Official MyDumper Project
MyDumper is a MySQL Logical Backup Tool. It has 2 tools:
mydumper which is responsible to export a consistent backup of MySQL databasesmyloader reads the backup from mydumper, connects to the destination database and imports the backup.Both tools use multithreading capabilities.
MyDumper is Open Source and maintained by the community, it is not a Percona, MariaDB or MySQL product.
Official Documentation (work in progress) Machine JSON Logging
This sections has been migrated
This sections has been migrated
You can download the official docker image or you can build the Docker image either from local sources or directly from Github sources with the provided Dockerfile.
docker build --build-arg CMAKE_ARGS='-DWITH_ZSTD=ON' -t mydumper \
https://github.com/mydumper/mydumper.git#master:docker
Keep in mind that the main purpose the Dockerfile addresses is development and build from source locally. It might not be optimal for distribution purposes, but can also work as a quick build and run solution with the above one-liner, though.
See Usage
This is all done following best MySQL practices and traditions:
This for now does not provide consistent snapshots for non-transactional engines - support for that is expected in 0.2 :)
This sections has been migrated
You can execute external commands with --exec like this:
mydumper --exec "/usr/bin/gzip FILENAME"
--exec is single threaded, similar implementation than Stream. The exec program must be an absolute path. FILENAME will be replaced by the filename that you want to be processed. You can set FILENAME in any place as an argument.
The default file (aka: --defaults-file parameter) is starting to be more important in MyDumper
[mydumper]
host = 127.0.0.1
user = root
password = p455w0rd
database = db
rows = 10000
string-pk-planner = auto
string-pk-planner-timeout = 30
string-pk-planner-max-probes = 64
string-pk-planner-max-prefixes = 256
string-pk-planner-min-rows = 1000000
string-pk-planner-target-rows-per-prefix = 0
[myloader]
host = 127.0.0.1
user = root
password = p455w0rd
database = new_db
optimize-keys = AFTER_IMPORT_PER_TABLE
Prior to v0.14.0-1:
[mydumper_variables]
wait_timeout = 300
sql_mode = ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION
[myloader_variables]
long_query_time = 300
innodb_flush_log_at_trx_commit = 0
From to v0.14.0-1:
[mydumper_session_variables]
wait_timeout = 300
sql_mode = ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION
[mydumper_global_variables]
sync_binlog = 0
slow_query_log = OFF
[myloader_session_variables]
long_query_time = 300
[myloader_global_variables]
sync_binlog = 0
innodb_flush_log_at_trx_commit = 0
For Aurora/MySQL 5.7 restores where SET SESSION SQL_LOG_BIN = 0 is rejected, use:
[myloader]
source-control-command = AWS
aws-session-command = CALL mysql.rds_disable_session_binlog()
aws-session-command is executed on every myloader connection after the normal session setup. You can repeat the option on multiple lines in the config file, or pass multiple statements separated by ;\n.
When --source-control-command=AWS is set, --enable-binlog is ignored and myloader uses the AWS session binlog call instead.
See myloader.cnf for a complete sample.
Examples:
[myloader]
source-control-command = AWS
aws-session-command = CALL mysql.rds_disable_session_binlog()
aws-session-command = SET SESSION some_aws_setting = 1
aws-session-command = CALL mysql.some_other_aws_proc()
myloader \
--source-control-command=AWS \
--aws-session-command='CALL mysql.rds_disable_session_binlog()' \
--aws-session-command='SET SESSION some_aws_setting = 1' \
--aws-session-command='CALL mysql.some_other_aws_proc()'
For very large tables with string primary keys, mydumper has a bounded
metadata-assisted planner that seeds prefix-based root chunks before falling
back to the existing recursive splitter. The defaults keep the current
behavior as a safe fallback, but you can tune the planner with:
--string-pk-planner=auto|metadata|recursive--string-pk-planner-timeout=<seconds>--string-pk-planner-max-probes=<n>--string-pk-planner-max-prefixes=<n>--string-pk-planner-min-rows=<n>--string-pk-planner-target-rows-per-prefix=<n>The planner works with three orthogonal bounds:
--string-pk-planner-target-rows-per-prefix sets the desired chunk size, in
rows. When 0 (the default) the target is derived as
table_rows / --string-pk-planner-max-prefixes; a positive value is used
directly. The planner deepens prefixes (uses more leading characters) until
each prefix's estimated row count is at or under this target.--max-char-size (default 2) caps how many leading characters a prefix may
use, i.e. the maximum planning depth. A larger value allows finer chunks on
skewed key distributions at the cost of more EXPLAIN probes before export.--string-pk-planner-max-prefixes caps the total number of prefix chunks.The planner starts from the single-character cover and then deepens greedily:
it repeatedly takes the single hottest prefix that is still over target and
lengthens it by one character (replacing it with its non-empty children),
leaving prefixes that are already at or under target untouched. Because it
drills only into hot regions instead of expanding every prefix uniformly, the
number of EXPLAIN probes scales with the number of chunks produced rather
than with alphabet_size ^ depth — deep chunking on a skewed key stays cheap.
A prefix stops growing when it reaches the target, hits the --max-char-size
length ceiling, or can no longer be split without exceeding
--string-pk-planner-max-prefixes; in the last two cases it remains a root as
is. The single-character seed is always retained, so coverage stays complete
and the table is never collapsed to a single chunk. The row targeting is
best-effort because depth is chosen from EXPLAIN estimates; skewed data or a
single dominant primary-key value may leave some chunks above the target.
The effective target is also used as the per-chunk row target at dump time: any root the planner had to leave over target (because of the length ceiling or the prefix budget) is subdivided further by the runtime string splitter while dumping, so chunks approach the target even when the planner alone could not reach it.
The String PK planner selected metadata-assisted prefix chunks ... log line
reports the achieved root count, deepest prefix length, and effective target so
you can confirm the planner produced the parallelism you expect.
Tuning for a very large (e.g. 30TB) table: set
--string-pk-planner=metadata, pick a --string-pk-planner-target-rows-per-prefix
that matches your desired per-chunk size (or leave it 0 and size via
--string-pk-planner-max-prefixes), and set --string-pk-planner-max-prefixes
high enough to hold the number of chunks that target implies (roughly
table_rows / target). With greedy deepening, --max-char-size can be raised
comfortably (e.g. 4–8) to give hot prefixes room to reach the target; the
probe cost is governed by the number of chunks, not the depth ceiling, so a
larger ceiling is cheap as long as --string-pk-planner-max-prefixes is the
real bound. If you leave --string-pk-planner-timeout and
--string-pk-planner-max-probes at 0 (no planning-cost bounds), the planner
runs to completion using EXPLAIN-only probes and never falls back to the
SELECT-based recursive splitter.
[`db`.`table`]
where = column > 20
limit = 10000
[`myd_test`.`t`]
columns_on_select=qty,price+20
columns_on_insert=qty,price
IMPORTANT: when using options that don't require an argument like: --no-data or --events, you need to set any value to those variables which will always indicate: TRUE/ON/ENABLE. It is a MISCONCEPTION if you think that adding --no-data=0 will export data:
[mydumper]
no-data=0
Will NOT export the data as no-data is being specified.
mydumper is versioned MAJOR.MINOR.PATCH-revision.
Even patch versions indicate a pre-release. More info.
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