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We want to do not only write SQL, but also to do a good performance of the SQL, the following for the author to learn, extract, and summarized part of the information to share with you! (1) Select the most efficient table name order (valid only in the Rule-based optimizer): The ORACLE parser processes the table names in the FROM clause in Right-to-left order, and the last table in the FROM clause (the underlying table driving tables) is processed first, In the case where multiple tables are included in the FROM clause, you must select the table with the least number of records as the underlying table. If...
To select the data that matches the specified criteria, add the WHERE clause to the SELECT statement. WHERE clause To select the data that match the specified criteria, add a WHERE clause to the SELECT statement. Syntax SELECT column FROM table WHERE column operator value The following operators can be used with the WHERE clause: Operator Description = Equal! = Not equal> Greater than <...
MySQL database sql statement commonly used optimization methods 1. Query optimization, should try to avoid full table scan, should first consider where and order by the columns involved in the establishment of the index. 2. Should be avoided in the where clause on the field null value judgment, otherwise it will cause the engine to abandon the use of indexes and full table scan, such as: select id from t where num is null You can set the default value of num 0, to ensure that Num column table does not null value ...
A few suggestions to improve SQL execution efficiency: Try not to include subqueries in where; queries about time, try not to write: where To_char (dif_date, ' yyyy ') =to_char (' 2007-07-01 ', ' yyyy '); In the filter condition, the condition in which the maximum number of records can be filtered must be placed at the end of the WHERE clause, and the last table (underlying table, driving table) in the FROM clause will be first ...
Hive in the official document of the query language has a very detailed description, please refer to: http://wiki.apache.org/hadoop/Hive/LanguageManual, most of the content of this article is translated from this page, Some of the things that need to be noted during the use process are added. Create tablecreate [EXTERNAL] TABLE [IF not EXISTS] table_name [col_name data_t ...
The cloud storage solution with NoSQL technology is maturing, but the idea of SQL database dominates. This can lead to the use of SQL to resolve NoSQL data modeling issues. Based on the author's Cassandra Project development and project implementation experience, this paper makes some brief guidance on NoSQL modeling. The article does not have the specific syntax guidance data modelling, these questions please refer to the Apache website. Cassandra has been upgraded to the top-level project of the Apache organization. Currently maintain a very fast development upgrade speed. Apache ...
The cloud storage solution with NoSQL technology is maturing, but the idea of SQL database dominates. This can lead to the use of SQL to resolve NoSQL data modeling issues. Based on the author's Cassandra Project development and project implementation experience, this paper makes some brief guidance on NoSQL modeling. The article does not have the specific syntax guidance data modelling, these questions please refer to the Apache website. Cassandra has been upgraded to the top-level project of the Apache organization. Currently maintain a very fast development upgrade speed. Apache ...
CIO: Why is the super [commercial-level RDBMS] system not in sufficient stamina? Didn't we just get a grade? Manager: Yes, but the upgrade was not accepted. CIO: Not accepted? It sounds like a doctor transplanting an organ. Is there a rejection of the CPU? (laughter) Manager: (calmly) No, it's just not accepted by the user. The system is still too slow. CIO: We've been http://www.aliyun.com/zixun/aggregation/11585.html&quo ...
When companies consider cloud computing services, every good project manager should ask the following questions: "Who is my data in the cloud?" "What happens when I need to migrate this data?" "For private clouds, hardware, software and data are all inside the company, so ownership is clear." However, there are a number of complex issues to consider when migrating data to the outside of a private cloud. The entire industry is focused on cloud security, privacy and dominance. The blurring of data ownership is the root cause of all cloud-related problems. Consider whether the data exists ...
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