query, the query time is proportional to the total length of the field value, so the char type cannot be used, but varchar. Create a full-text index for a long field value. 9. database server and Application Server are separated. OLTP and OLAP are separated. 10. The distributed partition view can be used to implement Database
Tags: ALT service part HTTP technology sharing component SSMs table infSQL Server services for managing SQL Server servicescan provide data storage, processing, controlled access, is the most basic SQL Server System servicesSQL Server
standardize data. These include functions similar to "blur" matching and grouping, so that those that appear to be the same data (just through different imports and exports) can be filtered out and standardized. A good example of this is the different kinds of data from different geographic regions: the same ideas can be expressed in different ways, and they need to be standardized before being processed.
Connecting to the Analysis Services cube
Yo
Recently, due to work needs, I hope to make a comprehensive summary of the considerations related to SQL Server database performance optimization. After searching online, I found manyArticleSome of them list hundreds of entries, but you can see that there are a lot of seemingly incorrect or outdated information (which may be applicable to versions earlier than SQL
Technical preparation
Based on the SQL SERVER2008R2 version, a simpler case library (Northwind) of Microsoft is used for parsing.
First, data connection
Data connections are the most commonly used when we write T-SQL statements, and we get the data we want through the association of two tables.
SQL Server supports
A cube is a special kind of database that, in its default mode (MOLAP), aggregates data from fact tables and dimension tables in a data warehouse into a separate set of file systems. Aggregated data is improved in statistical performance and allows users to generate simple reports through simple front-end tools such as Excel.
This will describe how to make a simple cube.
The version used in this article i
parallel level based on the system load, complex queries that consume a large amount of CPU are most suitable for parallel processing. However, Update, Insert, and Delete operations cannot be processed in parallel. 8. If you use like for query, you cannot simply use index, but the full-text index consumes space. Like 'a % 'when the index like' % a' is used and like '% a %' is not used for the query, the query time is proportional to the total length of the field value, so the CHAR type cannot
run on the Windows platform. It provides better support for. net programs and is sufficient for general applications. Basically, database products other than SQL Server are rarely used in the. net camp:. net + SQL SERVER + windowsOracle: Most platforms are supported, but the performance in windows is lower than that i
time is proportional to the total length of the field value, so the CHAR type cannot be used, but VARCHAR. Create a full-text index for a long field value.
9. Separate DB Server and APPLication Server; Separate OLTP and OLAP
10. Distributed partition view can be used to implement Database Server consortium. A consorti
impossible to design a system completely according to the standardization. Unless the system is very small, it is necessary to add redundancy in a planned manner after the standardization design.
Redundancy can be a redundant database, a redundant table, or a redundant field. redundancy at different granularities can play different roles.
Redundancy can be increased for programming convenience or for performance improvement. From a performance perspective, redundant databases can distribute
will still be distributed across two pages-in addition to periodically rebuilding the index, you cannot constantly control the percentage of padding. When the page density needs to be adjusted, the use of filltactor needs to be considered in the following ways:
In the case of an OLTP system (often added and removed), a lower fillfactor is required.
In the case of OLAP or other systems that are very stable (almost no additions and deleti
Analysis Management Objects (AMO) is the object Model Library of SQL Server SSAS, which allows easy access to and control over objects in SSAS, including Cube,datasource, DataSourceView, Partition, Measure, Dimension, Assembly, role, and DataMining objects. To use it, you must locate the SSAS installation path MicrosoftSQL server90sdkassemblies on the machine, Th
, optimize access methods, and limit the data volume of the result set based on the query conditions. Note that the fill factor should be appropriate (preferably the default value 0 ). The index should be as small as possible. Use a column with a small number of bytes to create an index (refer to the index creation). Do not create a single index for fields with a limited number of values, such as gender fields.
5. Improve Network Speed
6. Expand the server
disperse the concurrency pressure of the large scale data, also can speed up the speed of special query, the redundant field can reduce the connection of database table effectively and improve the efficiency.3.Design of the primary keyThe primary key is necessary, and the primary key for SQL Server is a unique index, and in practice, we tend to choose the smallest key group to work as the primary key, so t
OverviewSQL Server 2014 is known as a revolutionary version of Microsoft's database, and its performance has been boosted to the greatest extent ever.The updatable Columnstore index, as one of the key features of SQL Server 2014, is a significant contributor to improving query performance in the database. According to Microsoft statistics, in the
not used for the query, the query time is proportional to the total length of the field value, so the char type cannot be used, but varchar. Create a full-text index for a long field value.
9. Separate DB server and application server; Separate OLTP and OLAP
10. Distributed partition view can be used to implement Database Se
Tags: SQL Server optimizationAlthough the query speed is a lot of reasons, but if through a certain optimization, you can also make the query problem to a certain extent to be resolved.The reasons for the slow query are many, and the following are common:
No index or index is not used (this is the most common problem of slow query, is the defect of program design)
I/O throughput is small, creat
. The full-text index is long for the value of the field.9. Separation of DB server and application server; OLTP and OLAP separation10. A distributed partitioned view can be used to implement a federation of database servers. A consortium is a set of servers that are managed separately, but they work together to share the processing load of the system. This mecha
Today, when you write a statement, you execute it inside the Query Analyzer
To use the 10s, another way of writing is only less than 1s time, colleagues say because of the sequence of SQL sentence execution reasons. I've seen a little bit before.
Close the book, have a little impression, to find information on the Internet, under study.
Logical query Processing steps
Copy Code code as follows:
(8) SELECT (9) DISTINCT
(one) (1) From (
, or image column
2^31-1
Number of characters per ntext or nvarchar (max) column
2^30-1
Number of clustered indexes per data table
1
Number of columns in GROUP by and ORDER by
Limited by byte count only
Number of columns or expressions in the GROUP by with CUBE or with ROLLUP statement
10
Number of columns per index key 7
16
Number of colu
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