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Run and manage OceanBase on your infra

TRY OPEN SOURCE

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The free, open-source distributed database

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Open source AI native search database

Customer Stories

Real-world success stories from enterprises across diverse industries.

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Mission-Critical Transactions

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Active Geo-redundancy

Database Consolidation

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Document overview Overview System architecture Compatibility with MySQL Limits Quick experience Before you start Basic SQL operations Connect to OceanBase Database by using a Python driver Connect to OceanBase Database by using Go MySQL Driver Connect a Java application to OceanBase Database Connect a C application to OceanBase Database Experience operational OLAP Experience parallel import and data compression Experience the multitenancy feature Overview Connect to OceanBase Database by using a MySQL client Connect to OceanBase Database by using OBClient Connect to OceanBase Database by using ODC Connect Java applications to OceanBase Database Connect to OceanBase Database by using Go MySQL Driver Connect to OceanBase Database by using Unix ODBC Connect Python applications to OceanBase Database SpringBoot connection example SpringBatch connection example SpringJDBC connection example SpringJPA connection example Hibernate connection example MyBatis connection example About DDL statements View the currently connected database Change the password of a user About queries Single-table queries Conditional queries ORDER BY queries GROUP BY queries Use the LIMIT clause in queries Use SQL hints in queries Variables of query timeout About error codes Database connection error Overview Software and hardware requirements Configuration before deployment Deploy OceanBase Database online Deploy OceanBase Database offline Deploy OceanBase Database in a Kubernetes cluster Use Alibaba Otter to implement remote active-active disaster recovery Data Migration Overview Use Canal to synchronize MySQL data to OceanBase Database in real time Use DataX to migrate MySQL data to OceanBase Database Use DBCAT to migrate MySQL table schemas to OceanBase Database Migrate MySQL table schemas to OceanBase Database by using mysqldump Migrate MySQL table data to OceanBase Database by using mysqldump Use OBDUMPER to export data from or OBLOADER to import data to OceanBase Database Use DataX to load CSV data files to OceanBase Database Use the LOAD DATA statement to load CSV data files to OceanBase Database Migrate data from SQL files to OceanBase Database Migrate data and resource units between tables Use Canal to synchronize OceanBase Database data to MySQL in real time
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Use DBCAT to migrate MySQL table schemas to OceanBase Database

Last Updated:2023-07-21 09:11:01  Updated
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DBCAT is a lightweight command-line tool that provides features including DDL conversion and schema comparison between a source database and an OceanBase database. The file name of the tool package is dbcat-[version number]-SNAPSHOT.tar.gz. You can use the tool after you download and decompress the package. The name of the executable file is dbcat. OceanBase Community Edition is compatible only with MySQL. Therefore, this topic describes schema conversion only for MySQL tables.

Note DBCAT is a component of OMS. OceanBase Community Edition does not provide a separate package for DBCAT.

Prepare the environment

DBCAT can run in CentOS, Mac OS X, and Windows. Java Development Kit (JDK) 1.8 or a later version is required. You can install OpenJDK and configure the environment variable JAVA_HOME after installation.

The following example takes the installation of OpenJDK in CentOS as an example.

$sudo yum -y install java-1.8.0-openjdk.x86_64

$which java
/usr/local/java/jdk1.8.0_261/bin/java

echo 'export JAVA_HOME=/usr/local/java/jdk1.8.0_261/' >> ~/.bash_profile
. ~/.bash_profile

Decompress the installation package:

tar zxvf dbcat-1.3.0-SNAPSHOT.tar.gz
cd dbcat-1.3.0-SNAPSHOT/
chmod +x bin/dbcat

$tree -L 3 --filelimit 30
.
├── bin
│   ├── dbcat
│   ├── dbcat.bat
│   └── dbcat-debug
├── conf
│   ├── dbcat.properties
│   └── logback.xml
├── docs
│   ├── README.docx
│   ├── README.md
│   └── README.txt
├── LEGAL.md
├── lib [45 entries exceeds filelimit, not opening dir]
├── LICENSE
├── meta
│   └── README
└── NOTICE

5 directories, 12 files

Pay attention to the following folders in the installation file:

Folder Description
bin The folder containing executable files.
conf The folder containing configuration files and log files.
lib The runtime dependent package.
meta Dictionary table data exported in offline conversion scenarios.
~/output SQL files and report files generated in runtime.

Online conversion

The online conversion feature allows you to directly connect DBCAT to the source database and export objects from the database. When a lot of objects, for example, more than 10,000 objects, exist, the export process may take a long time.

You can run the bin/dbcat help convert command to view the help information of the conversion command. For more information about the parameters, see the DBCAT documentation.

bin/dbcat convert -H<host> -P<port> -u<user> -p<password>  -D <database> --from <from> --to <to> --all

bin/dbcat convert -H 127.1 -P 3306 -uroot -p****** -D tpccdb --from mysql56 --to obmysql2230 --all

Note:

  • Currently, DBCAT supports only MySQL 5.5, 5.6 and 5.7 as the source database. Therefore, the --from parameter supports only mysql56 and mysql57.

  • The --to parameter, which specifies the version of the destination OceanBase database, supports only obmysql2230 and obmysql2250. For OceanBase Database V2.2.7 and OceanBase Database V3.1, you can use obmysql2250. These versions are supported because they support the same syntax as MySQL Database.

The files generated by the command are output to the output folder in the home directory.

$tree ~/output/dbcat-2021-09-19-164533/
/home/qing.meiq/output/dbcat-2021-09-19-164533/
├── tpccdb
│   └── TABLE-schema.sql
└── tpccdb-conversion.html

1 directory, 2 files

Example: View the table schema creation statement in the native MySQL database and that in the OceanBase database.

MariaDB [tpccdb]> show create table bmsql_customer \G
*************************** 1. row ***************************
       Table: bmsql_customer
Create Table: CREATE TABLE `bmsql_customer` (
  `c_w_id` bigint(20) NOT NULL,
  `c_d_id` bigint(20) NOT NULL,
  `c_id` bigint(20) NOT NULL,
  `c_discount` decimal(4,4) DEFAULT NULL,
  `c_credit` char(2) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_last` varchar(16) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_first` varchar(16) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_credit_lim` decimal(12,2) DEFAULT NULL,
  `c_balance` decimal(12,2) DEFAULT NULL,
  `c_ytd_payment` decimal(12,2) DEFAULT NULL,
  `c_payment_cnt` bigint(20) DEFAULT NULL,
  `c_delivery_cnt` bigint(20) DEFAULT NULL,
  `c_street_1` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_street_2` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_city` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_state` char(2) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_zip` char(9) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_phone` char(16) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_since` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  `c_middle` char(2) COLLATE utf8_unicode_ci DEFAULT NULL,
  `c_data` varchar(500) COLLATE utf8_unicode_ci DEFAULT NULL,
  PRIMARY KEY (`c_w_id`,`c_d_id`,`c_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
1 row in set (0.01 sec)

vim ~/output/dbcat-2021-09-19-164533/tpccdb/TABLE-schema.sql

create table if not exists tpccdb.bmsql_customer (
        c_w_id bigint(20) not null,
        c_d_id bigint(20) not null,
        c_id bigint(20) not null,
        c_discount decimal(4,4),
        c_credit char(2),
        c_last varchar(16),
        c_first varchar(16),
        c_credit_lim decimal(12,2),
        c_balance decimal(12,2),
        c_ytd_payment decimal(12,2),
        c_payment_cnt bigint(20),
        c_delivery_cnt bigint(20),
        c_street_1 varchar(20),
        c_street_2 varchar(20),
        c_city varchar(20),
        c_state char(2),
        c_zip char(9),
        c_phone char(16),
        c_since timestamp not null default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
        c_middle char(2),
        c_data varchar(500),
        primary key (c_w_id, c_d_id, c_id)
)
default charset=utf8mb4
default collate=utf8mb4_unicode_ci;

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