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TiDB Data Migration FAQs |
Learn about frequently asked questions (FAQs) about TiDB Data Migration (DM). |
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This document collects the frequently asked questions (FAQs) about TiDB Data Migration (DM).
Currently, DM only supports decoding the standard version of MySQL or MariaDB binlog. It has not been tested for Alibaba Cloud RDS or other cloud databases. If you are confirmed that its binlog is in standard format, then it is supported.
It is a known issue that for an upstream table with no primary key in Alibaba Cloud RDS, its binlog still contains a hidden primary key column, which is inconsistent with the original table structure.
Here are some known incompatible issues:
- In Alibaba Cloud RDS, for an upstream table with no primary key, its binlog still contains a hidden primary key column, which is inconsistent with the original table structure.
- In HUAWEI Cloud RDS, directly reading binlog files is not supported. For more details, see Can HUAWEI Cloud RDS Directly Read Binlog Backup Files?
Does the regular expression of the block and allow list in the task configuration support non-capturing (?!)
?
Currently, DM does not support it and only supports the regular expressions of the Golang standard library. See regular expressions supported by Golang via re2-syntax.
DM will attempt to split a single statement containing multiple DDL change operations into multiple statements containing only one DDL operation, but might not cover all cases. It is recommended to include only one DDL operation in a statement executed upstream, or verify it in the test environment. If it is not supported, you can file an issue to the pingcap/tiflow
repository.
When you encounter a DDL statement unsupported by TiDB, you need to manually handle it using dmctl (skipping the DDL statement or replacing the DDL statement with a specified DDL statement). For details, see Handle failed DDL statements.
Note:
Currently, TiDB is not compatible with all the DDL statements that MySQL supports. See MySQL Compatibility.
Currently, DM does not replicate view-related DDL statements to the downstream TiDB cluster, nor does it replicate view-related DML statements to the downstream TiDB cluster.
When an exception occurs during data migration and the data migration task cannot be resumed, you need to reset the task and re-migrate the data:
-
Execute the
stop-task
command to stop the abnormal data migration task. -
Purge the data migrated to the downstream.
-
Use one of the following ways to restart the data migration task.
- Specify a new task name in the task configuration file. Then execute
start-task {task-config-file}
. - Execute
start-task --remove-meta {task-config-file}
.
- Specify a new task name in the task configuration file. Then execute
How to handle the error returned by the DDL operation related to the gh-ost table, after online-ddl: true
is set?
[unit=Sync] ["error information"="{\"msg\":\"[code=36046:class=sync-unit:scope=internal:level=high] online ddls on ghost table `xxx`.`_xxxx_gho`\\ngithub.com/pingcap/tiflow/pkg/terror.(*Error).Generate ......
The above error can be caused by the following reason:
In the last rename ghost_table to origin table
step, DM reads the DDL information in memory, and restores it to the DDL of the origin table.
However, the DDL information in memory is obtained in either of the two ways:
- DM processes the gh-ost table during the
alter ghost_table
operation and records the DDL information ofghost_table
; - When DM-worker is restarted to start the task, DM reads the DDL from
dm_meta.{task_name}_onlineddl
.
Therefore, in the process of incremental replication, if the specified Pos has skipped the alter ghost_table
DDL but the Pos is still in the online-ddl process of gh-ost, the ghost_table is not written into memory or dm_meta.{task_name}_onlineddl
correctly. In such cases, the above error is returned.
You can avoid this error by the following steps:
-
Remove the
online-ddl-scheme
oronline-ddl
configuration of the task. -
Configure
_{table_name}_gho
,_{table_name}_ghc
, and_{table_name}_del
inblock-allow-list.ignore-tables
. -
Execute the upstream DDL in the downstream TiDB manually.
-
After the Pos is replicated to the position after the gh-ost process, re-enable the
online-ddl-scheme
oronline-ddl
configuration and comment outblock-allow-list.ignore-tables
.
If you need to add tables to a data migration task that is running, you can address it in the following ways according to the stage of the task.
Note:
Because adding tables to an existing data migration task is complex, it is recommended that you perform this operation only when necessary.
Since MySQL cannot specify a snapshot for export, it does not support updating data migration tasks during the export and then restarting to resume the export through the checkpoint. Therefore, you cannot dynamically add tables that need to be migrated at the Dump
stage.
If you really need to add tables for migration, it is recommended to restart the task directly using the new configuration file.
During the export, multiple data migration tasks usually have different binlog positions. If you merge the tasks in the Load
stage, they might not be able to reach consensus on binlog positions. Therefore, it is not recommended to add tables to a data migration task in the Load
stage.
When the data migration task is in the Sync
stage, if you add additional tables to the configuration file and restart the task, DM does not re-execute full export and import for the newly added tables. Instead, DM continues incremental replication from the previous checkpoint.
Therefore, if the full data of the newly added table has not been imported to the downstream, you need to use a separate data migration task to export and import the full data to the downstream.
Record the position information in the global checkpoint (is_global=1
) corresponding to the existing migration task as checkpoint-T
, such as (mysql-bin.000100, 1234)
. Record the position information of the full export metedata
(or the checkpoint of another data migration task in the Sync
stage) of the table to be added to the migration task as checkpoint-S
, such as (mysql-bin.000099, 5678)
. You can add the table to the migration task by the following steps:
-
Use
stop-task
to stop an existing migration task. If the table to be added belongs to another running migration task, stop that task as well. -
Use a MySQL client to connect the downstream TiDB database and manually update the information in the checkpoint table corresponding to the existing migration task to the smaller value between
checkpoint-T
andcheckpoint-S
. In this example, it is(mysql- bin.000099, 5678)
.-
The checkpoint table to be updated is
{task-name}_syncer_checkpoint
in the{dm_meta}
schema. -
The checkpoint rows to be updated match
id=(source-id)
andis_global=1
. -
The checkpoint columns to be updated are
binlog_name
andbinlog_pos
.
-
-
Set
safe-mode: true
for thesyncers
in the task to ensure reentrant execution. -
Start the task using
start-task
. -
Observe the task status through
query-status
. WhensyncerBinlog
exceeds the larger value ofcheckpoint-T
andcheckpoint-S
, restoresafe-mode
to the original value and restart the task. In this example, it is(mysql-bin.000100, 1234)
.
How to handle the error packet for query is too large. Try adjusting the 'max_allowed_packet' variable
that occurs during the full import?
Set the parameters below to a value larger than the default 67108864 (64M).
- The global variable of the TiDB server:
max_allowed_packet
. - The configuration item in the task configuration file:
target-database.max-allowed-packet
. For details, refer to DM Advanced Task Configuration File.
How to handle the error Error 1054: Unknown column 'binlog_gtid' in 'field list'
that occurs when existing DM migration tasks of an DM 1.0 cluster are running on a DM 2.0 or newer cluster?
Since DM v2.0, if you directly run the start-task
command with the task configuration file of the DM 1.0 cluster to continue the incremental data replication, the error Error 1054: Unknown column 'binlog_gtid' in 'field list'
occurs.
This error can be handled by manually importing DM migration tasks of a DM 1.0 cluster to a DM 2.0 cluster.
You can use the tiup list dm-master
command to view the DM versions that TiUP supports to deploy. TiUP does not manage DM versions which are not shown by this command.
You need to check the error message and log files to further analyze this error. The cause might be that the dump unit does not produce the correct metadata file due to a lack of permissions.
Why does DM report no fatal error when replicating sharded schemas and tables, but downstream data is lost?
Check the configuration items block-allow-list
and table-route
:
- You need to configure the names of upstream databases and tables under
block-allow-list
. You can add "~" beforedo-tables
to use regular expressions to match names. table-route
uses wildcard characters instead of regular expressions to match table names. For example,table_parttern_[0-63]
only matches 7 tables, fromtable_parttern_0
totable_pattern_6
.
In DM 1.0, you need to enable enable-heartbeat
to generate the monitor data. In DM 2.0 and later versions, it is expected to have no data in the monitor metric replicate lag
because this feature is not supported.
How to handle the error fail to initial unit Sync of subtask
when DM is starting a task, with the RawCause
in the error message showing context deadline exceeded
?
This is a known issue in DM 2.0.0 version and will be fixed in DM 2.0.1 version. It is likely to be triggered when a replication task has a lot of tables to process. If you use TiUP to deploy DM, you can upgrade DM to the nightly version to fix this issue. Or you can download the 2.0.0-hotfix version from the release page of DM on GitHub and manually replace the executable files.
You need to first check and confirm the following things:
disable-detect
is not configured in the replication task ( in v2.0.7 and earlier versions).- The data is not inserted manually or by other replication programs.
- No DML filter associated with this table is configured.
To facilitate troubleshooting, you can first collect general log files of the downstream TiDB instance and then ask for technical support at TiDB Community slack channel. The following example shows how to collect general log files:
# Enable general log collection
curl -X POST -d "tidb_general_log=1" http://{TiDBIP}:10080/settings
# Disable general log collection
curl -X POST -d "tidb_general_log=0" http://{TiDBIP}:10080/settings
When the duplicate entry
error occurs, you need to check the log files for the records that contain conflict data.
It is normal for some panels to have no data. For example, when there is no error reported, no DDL lock, or the relay log feature is not enabled, the corresponding panels show No data point
. For detailed description of each panel, see DM Monitoring Metrics.
You need to first check whether the binlog position is still advancing after you execute sql-skip
. If so, it means that sql-skip
has taken effect. The reason why this error keeps occurring is that the upstream sends multiple unsupported DDL statements. You can use sql-skip -s <sql-pattern>
to set a pattern to match these statements.
Sometimes, the error message contains the parse statement
information, for example:
if the DDL is not needed, you can use a filter rule with \"*\" schema-pattern to ignore it.\n\t : parse statement: line 1 column 11 near \"EVENT `event_del_big_table` \r\nDISABLE\" %!!(MISSING)(EXTRA string=ALTER EVENT `event_del_big_table` \r\nDISABLE
The reason for this type of error is that the TiDB parser cannot parse DDL statements sent by the upstream, such as ALTER EVENT
, so sql-skip
does not take effect as expected. You can add binlog event filters in the configuration file to filter those statements and set schema-pattern: "*"
. Starting from DM v2.0.1, DM pre-filters statements related to EVENT
.
Since DM v6.0, binlog
replaces sql-skip
and handle-error
. You can use the binlog
command instead to avoid this issue.
You need to check whether the safe mode is automatically enabled for the task. If the task is automatically resumed after an error, or if there is high availability scheduling, then the safe mode is enabled because it is within 1 minutes after the task is started or resumed.
You can check the DM-worker log file and search for a line containing change count
. If the new count
in the line is not zero, the safe mode is enabled. To find out why it is enabled, check when it happens and if any errors are reported before.
In DM v2.0.1 and earlier versions, if DM restarts before the full import completes, the bindings between upstream data sources and DM-worker nodes might change. For example, it is possible that the intermediate data of the dump unit is on DM-worker node A but the load unit is run by DM-worker node B, thus causing the operation to fail.
The following are two solutions to this issue:
-
If the data volume is small (less than 1 TB) or the task merges sharded tables, take these steps:
- Clean up the imported data in the downstream database.
- Remove all files in the directory of exported data.
- Delete the task using dmctl and run the command
start-task --remove-meta
to create a new task.
After the new task starts, it is recommended to ensure that there is no redundant DM worker node and avoid restarting or upgrading the DM cluster during the full import.
-
If the data volume is large (more than 1 TB), take these steps:
- Clean up the imported data in the downstream database.
- Deploy TiDB-Lightning to the DM worker nodes that process the data.
- Use the Local-backend mode of TiDB-Lightning to import data that DM dump units export.
- After the full import completes, edit the task configuration file in the following ways and restart the task:
- Change
task-mode
toincremental
. - Set the value of
mysql-instance.meta.pos
to the position recorded in the metadata file that the dump unit outputs.
- Change
Why does DM report the error ERROR 1236 (HY000): The slave is connecting using CHANGE MASTER TO MASTER_AUTO_POSITION = 1, but the master has purged binary logs containing GTIDs that the slave requires.
if it restarts during an incremental task?
This error indicates that the upstream binlog position recorded in the metadata file output by the dump unit has been purged during the full migration.
If this issue occurs, you need to pause the task, delete all migrated data in the downstream database, and start a new task with the --remove-meta
option.
You can avoid this issue in advance by configuring in the following ways:
- Increase the value of
expire_logs_days
in the upstream MySQL database to avoid wrongly purging needed binlog files before the full migration task completes. If the data volume is large, it is recommended to use dumpling and TiDB-Lightning at the same time to speed up the task. - Enable the relay log feature for this task so that DM can read data from relay logs even though the binlog position is purged.
Why does the Grafana dashboard of a DM cluster display failed to fetch dashboard
if the cluster is deployed using TiUP v1.3.0 or v1.3.1?
This is a known bug of TiUP, which is fixed in TiUP v1.3.2. The following are two solutions to this issue:
- Solution one:
- Upgrade TiUP to a later version using the command
tiup update --self && tiup update dm
. - Scale in and then scale out Grafana nodes in the cluster to restart the Grafana service.
- Upgrade TiUP to a later version using the command
- Solution two:
- Back up the
deploy/grafana-$port/bin/public
folder. - Download the TiUP DM offline package and unpack it.
- Unpack the
grafana-v4.0.3-**.tar.gz
in the offline package. - Replace the folder
deploy/grafana-$port/bin/public
with thepublic
folder ingrafana-v4.0.3-**.tar.gz
. - Execute
tiup dm restart $cluster_name -R grafana
to restart the Grafana service.
- Back up the
In DM v2.0, why does the query result of the command query-status
show that the Syncer checkpoint GTIDs are inconsecutive if the task has enable-relay
and enable-gtid
enabled at the same time?
This is a known bug in DM, which is fixed in DM v2.0.2. The bug is triggered when the following two conditions are fully met at the same time:
- Parameters
enable-relay
andenable-gtid
are set totrue
in the source configuration file. - The upstream database is a MySQL secondary database. If you execute the command
show binlog events in '<newest-binlog>' limit 2
to query theprevious_gtids
of the database, the result is inconsecutive, such as the following example:
mysql> show binlog events in 'mysql-bin.000005' limit 2;
+------------------+------+----------------+-----------+-------------+--------------------------------------------------------------------+
| Log_name | Pos | Event_type | Server_id | End_log_pos | Info |
+------------------+------+----------------+-----------+-------------+--------------------------------------------------------------------+
| mysql-bin.000005 | 4 | Format_desc | 123452 | 123 | Server ver: 5.7.32-35-log, Binlog ver: 4 |
| mysql-bin.000005 | 123 | Previous_gtids | 123452 | 194 | d3618e68-6052-11eb-a68b-0242ac110002:6-7 |
+------------------+------+----------------+-----------+-------------+--------------------------------------------------------------------+
The bug occurs if you run query-status <task>
in dmctl to query task information and find that subTaskStatus.sync.syncerBinlogGtid
is inconsecutive but subTaskStatus.sync.masterBinlogGtid
is consecutive. See the following example:
query-status test
{
...
"sources": [
{
...
"sourceStatus": {
"source": "mysql1",
...
"relayStatus": {
"masterBinlog": "(mysql-bin.000006, 744)",
"masterBinlogGtid": "f8004e25-6067-11eb-9fa3-0242ac110003:1-50",
...
}
},
"subTaskStatus": [
{
...
"sync": {
...
"masterBinlog": "(mysql-bin.000006, 744)",
"masterBinlogGtid": "f8004e25-6067-11eb-9fa3-0242ac110003:1-50",
"syncerBinlog": "(mysql-bin|000001.000006, 738)",
"syncerBinlogGtid": "f8004e25-6067-11eb-9fa3-0242ac110003:1-20:40-49",
...
"synced": false,
"binlogType": "local"
}
}
]
},
{
...
"sourceStatus": {
"source": "mysql2",
...
"relayStatus": {
"masterBinlog": "(mysql-bin.000007, 1979)",
"masterBinlogGtid": "ddb8974e-6064-11eb-8357-0242ac110002:1-25",
...
}
},
"subTaskStatus": [
{
...
"sync": {
"masterBinlog": "(mysql-bin.000007, 1979)",
"masterBinlogGtid": "ddb8974e-6064-11eb-8357-0242ac110002:1-25",
"syncerBinlog": "(mysql-bin|000001.000008, 1979)",
"syncerBinlogGtid": "ddb8974e-6064-11eb-8357-0242ac110002:1-25",
...
"synced": true,
"binlogType": "local"
}
}
]
}
]
}
In the example, the syncerBinlogGtid
of the data source mysql1
is inconsecutive. In this case, you can do one of the following to handle the data loss:
- If upstream binlogs from the current time to the position recorded in the metadata of the full export task have not been purged, you can take these steps:
- Stop the current task and delete all data sources with inconsecutive GTIDs.
- Set
enable-relay
tofalse
in all source configuration files. - For data sources with inconsecutive GTIDs (such as
mysql1
in the above example), change the task to an incremental task and configure relatedmysql-instances.meta
with metadata information of each full export task, including thebinlog-name
,binlog-pos
, andbinlog-gtid
information. - Set
syncers.safe-mode
totrue
intask.yaml
of the incremental task and restart the task. - After the incremental task replicates all missing data to the downstream, stop the task and change
safe-mode
tofalse
in thetask.yaml
. - Restart the task again.
- If upstream binlogs have been purged but local relay logs remain, you can take these steps:
- Stop the current task.
- For data sources with inconsecutive GTIDs (such as
mysql1
in the above example), change the task to an incremental task and configure relatedmysql-instances.meta
with metadata information of each full export task, including thebinlog-name
,binlog-pos
, andbinlog-gtid
information. - In the
task.yaml
of the incremental task, change the previous value ofbinlog-gtid
to the previous value ofprevious_gtids
. For the above example, change1-y
to6-y
. - Set
syncers.safe-mode
totrue
in thetask.yaml
and restart the task. - After the incremental task replicates all missing data to the downstream, stop the task and change
safe-mode
tofalse
in thetask.yaml
. - Restart the task again.
- Restart the data source and set either
enable-relay
orenable-gtid
tofalse
in the source configuration file.
- If none of the above conditions is met or if the data volume of the task is small, you can take these steps:
- Clean up imported data in the downstream database.
- Restart the data source and set either
enable-relay
orenable-gtid
tofalse
in the source configuration file. - Create a new task and run the command
start-task task.yaml --remove-meta
to migrate data from the beginning again.
For data sources that can be replicated normally (such as mysql2
in the above example) in the first and second solutions above, configure related mysql-instances.meta
with syncerBinlog
and syncerBinlogGtid
information from subTaskStatus.sync
when setting the incremental task.
In DM v2.0, how do I handle the error "heartbeat config is different from previous used: serverID not equal" when switching the connection between DM-workers and MySQL instances in a virtual IP environment with the heartbeat
feature enabled?
The heartbeat
feature is disabled by default in DM v2.0 and later versions. If you enable the feature in the task configuration file, it interferes with the high availability feature. To solve this issue, you can disable the heartbeat
feature by setting enable-heartbeat
to false
in the task configuration file, and then reload the task configuration file. DM will forcibly disable the heartbeat
feature in subsequent releases.
Why does a DM-master fail to join the cluster after it restarts and DM reports the error "fail to start embed etcd, RawCause: member xxx has already been bootstrapped"?
When a DM-master starts, DM records the etcd information in the current directory. If the directory changes after the DM-master restarts, DM cannot get access to the etcd information, and thus the restart fails.
To solve this issue, you are recommended to maintain DM clusters using TiUP. In the case that you need to deploy using binary files, you need to configure data-dir
with absolute paths in the configuration file of the DM-master, or pay attention to the current directory where you run the command.
When using dmctl execute commands, you might find the connection to DM master fails (even if you have specified the parameter value of --master-addr
in the command), and the error message is like RawCause: context deadline exceeded, Workaround: please check your network connection.
. But after checking the network connection using commands like telnet <master-addr>
, no exception is found.
In this case, you can check the environment variable https_proxy
(note that it is https). If this variable is configured, dmctl automatically connects the host and port specified by https_proxy
. If the host does not have a corresponding proxy
forwarding service, the connection fails.
To solve this issue, check whether https_proxy
is mandatory. If not, cancel the setting. Otherwise, add the environment variable setting https_proxy="" ./dmctl --master-addr "x.x.x.x:8261"
before the oringial dmctl commands.
Note:
The environment variables related to
proxy
includehttp_proxy
,https_proxy
, andno_proxy
. If the connection error persists after you perform the above steps, check whether the configuration parameters ofhttp_proxy
andno_proxy
are correct.
How to handle the returned error when executing start-relay command for DM versions from 2.0.2 to 2.0.6?
flush local meta, Rawcause: open relay-dir/xxx.000001/relay.metayyyy: no such file or directory
The above error might be made in the following cases:
- DM has been upgraded from v2.0.1 and earlier to v2.0.2 - v2.0.6, and relay log is started before the upgrade and restarted after the upgrade.
- Execute the stop-relay command to pause the relay log and then restart it.
You can avoid this error by the following options:
-
Restart relay log:
» stop-relay -s sourceID workerName » start-relay -s sourceID workerName
-
Upgrade DM to v2.0.7 or later versions.
TiDB does not support all MySQL character sets. Therefore, DM reports this error if an unsupported character set is used when creating the table schema during a full import. To bypass this error, you can create the table schema in the downstream in advance using the character sets supported by TiDB according to the specific data.