SQL statement, use the table alias and prefix the alias on each column. in this way, the parsing time can be reduced and the syntax errors caused by column ambiguity can be reduced. (15) Replace in with exists and not exists instead of not in:In many basic table-based queries, to meet one condition, you often need to join another table. in this case, using exists (or not exists) usually improves the query efficiency. in a subquery, the not in Claus
Tutorial on Database Configuration and SQL operations in the PHP Yii framework, and tutorial on yii instances
Database Access (DAO)Yii contains a data access layer (DAO) built on php pdo ). DAO provides a unified set of APIS for different databases. activeRecord provides interaction between databases and models (M, Model in MVC). QueryBuilder is used to create dy
lot of internal work: parsing SQL statements, estimating index utilization, binding variables, and reading data blocks;
(5)You can reset the arraysize parameter in SQL * Plus, SQL * forms, and Pro * C to increase the retrieval data volume for each database access. The recommended value is 200.
(6)Use the decode function to reduce processing time: Use t
comparisons, including whitespace, character case), SQL does not need to be parsed (parsing) to be executed SQL, so try to maintain a uniform style of SQL.Error: Select E.emp_no from EMP E;Yes: SELECT e.emp_no from EMP e;1-2, the date format is clearIf you do not explicitly specify a time format, by default using the time format specified by the Nls_date_format parameter, you may not get the results you wa
Second, SQL structur Query Language Structured Query language, is the object in the Operation relational database.DDL (data definition Language), used to create or delete table operations, and to modify table constraints CREATE TABLE, ALTER TABLE, DROP table additions and deletions to tables structure. DML (Data manipulation language), inserting records into tables, modifying records INSERT, UPDATE, delete, merge transaction, transaction control langu
believe that the 99 SQL, Oracle Basic written test is just like playing (the most complete, the most classic entry-level Oracle query statement)1. Select * from EMP;2. Select Empno, ename, job from EMP;3. Select empno number, ename name, job work from EMP;4. Select Job from EMP;5. Select distinct job from EMP;6. Select distinct empno, job from EMP;Description: Be
34 SQL Optimizations
We should not only write SQL statements, but also write SQL statements with excellent performance. The following sections will help the author learn, extract, and summarize some materials to share with you!
(1) select the most efficient table name sequence (only valid in the rule-based Optimizer ):The
alias and prefix the alias on each column. in this way, the parsing time can be reduced and the syntax errors caused by column ambiguity can be reduced. (15) Replace in with exists and not exists instead of not in:In many basic table-based queries, to meet one condition, you often need to join another table. in this case, using exists (or not exists) usually improves the query efficiency. in a subquery, the not in Clause executes an internal sorting and merging. in either case, not in is the mo
Tags: ROM plan ast div statement inline like Lib with in the process of doing the project, a page uses a similar example of the following SQL query data. For the sake of secrecy and ease of use, I replaced the table names and fields in the project with the system tables and fields in the ORACLE database. in the project I have done. Similar to the All_tables table has about 8W of data, the following
convert ' * ' to all column names in the process of parsing, which is done by querying the data dictionary, which means more time is spent(4) Reduce access to the database: Oracle has done a lot of work internally: Parsing SQL statements, estimating index utilization, binding variables, reading data blocks, etc.;(5) Reset the ArraySize parameter in Sql*plus,
SQL Optimization Tips (1):Connection order in the WHERE clause: Oracle parses the WHERE clause in a bottom-up order, and according to this principle, the connections between tables must be written before other where conditions, those that can filter out a large number of recordsMust be written at the end of the WHERE clause.For exampleInefficient: SELECT * from Report_sale_account Ewhere hsje>5000and DZXL =
Operating Environment: AIX + 11g + PLSQL
Includes the following content:
1. SQL statement execution process
2. optimizer and execution plan
3. Properly apply Hints
4. Indexes and Application Instances
5. Other optimization technologies and applications1. SQL statement execution process 1.1 SQL statement execution steps
1) analyze the syntax and analyze whether th
The Oracle tutorial you are looking at is: Oracle Common SQL statements. Sql*plus System/manager
2. Display the current connected user
Sql> Show User
3. See which users the system has
Sql
SQL Getting Started Tutorial: SQL Right JOIN right-hand
SQL Right JOIN keywordThe RIGHT join keyword returns all rows from the right table (table_name2), even if there are no matches in the left table (table_name1).SQL syntax
SELECT column_name (s) from
table_name1
Label:Go on Some demo --multiple table queries can be implemented with the join operator, which is the main feature of the relational database model.
--when you indicate a connection in the FROM clause, it helps to differentiate the join operation from the search conditions in the WHERE clause.
--In general, connection queries are a bit more efficient than nested queries. Therefore, it is recommended to use this method in Transact-SQL.
Select * f
The ORACLE tutorial is as follows: Oracle PL/SQL getting started.
I. Objective of PL/SQL
Structured Query Language (SQL) is a common Language used to access relational databases. It is a fourth-generation Language (4GL) and its ex
Although the ORM mapping is used in the project, the optimization of the Oracle system is valuable, which summarizes the commonly used statements from the perspective of SQL statements.1. Optimizations in the From field:Oracle Yasuteru Load table data from right to left, and the tables that can exclude the most data should be placed behind (the underlying table).For example, in the context of the query, put
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