“This is the 10th day of my participation in the First Challenge 2022. For details: First Challenge 2022
Abstract:
This paragraph of time is responsible for the database management of an old project, the project development in the library from the test database, some system table data often need to synchronize with the base data, I believe many of the DBA students often want to real-time synchronization from one database to another database, homogeneous data is relatively easy, It is difficult to synchronize heterogeneous data, multiple tables, and large amount of data. I tested a way to easily complete the real-time synchronization of Oracle data to PostgreSQL. I hope it will help you.
Oracle data is synchronized to PostgreSQL in real time. The data synchronization tool I tested is Tapdata Cloud, which is free to registered users forever. The synchronization efficiency is very high and good.
Step 1: Configure the Oracle connection
- Click [Connection Management] in the left menu bar of Tapdata Cloud operation background, and then click [Create Connection] in the upper right corner of [Connection List] in the right area to open the connection type selection page, and then select Oracle
2. On the connection information configuration page that is displayed, enter the required configuration information
[Connection name] : Indicates the name of the connection. The name of multiple connections must be unique
Database address: indicates the DATABASE IP address/Host
[Port] : database port
[Database name] : TapData Database connection takes a DB as a data source. Db here refers to the database in a database instance, not a schema.
[Account Number] : account that can access the database
Key code: password of the database account
[Time zone] : Time zone of the database is used by default. If the time zone is specified, the specified time zone is used
Step 2: Configure a PostgreSQL connection
- As in step 1, click The Connection Management button on the left menu bar, and then click the Create Connection button in the upper right corner of the Connection List area to open the connection type selection page, and then select PostgreSQL
4. On the connection information configuration page that is displayed, enter the required configuration information. After the configuration is complete, save the test connection.
Step 3: Select the synchronization mode – full/Incremental/Full + Increment
Enter the Tapdata Cloud operation background task management page and click the Add Task button to enter the task setting process
According to the connection just established, select the source and destination.
Select the libraries and tables to be synchronized based on data requirements. If you need to modify table names, you can set the table names of the target end in batches by using the table name batch modification function on the page.
After setting the above options, select the synchronization type. The platform provides full synchronization, incremental synchronization, and full + incremental synchronization, and set the write mode and read quantity.
If **** full and incremental synchronization is selected, **** automatically enters the incremental synchronization state after the full task is completed. In this state, Tapdata Agent will continuously monitor data changes (including write, update and delete) at the source end and write these data changes to the target end in real time.
Click Task Monitoring to view the task execution details page.
Part four: data verification
After the completion of the general synchronization, I am used to the data check, to prevent stepping pits.
There are three verification modes in Tapdata Cloud. I often use the fastest fast count verification, which is simple and convenient. I only need to select the table to be verified without setting other complicated parameters and conditions.
If it is not enough, you can select full-field verification of the table. In addition to selecting the table to be verified, you also need to set index fields for each table.
Advanced verification is also supported for full-field verification of the table. Advanced check allows you to add JS check logic to check source and target data.
Another verification method is associated field value verification. When creating the associated field value verification, you need to select the table to be verified and set the index field for each table.
Above is my pro test Oracle data real-time synchronization to PgSQL operation share, I hope to help you! Code word is not easy, reproduced please indicate the source ~
Synchronization operations for other databases **
# how Oracle data real-time synchronization to Kafka | close to measure dry share suggestion collection
# how Oracle data real-time synchronization to MySQL | close to measure dry share suggestion collection
SQL Server, Elasticsearch, MySQL, Kafka, and PostgreSQL data are synchronized to MongoDB, DM DB, SQL Server, Elasticsearch, MySQL, and Kafka. Full/incremental/full + increment, because the steps are the same, the other maps are not explained. DB2, Sybase, and Gbase databases are locked in grey state. They are under development. Synchronization of these databases will be supported in the future.
Clocked articles updated 33/100 days
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