When exporting a large number of CSV data, often large size, the use of C # comes with the compression class, you can easily implement this function, and compression ratio is very high, this method in my open Source Tool Datapie has been tested in practice. My previous Blog "full-featured, efficient first-class free open source database import and Export tools (C # Development, support SQL Server, SQLite, access three kinds of database), monthly take
Tags: ODI OracleThis article describes how to convert table data into a CSV file via ODI.First, the source table preparation work 1.1 Define the physical architecture
Define New Data ServerOdi->topology->physical Architecture, right-click Oracle, select New Data Server, define a name in the Definition dialog box, enter the Oracle instance name, and the user information, Save.Then in the JDBC dialog box,
1. Spark reads the CSV file;
You can use Databricks's third-party package to read a CSV file, download a third-party package, and put it in the specified path
1.1 Defining data formatsWe need to define the data format according to the specific data format before importing the data.Use Structtype to define the field f
1. Start the H2 database does not open the browser window (default is open)
2. Database creation SQL adds support for bigdecimal types, H2 databases do not support BigDecimal types by default:
SQL code
Copy Code code as follows:
CREATE TABLE test (ID int (one), Charge BigDecimal (12))
SQL code
Copy Code code as follows:
CREATE TABLE test (ID int (one), Charge BigDecimal (12))
Command: Fputcsv ()
Command format: int fputcsv (resource handle [, array fields [, String delimiter [, String enclosure]]]
Command resolution: Fputcsv () formats a row (passed in fields array) in CSV format and writes to the file specified by handle. Returns the length of the write string, or FALSE if an error occurs. Optional delimiter parameter set field delimiter (only one character is allowed). The def
Label:1. Export local database data to a local fileMysql-a service_db-h Your_host-utest-ptestMysql> SELECT * from T_apps where created> ' 2012-07-02 00:00:00 ' into outfile/tmp/apps.csv2. Export remote database data to a local fileMysql-a service_db-h your_host-utest-ptest-ss-e "select * from T_apps limit 300;" | Sed ' s/\t/', '/g;s/^/'/;s/$/'/;s/\n//g ' > Apps.csv(The SED section may be slightly, especially when dealing with data containing Chinese characters.) If the content contains Chinese,
08: 57arcgis (. SHP file extension)
The format Suffix of the file to be calculated by arcamp must be. SHP. The method described on the internet is complicated and difficult. How can I create a. SHP file?
1. Open the ArcMap software and click "add XY data" in the "Tools" drop-down menu on the menu bar. In the "add XY da
| Archive Storage Engine | NO | NO |
NO | +------------+---------+----------------------------------------------------------------+--------------+------+ ------------+ 7 rows in Set (0.00 sec)# #我们看到此时数据库支持的存储引擎中已经没有了innodb (But the friend confirmed that the library was really supporting the InnoDB storage engine, and most of the libraries were InnoDB tables)
3.2 View Database Errorlog
Since the database is the InnoDB storage engine is normal, after the modification of the Tmpdir parameter rest
Create an Excel file and insert a value in javaPublic class test {/*** Exported CVS file* @ Param exportData the data set to be imported into Excel* @ Param rowMapper Excel Header* @ Param outputPath: location where the Excel file is saved* @ Return Excel File*/@ SuppressWar
When developing Web applications, it is very likely that you will encounter file--csv data in different formats, password files, XML-encoded content, and different forms of binary data. Your PHP scripts will need to interact with these files frequently, reading data from them and writing data to them. Because there are so many formats of files to process, so you do not accidentally PHP has a number of types
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