Mysql-uxxx-pyyyUse lottery;Select COUNT (id) from mop_bet_order_history where Created_at Statistics mop_order_history number of data bars before 2015-11-01COUNT (ID) Statistics Bar numberSELECT * from mop_bet_order_history where Created_at In the
Sql*loader (SQLLDR) is a high-speed batch data loading tool for Oracle. This is a useful tool for loading data into the Oralce database in a variety of flat file formats. Today I saw the application for the use of *loader, I have a small try,
Here is the simplest test with Excel data.
1 Save Excel data as T.txt file, note file suffix named. txt
1 jhchen 11/07/2005 20:04:00 2005-11-7 20:04
2 jhchen 11/07/2005 20:04:00 2005-11-7 20:04
3 Jhchen 11/07/2005 20:04:00 2005-11-7 20:04
2)Sql>
The sample SQL statements for exporting CSV format data in MySQL are as follows:SQL code
SELECT * FROM test_info
into outfile '/tmp/test.csv '
Fields terminated by ', ' optionally enclosed by ' "' escaped by '" '
The LOAD DATA infile statement reads from a text file into a table at a high speed. If you specify a local keyword, read the file from the client host. If local is not specified, the file must be located on the server. (Local is available in MySQL3.2
A sample SQL statement for exporting CSV data in MySQL is as follows:
SQL codeSelect * from test_infoInto outfile '/tmp/test.csv'Fields terminated by ', 'optionally enclosed by' "'escaped '"'Lines terminated by '\ r \ n ';
Select * from
SQL bitsCN.com for exporting CSV data in MySQL
A sample SQL statement for exporting CSV data in MySQL is as follows:
SQL codeSelect * from test_infoInto outfile '/tmp/test.csv'Fields terminated by ', 'optionally enclosed by' "'escaped '"'Lines
Use bitsCN.com for mysqlloaddatainfile
Load data [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name.txt'
[REPLACE | IGNORE]
Into table tbl_name
[FIELDS
[Terminated by 'string']
[[OPTIONALLY] enclosed by 'char ']
[Escaped by 'char
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In order to facilitate the use of the reprinted article: http://www.oracle.com.cn/viewthread.php? Tid = 13979 & extra = & page = 1sql Load
Sqlldr userid = lgone/tiger control = A. CTL
Load data
Infile't. dat // file to be imported
// Infile 'tt.
Here we use excel Data for the simplest test.
1) Save the excel data as a t.txt file. Note that the file suffix is. txt.
1 jhchen 11/07/2005 20:04:00 2005-11-7 20:04
2 jhchen 11/07/2005 20:04:00 2005-11-7 20:04
3 jhchen 11/07/2005 20:04:00 2005-11-
The load data infile statement reads a table from a text file at a high speed. If you specify the local keyword, read the file from the client host. If local is not specified, the file must be on the server. (Local is available in MySQL 3.22.6 or a
Hive is a data Warehouse tool based on Hadoop that maps structured data files to a database table and provides a simple SQL query that translates SQL statements into MapReduce tasks.
Metastore (hive meta data)Hive stores metadata in a database,
Overview
As long as the correct file types and compression types (such as Textfile+gzip, sequencefile+snappy, etc.) are configured, hive can read and parse data as expected and provide SQL functionality.
The structure of the sequencefile itself has
Http://blog.csdn.net/adparking/article/details/7098221
Load data [low_priority] [local] infile 'file_name.txt '[Replace | ignore]
Into Table tbl_name[Fields[Terminated by '\ T'][Optionally] enclosed by ''][Escaped by '\'][Lines terminated by '\
Load data [low_priority] [local] infile 'file_name.txt '[Replace | ignore] into Table tbl_name[Fields[Terminated by '\ T'][Optionally] enclosed by ''][Escaped by '\'][Lines terminated by '\ n'][Ignore number lines][(Col_name,...)]
Load daThe TA
The LOAD DATA infile statement reads from a text file into a table at a high speed. If you specify the local keyword, read the file from the client host. If local is not specified, the file must be located on the server. (Local is available in MySQL3
From old leaves, original http://imysql.com/2012/12/21/tpch-for-mysql-manual.html
Tpch is a toolkit provided by the TPC (transaction processing performance councer) organization. Used for OLAP testing to evaluate the performance of the Decision
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