Tags: carl Cartesian select from color notation establishes connection HTTPDescartes ' accumulation of poor lift When the connection is not established, the name column of the car table and the Brand_Name column of the brand table are queried by the Cartesian product, which is actually multiplied by the two columns for exhaustive, listing all possibilities Table joins: Querying data together for different columns of multiple tables 1. Transverse connection Select column A, column B from table
2017-02-10 Reliable data Transmission principle introduction
3.4 Principle of reliable data transmission
Reliable Data Transfer Protocol (reliable data Transfer Protocol)
Unidirectional data transfer (unidirectional data transfer)
Bidirectional data transfer (bidirectional data transfer) (i.e. full duplex data transfer)
3.4.1 structure reliable Data transmission protocol
1. Reliable data transfer via fully reliable channel: Rdt 1.0
Finite state machi
of the application system. The old version has no users table space. The user table space is now users. 5. Data and Index Table space: The table space for data and index, Oracle7 is advocated in the application system, especially with a large number of data systems, to separate the data and indexes in different partitions, in order to improve the query speed. The index table space may be indx after installation. The data table space is the users. 6. Rollback segment Tablespace (Rollback Segment
Source: Multi-layered parsing problems encountered when parsing with JSON parameters in SQL Server 2017To develop a new system, the DB section uses the JSON parsing method that SQL Server comes with from version 2016.Used for almost half a year, in individual projects, as well as part of the company's projects, and for the time being there were no major problems, and performance issues.Today in the parsing of JSON multilevel parameters encountered a little problem, here to record:The contents of
1. Learn the points of knowledge:Database operation Syntax:SqlConnection Database Connection ObjectSqlConnection con =new SqlConnection ();Con.open ();//Open databaseSqlCommand Database Operations CommandSQlCommand com =new SQlCommand ();com.commandtype=com.commandtext;//operation type is a database SQL statementcom.commandtext= "SELECT * from TB";//SQL statement executedCom. Parameters.Add ("@id", SqlDbType.Int);//define an input parameter @id the search value for the SQL statement such as: SEL
MySQL Flip-flopFormat: 1, trigger definition:CREATE TRIGGER trigger_name trigger_time trigger_eventOn tbl_name for each ROW trigger_stmtDescription# Trigger_name: Trigger Name# Trigger_time: Trigger time, desirable value: before or after# Trigger_event: Trigger event, desirable value: INSERT, update, or delete.# Tb1_name: Specify on which table# trigger_stmt: Triggers the processing of SQL statements.Example:Mysql> delimiter $$Mysql> CREATE trigger Del_stu before delete on Stu for each rowBeginI
The vast network, a Baidu on the cdsn, very good, there are so many Daniel, so rich content, I like to fall into the rice jar of small mice, ah, is a small white mouse, very white and white.Yesterday in Cdsn stroll a bit, found there is a knowledge base, also great, I can search the article are linked to here, later to find is too convenient. ha haha ~ ~ ~
All right, cut the crap, let's get down to the 2017 plan: learn python.Do websiteDo crawlers ad
about making SQL queries sorted by field me_createtime by monthUse functions: Date_format Group queries by month and sort by monthOn the Code$sql = "Select Date_format (me_createtime, '%y-%m ') as Create_month,count (me_id) as Me_num from {$SETTING [' db '] [' prefix '] }member where Me_state in (the) and sm_id= ' $sm _id ' GROUP by Date_format (Me_createtime, '%y-%m ') Order by Date_format (Me_cre Atetime, '%y-%m ') desc "; SQL query groups data by month by field (
the course table, where two tables have COURSE.CNO=SCORE.CNO connections -- use a table with more data to query the main table, where score is the main table Second, aggregate function 1, Max,min: Take maximum value, minimum value --inquire about the car with the lowest fuel consumption SELECT * FROM car where oil= (select max (oil) from car) 2, Avg: Averaging --Check the average price of the car Where as is used to alias 3, Count: Take the total number --Find out how many cars there are. i
Tags:escupdate modify delete sort lteselect query statement key Conditional modification:Update table name set column name = value where column name = valueConditional Delete:Delete from table name where column name = valueAdvanced QueryConditional queryCheck column * Instead of columns to view, comma separated by multiple columnsFilter criteria where column name = >= Fuzzy querySELECT * FROM table name where column name like '% value% '% wildcardSort queriesSELECT * FROM table name where order
Creating a database: Create datebase database name Note: The database name cannot be Chinese, cannot start with a number, and cannot begin with a symbol.Delete database:drop datebase database nameCreating table:create TABLE table name(Column name data type,......Set Primary key column: Primary keySet unique columns: UniqueSet non-null: NOT NULLSet self-increment column: Identity (1) count, 1 per increment)Delete tables:drop table Table nameAdd column:ALTER TABLE name add column name data typeDel
. A file can have multiple virtual addresses (identified by multiple vm_area_struct) but can have only one physical address (address_space data structure).
Each Address_space object has a unique base tree. Motoki is a binary tree that can quickly retrieve the desired data in the base tree as long as the file offset is specified.
This data is called dirty data when the page cache data is newer than the data stored in the background.
Writeback in the Linux page cache is done by the flu
offset is specified. Page Cache search function Find_get_page () to call Radix_tree_lookup (), the function searches the specified base tree for the specified page.PS: Learning so much about the implementation of the Linux system, more and more the importance of data structure, the first sense of data structure This course is "waste", it may be that I write too little code. Now it seems that the data structure is really the art of art.Multithreading to avoid congestionA single thread may clog u
(lines of code added or removed)
Create patches with GIT commands
Commit a modified or new codegit commit -aCommit all the modified codeORgit commit linux-src/some/file.cTo commit a modified codeORgit add linux-src/some/new-file.cAdd new files to the repositorygit commit -aSubmit a new fileGenerate Patchesgit format-patch -Nn is a positive integer, this command generates a patch from the last n commitsORgit format-patch -1Patch generated by last 1 commitsApply PatchesSame as
own virtual machine Win7 is able to monitor the link into the Trojan, but then Wang Kali attack my Win7 (the same LAN) is not listening, his computer can ping my computer, but my ping does not pass his, Check that the firewall has been shut down, we suspect that the lab router may have made a security configuration.Because it is the first contact with the security system and software, so this experiment thanks to Wang classmate's guidance, encountered the problem after careful pondering after t
] ... SET1 [SET2] usage 2:# tr-d SET1 It is important to note that this command does not modify the source file.Iv. PipelinesA pipeline is a connection between a command and a command, and the principle is to pass the output of the COMMAND1 through the pipeline to COMMAND2, which directs the output of the previous command directly to a program and treats it as its data stream. Use the following:# COMMAND1 |COMMAND2 | COMMAND3So let's talk about the tee command, which is used to output standard i
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