|Limits on the source database
- Bandwidth requirements: The server to which the source database belongs must have
sufficient egress bandwidth. Otherwise, the data migration speed is affected.
- The source database must have PRIMARY KEY or UNIQUE constraints and all fields must
be unique. Otherwise, the destination database may contain duplicate data records.
- If you want to migrate incremental data, you must make sure that the following requirements
- The write-ahead logging (WAL) feature must be enabled.
WAL logs are retained for at least 7 days during full data migration. You can wait
until full data migration is complete, and then clear the WAL logs generated in the
source database after the DTS task is run.
Note To ensure data security, DTS stores only 50 GB of WAL logs or the WAL logs for the
last 24 hours. If the limit is exceeded, DTS automatically clears the cached logs.
Warning If you clear the WAL logs of the source database during full data migration, the data
migration task may fail. For example, full data migration takes more than 24 hours
due to the large data volume in the source database and abnormal writing in the destination
database. In this case, if the WAL logs of the source database are cleared during
full data migration, DTS cannot obtain the WAL logs generated 24 hours ago. Therefore,
the data migration task may fail.
- Limits on operations:
- During schema migration and full data migration, do not perform data definition language
(DDL) operations to change the schemas of databases or tables. Otherwise, the data
migration task fails.
- If you perform only full data migration, do not write data to the source database
during data migration. Otherwise, data will be inconsistent between the source and
destination databases. To ensure data consistency, we recommend that you select Schema
Migration, Full Data Migration, and Incremental Data Migration as the migration types.
- A single data migration task can migrate data from only one database. To migrate data
from multiple databases, you must create a data migration task for each database.
- During incremental data migration, if you select a schema as the object to be migrated,
take note of the following limits: If you create a table in the schema or run the
RENAME command to rename the table, you must run the
ALTER TABLE schema.table REPLICA IDENTITY FULL; command before you write data to the table.
Note Replace the
table in the preceding sample command with the actual schema name and table name.
- To ensure that the delay time of incremental data migration is accurate, DTS adds
a heartbeat table named
dts_postgres_heartbeat to the source database. The following figure shows the schema of the heartbeat table.
- Before you migrate data, evaluate the impact of data migration on the performance
of the source and destination databases. We recommend that you migrate data during
off-peak hours. During full data migration, DTS uses read and write resources of the
source and destination databases. This may increase the loads of the database servers.
- During full data migration, concurrent INSERT operations cause fragmentation in the
tables of the destination database. After full data migration is complete, the tablespace
of the destination database is larger than that of the source database.
- You must make sure that the precision settings for columns of the FLOAT or DOUBLE
data type meets your business requirements. DTS uses the
ROUND(COLUMN,PRECISION) function to retrieve values from columns of the FLOAT or DOUBLE data type. If you
do not specify a precision, DTS sets the precision for the FLOAT data type to 38 digits
and the precision for the DOUBLE data type to 308 digits.
- DTS attempts to resume data migration tasks that failed within the last seven days.
Before you switch workloads to the destination instance, stop or release the data
migration task. You can also run the
revoke command to revoke the write permissions from the accounts that are used by DTS to
access the destination instance. Otherwise, the data in the source database will overwrite
the data in the destination instance after the task is resumed.