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OMS Documentation What is OMS? Terms OMS HA Overview Hierarchical functional system Basic components OMS Oracle full data migration design and impact Limitations Data migration process Data synchronization process Deployment types System and network requirements Memory and disk requirements Environment preparations Single-node deployment Deploy OMS on multiple nodes in a single region Deploy OMS on multiple nodes in multiple regions Integrate the OIDC protocol to OMS to implement SSO Scale out OMS Check the deployment Deploy a time-series database (Optional) Log on to the OMS console Overview Configure user information Change your logon password Log off Overview Migrate data from a MySQL database to a MySQL tenant of OceanBase Database Migrate data from a MySQL tenant of OceanBase Database to a MySQL database Migrate data from an Oracle database to a MySQL tenant of OceanBase Database Migrate data from an Oracle tenant of OceanBase Database to an Oracle database Migrate data from an Oracle database to an Oracle tenant of OceanBase Database Migrate data from a DB2 LUW database to an Oracle tenant of OceanBase Database Migrate data from an Oracle tenant of OceanBase Database to a DB2 LUW database Migrate data from a DB2 LUW database to a MySQL tenant of OceanBase Database Migrate data from a MySQL tenant of OceanBase Database to a DB2 LUW database Migrate data within OceanBase Database Active-active disaster recovery between OceanBase databases Migrate data from a TiDB database to a MySQL tenant of OceanBase Database Migrate data from a PostgreSQL database to a MySQL tenant of OceanBase Database Migrate incremental data from an Oracle tenant of OceanBase Database to a MySQL database View details of a data migration project Rename a data migration project View and modify migration objects Use tags to manage data migration projects Perform batch operations on data migration projects Download and import settings of migration objects Start and pause a data migration project Release and delete a data migration project Synchronize DDL operations from a MySQL tenant of OceanBase Database to a MySQL database Synchronize DDL operations from an Oracle tenant of OceanBase Database to an Oracle database Synchronize DDL operations from a DB2 LUW database to an Oracle tenant of OceanBase Database Synchronize DDL operations from an Oracle tenant of OceanBase Database to a DB2 LUW database Synchronize DDL operations from a DB2 LUW database to a MySQL tenant of OceanBase Database Synchronize DDL operations from a MySQL tenant of OceanBase Database to a DB2 LUW database DDL synchronization between MySQL tenants of OceanBase Database DDL synchronization between Oracle tenants of OceanBase Database Overview Synchronize data from OceanBase Database to a Kafka instance Synchronize data from OceanBase Database to a RocketMQ instance Synchronize data from OceanBase Database to a DataHub instance Synchronize data from an ODP logical table to a physical table in a MySQL tenant of OceanBase Database Synchronize data from an ODP logical table to a DataHub instance Synchronize data from an IDB logical table to a physical table in a MySQL tenant of OceanBase Database Synchronize data from an IDB logical table to a DataHub instance Synchronize data from a MySQL database to a DataHub instance Synchronize data from an Oracle database to a DataHub instance View details of a data synchronization project Change the name of a data synchronization project View and modify synchronization objects Use tags to manage data synchronization projects Perform batch operations on data synchronization projects Download and import the settings of synchronization objects Start and pause a data synchronization project Release and delete a data synchronization project Create a MySQL data source Create an Oracle data source Create a TiDB data source Create a Kafka data source Create a RocketMQ data source Create a DataHub data source Create a DB2 LUW data source Create a PostgreSQL data source View data source information Copy a data source Edit a data source Delete a data source Create a database user User privileges Enable binlogs for the MySQL database Minimum privileges required when an Oracle database serves as the source O&M overview Go to the overview page View server information Update the quota View server logs View O&M tasks Skip a task or subtask Retry a task or subtask
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What are the application scope and limits of ETL?

Last Updated:2024-08-16 06:00:53  Updated
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What is on this page
Applicable versions
Implementation principle
Usage notes
Sample code

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This topic describes the application scope and limits of extract, transform, and load (ETL) supported by OceanBase Migration Service (OMS).

Applicable versions

OMS V3.2.2 and later

Implementation principle

OMS uses the MySQL syntax as the input syntax for ETL. You can only filter data. You can simply enter the data filtering conditions to filter the full and incremental data.

The filter conditions entered are parsed into a syntax tree composed of operators. OMS uses the operators in the syntax tree to compute each record and then determines whether to filter the record.

OMS supports the following operators:

expr indicates an operator, and [|] indicates the selection of one in regex matching.
Unary operator:
    For integers
        +expr, -erpr, ~expr, !expr
    For the Boolean type
        expr NOT TRUE, expr IS TRUE
    For comparison against null values
        expr IS NULL, expr IS NOT NULL
Binary operators:
    For the Boolean type
        expr [AND | OR | XOR] expr
    For arithmetic operations of integers
        expr [ & | >> | << | + | - | * | / | % | ^] expr
        expr | expr
    For operations of value comparison
        expr [> | >= | < | <= | = | != | <>] expr
For judgement based on Boolean values:
    BETWEEN expr AND expr
    IN (expr, ...., expr)
For functions (custom functions):
    CONCAT (expr1, expr2)
        IF expr1 == NULL, RETURN expr2
        ELSE IF expr2 == null, RETURN expr1
        ELSE RETURN expr1 + expr2
        If both expr1 and expr2 are NULL, NULL is returned.
        Otherwise, the CONCAT value of one or both non-NULL parties is returned.
    SUBSTR (expr, exprS (,exprC)?)
        SUBSTR (expr, exprS (,exprC)?) is equivalent to the SUBSTRING function of a database.
        The index subscript of the string starts from 1. exprS is the position where the string copying starts, and exprC is the number of copied strings.
        If exprC <= 0 or exprS == 0, an empty string is returned.
        str = '1234567';
        If exprS > 0 and exprS <= str.length, the string returned is as follows:
            SUBSTRING(str, 1, 2) = '12'
            SUBSTRING(str, 1) = '1234567'
            SUBSTRING(str, 6, 3) = '67'
            SUBSTRING(str, 7, 2) = '7'
        If exprS > str.length, an empty string is returned.
            SUBSTRING(str, 8, 2) = ''
        If exprS < 0 and-exprS <= str.length, the start position is str.length + exprS.
            SUBSTRING(str, -1, 2) = '7'
            SUBSTRING(str, -4, 2) = '45'
            SUBSTRING(str, -4) = '4567'
        If exprS < 0 and -exprS > str.length, an empty string is returned.
    REPLACE(exprO, expr1, expr2)
        If exprO is null, null is returned.
        If expr1 is null, exprO is returned.
        If expr2 is null, it is equivalent to REPLACE(exprO, expr1, "") or REMOVE(exprO, expr1).

Usage notes

  • Unsupported types

    Calculation and comparison of DOUBLE/FLOAT numbers are not supported. Otherwise, errors may occur in the results.

  • Comparison of NULL values

    FALSE is returned for any comparison against NULL values, including =, >=, <=, ! =, >, and <, and FALSE is returned for NULL = NULL as well.

    If you want to compare NULL values, use IS NULL or IS NOT NULL.

  • Comparison of CHAR strings

    A trailing space is ignored in comparison, that is, 'abc' = 'abc '.

    A leading space is not ignored, that is, ' abc' != 'abc'.

    Case is not ignored, that is, 'abc' != 'ABC'.

  • Comparison of VARCHAR strings

    A trailing space is ignored for the comparison of MySQL and DB2-related VARCHAR strings, that is, 'abc' = 'abc '.

    A trailing space is ignored for the comparison of ORACLE VARCHAR strings, that is, 'abc' != 'abc '.

  • Precedence of AND and OR

    For AND and OR operators not enclosed in parentheses, AND takes precedence over OR. Use parentheses to specify the precedence.

  • Column name conversion

    ETL does not perform any case conversion on column names that you pass in. Use the escape character \to escape column names.

  • Implicit conversions

    ETL uses CAST(expr AS type) for explicit conversions. The following type conversions are supported:

    type = CHARACTER/CHAR to VARCHAR_STRING

    type = DEC/NUMERIC/DECIMAL to DECIMAL

    type = DOUBLE to DOUBLE

    type = SIGNED/UNSIGNED to INT64

    type = DATE to DATE

    type = TIME to TIME

    type = DATETIME to DATETIME

    The following implicit conversions are supported:

    INT64 and DECIMAL to DECIMAL for comparison

    INT64 and STRING to INT64 for comparison

    DECIMAL and STRING to DECIMAL for comparison

    You can use a Linux timestamp or 'YYYY-MM-DD HH:MM:SS ZoneID' for the TIMSTAMP type of MySQL. If ZoneID is not specified, +08:00 is used to convert the time zone.

    For ORACLE TIMESTAMP WITH LOCAL TIMEZONE, you can use 'YYYY-MM-DD HH:MM:SS ZoneID' for comparison. If ZoneID is not specified, +08:00 will be used to convert the time zone.

Sample code

Filter condition: 'id' > 100 AND 'ts' < '2022-07-11 00:00:00+08:00'.
INSERT/DELETE id = 1000, ts = '2022-07-10 00:00:00 +08:00' passes.
INSERT/DELETE id = 99, ts = '2022-07-10 00:00:00 +08:00' filtered out.

UPDATE Before update, id = 1000, ts = '2022-07-10 00:00:00 +08:00'.
       After update, id = 1000, ts = '2022-07-10 00:00:00 +08:00' passes.

UPDATE Before update, id = 99, ts = '2022-07-10 00:00:00 +08:00'.  
       After update, id = 99, ts = '2022-07-10 00:00:00 +08:00' filtered out.

UPDATE Before update, id = 99, ts = '2022-07-10 00:00:00 +08:00'.
       After update, id = 1000, ts = '2022-07-10 00:00:00 +08:00'.
       Split into INSERT  id = 1000, ts = '2022-07-10 00:00:00 +08:00'.


UPDATE Before update, id = 1000, ts = '2022-07-10 00:00:00 +08:00'.
       After update, id = 99, ts = '2022-07-10 00:00:00 +08:00'.
       Split into DELETE id = 1000, ts = '2022-07-10 00:00:00 +08:00'.

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