webpagetest speed index

I read a foreign article on the Internet, which introduced the tips for improving Lucene indexing speed and shared it with you. First, let's take a look at the main factors that affect the index: MaxMergeDocs this parameter determines the number of index documents written into the memory. When this number is reached, the memory

----people in the use of SQL often fall into a misunderstanding, that is too focused on the results are correct, and ignore the different implementation methods may exist between Performance variance, which is particularly evident in large or complex database environments, such as online transaction processing OLTP or decision support system DSS Explicitly In the work practice, the author finds that bad SQL often comes from improper index design, inad

My friend built an index on a million table and it didn't end in half an hour. So we will discuss how to speed up. I. First, let's take a look at the operations to create an index: 1. Read the data of the index key to the memory. ==> If data is not in db_cache, it is easy to have a large number of db file scatter read

Tags: XML implementation creation and procedure configuration parameter table name checkIn SQL Server database operations, we can implement queries by index when there are more records in the database. However, when the index fragment is too much, it can seriously affect the speed of the query. There are two ways to solve this: one is to defragment the

use of indexes Index is an important data structure in database, and its basic aim is to improve the efficiency of query. Most of the database products now use IBM's first proposed ISAM index structure. The use of indexes is just right, with the following principles: Indexes are established on columns that are frequently connected but not specified as foreign keys, while fields that are not frequently co

To implement the fuzzy search function of the search engine, use the SQL keyword like to implement pattern matching. Now we have a database named T1 with 10 thousand records. The title field is a text field, the length is 255, and the body is a comment field. See the following SQL statement: Select * from T1 where title like '% thunder %' In this case, all records with 'thunder 'contained in the title field in Table 1 are returned. Since title is a text field and has a small length, the se

Database Table A has 100,000 records, and the query speed is normal. However, after importing one thousand data records, the problem occurs. When the selected data is between the original 100,000 records, the speed is still quite fast; but when the selected data is between the one thousand data records, the speed becomes very slow. Based on experience, this is an

Database Table A has 100,000 records, and the query speed is normal. However, after importing one thousand data records, the problem occurs. When the selected data is between the original 100,000 records, the speed is still quite fast; but when the selected data is between the one thousand data records, the speed becomes very slow. Based on experience, this i

Sort index fragments to improve the speed of SQL Server. For details, refer. Sort index fragments to speed up SQL Server. For details, refer. Database Table A has 100,000 records, and the query speed is normal. However, after importing one thousand data records, the problem

To increase the query speed, generally: 1. Create a primary key for fields that do not need to be deleted; create an index for fields that may be deleted. 2. If you submit 5 million numbers at a time, each of them must be compared with the 90 million numbers in the database. Create a table with 90 million numbers. One field is the number field, and set this field as the primary key. If the first 100 items a

Explore the impact of index and commit frequency in MySQL on the write speed of InnoDB tables, mysqlinnodb This time, let's take a look at the impact of the index and commit frequency on the write speed of InnoDB tables and learn what needs to be paid attention. Let's make a few conclusions: 1. Impact of indexes on wri

1. Proper use of indexesAn index is an important data structure in a database, and its fundamental purpose is to improve query efficiency. Most database products now use the ISAM index structure first proposed by IBM.The use of indexes is just right, and the following principles are used: Indexes are established on columns that are frequently connected but not specified as foreign keys, and fields

After downloading the Win7 64-bit system, with the search function, we usually use this feature to find the files in the system, so that we can help us to search related files, it is regrettable that Windows search function in the search process is relatively slow, so very few users will go to use the system with the search function, In fact, in the Win7 system we can add search index, so that we can effectively improve the

. There are generally two ways to solve this, one is to defragment the index with DBCC INDEXDEFRAG, and the other is to rebuild the index with DBCC DBREINDEX. Each has its advantages and disadvantages. The quote from Microsoft is as follows:The DBCC indexdefrag command is an online operation, so the index is available only if the command is running. And you can b

Compared to MySQL5.1 and MySQL5.5, you only need to update the index page, which is faster than before. However, when creating a clustered index (primary key) or a foreign key Compared to the index creation speed of MySQL 5.1 and MySQL 5.5, you only need to update the index

In MySQL5.1.X, create and delete clustered indexes: 1. Create an empty table with the same structure as the original table, and then create a clustered index. 2. copy the data from the original table to the new table, an exclusive lock will be applied to the original table. In MySQL5.1.X, create and delete clustered indexes: 1. Create an empty table with the same structure as the original table, and then create a clustered

table, You only need to update the index page, which is faster than before. However, when creating a clustered index primary key or a foreign key, you still need to copy the content of the entire table, because the clustered index stores the primary key and row data together, the secondary index is stored separately,

Storage System has a table, 40 million data, according to the creation time to clean up. There is no index on the creation time, except that the data is based on the insert of the creation time. This will write a script according to the ID ascending 2000 each time, and then delete. This way, only the data to be scanned satisfies the time condition, and the speed is the same as the

: +----+-------------+------------+------+-----------------------+--------------+---------+-------+------+------- ------+ | id | select_type | table | type | Possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+------+-----------------------+--------------+---------+-------+------+------- ------+ | 1 | Simple | user_group | ref | group_id,group_id_uid | group_id_uid | 4 | const | 5378 | Using

Today encountered a query problem, add a query parameter caused by query super-times yellow, after the company DBA Improvement, up posture. Now send to share with you! ~SELECT m.* from Tb_usersitegroup u with (NOLOCK), Message.dbo.View_Message_8 m with (NOLOCK) WHERE m.fromuserid = U. UserID and U.adminid =880982 and m.state=1 and m.touserid=0 and U.siteid = 8ORDER by m.time DESCThis is the original SQL, with the extra U. Adminid = 880982 parameter causes the query to time out.The query fol