 1'Error content: SQL Server blocked access to component ' Ad Hoc distributed Queries ' STATEMENT ' Openrowset/opendatasource ', Because this component has been shut down as part of this s
up to 32 layers. Individual queries may not support 32-tier nesting. 5. Any place where you can use an expression can use a subquery, as long as it returns a single value. 6. If a table appears only in the subquery and does not appear in the outer query, the columns of the table cannot be included in the output. three, simple sub-query Example: Select from person
where >
(
Selectfrom person where='
Sun Quan '
) The output is: four,
the charindex or like method to implement parameterized queries , without a doubt, this method succeeds, and successfully reused the query plan, but also completely invalidate the query index (not discussed in the index topic), the result is a full table scan, If the amount of data in the table is large, millions, tens, or even more, such a writing will have disastrous consequences; if the amount of data is small, just want to use parametric implemen
Today, Unit 1 ASP.. Net website, which has a function to export data. If any data is exported, an error is returned. The error message is: SQL Server blocks access to the statement 'openrowset/OpenDataSource 'of the 'ad hoc distributed queries' component because this component has been disabled as part of the server's security configuration. The system administrator can enable 'ad hoc distributed
Label:Today wrote an Excel table import feature, results in Excel table content import to page times wrong: SQL Server blocked the STATEMENT ' openrowset/for component ' Ad Hoc distributed Queries ' OpenDataSource ' access because this component has been shut down as part of this server's security configuration. System administrators can enable ' Ad Hoc distributed Quer
the argument, a lot of kinky think of a variety of alternativesScenario 1, using the charindex or like method to implement parameterized queries , without a doubt, this method succeeds, and successfully reused the query plan, but also completely invalidate the query index (not discussed in the index topic), the result is a full table scan, If the amount of data in the table is large, millions, tens, or even more, such a writing will have disastrous c
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