github.com/pingcap/br@v5.3.0-alpha.0.20220125034240-ec59c7b6ce30+incompatible/tidb-lightning.toml

### tidb-lightning configuartion
[lightning]

# Listening address for the HTTP server (set to empty string to disable).
# The server is responsible for the web interface, submitting import tasks,
# serving Prometheus metrics and exposing debug profiling data.
status-addr = ":8289"

# Toggle server mode.
# If "false", running Lightning will immediately start the import job, and exits
# after the job is finished.
# If "true", running Lightning will wait for user to submit tasks, via the HTTP API
# (`curl http://lightning-ip:8289/tasks --data-binary @tidb-lightning.toml`).
# The program will keep running and waiting for more tasks, until receiving the SIGINT signal.
server-mode = false

# check if the cluster satisfies the minimum requirement before starting
# check-requirements = true

# index-concurrency controls the maximum handled index concurrently while reading Mydumper SQL files. It can affect the tikv-importer disk usage.
index-concurrency = 2
# table-concurrency controls the maximum handled tables concurrently while reading Mydumper SQL files. It can affect the tikv-importer memory usage.
table-concurrency = 6
# region-concurrency changes the concurrency number of data. It is set to the number of logical CPU cores by default and needs no configuration.
# In mixed configuration, you can set it to 75% of the size of logical CPU cores.
# region-concurrency default to runtime.NumCPU()
# region-concurrency =
# io-concurrency controls the maximum IO concurrency
# Excessive IO concurrency causes an increase in IO latency because the disk
# internal buffer is frequently refreshed causing a cache miss. For different
# disk media, concurrency has different effects on IO latency, which can be
# adjusted according to monitoring.
# Ref: https://en.wikipedia.org/wiki/Disk_buffer#Read-ahead/read-behind
# io-concurrency = 5
# meta-schema-name is (database name) to store lightning task and table metadata.
# the meta schema and tables is store in target tidb cluster.
# this config is only used in "local" and "importer" backend.
# meta-schema-name = "lightning_metadata"

# logging
level = "info"
# file path for log. If set to empty, log will be written to /tmp/lightning.log.{timestamp}
# Set to "-" to write logs to stdout.
file = "tidb-lightning.log"
max-size = 128 # MB
max-days = 28
max-backups = 14

[security]
# specifies certificates and keys for TLS connections within the cluster.
# public certificate of the CA. Leave empty to disable TLS.
# ca-path = "/path/to/ca.pem"
# public certificate of this service.
# cert-path = "/path/to/lightning.pem"
# private key of this service.
# key-path = "/path/to/lightning.key"
# If set to true, lightning will redact sensitive infomation in log.
# redact-info-log = false

[checkpoint]
# Whether to enable checkpoints.
# While importing, Lightning will record which tables have been imported, so even if Lightning or other component
# crashed, we could start from a known good state instead of redoing everything.
enable = true
# The schema name (database name) to store the checkpoints
schema = "tidb_lightning_checkpoint"
# Where to store the checkpoints.
# Set to "file" to store as a local file.
# Set to "mysql" to store into a remote MySQL-compatible database
driver = "file"
# The data source name (DSN) indicating the location of the checkpoint storage.
# For "file" driver, the DSN is a path. If not specified, Lightning would default to "/tmp/CHKPTSCHEMA.pb".
# For "mysql" driver, the DSN is a URL in the form "USER:PASS@tcp(HOST:PORT)/".
# If not specified, the TiDB server from the [tidb] section will be used to store the checkpoints.
#dsn = "/tmp/tidb_lightning_checkpoint.pb"
# Whether to keep the checkpoints after all data are imported. If false, the checkpoints will be deleted. The schema
# needs to be dropped manually, however.
#keep-after-success = false

[tikv-importer]
# Delivery backend, can be "importer", "local" or "tidb".
backend = "importer"
# Address of tikv-importer when the backend is 'importer'
addr = "127.0.0.1:8287"
# What to do on duplicated record (unique key conflict) when the backend is 'tidb'. Possible values are:
#  - replace: replace the old record by the new record (i.e. insert rows using "REPLACE INTO")
#  - ignore: keep the old record and ignore the new record (i.e. insert rows using "INSERT IGNORE INTO")
#  - error: stop Lightning and report an error (i.e. insert rows using "INSERT INTO")
#on-duplicate = "replace"
# Maximum KV size of SST files produced in the 'local' backend. This should be the same as
# the TiKV region size to avoid further region splitting. The default value is 96 MiB.
#region-split-size = '96MiB'
# write key-values pairs to tikv batch size
#send-kv-pairs = 32768
# local storage directory used in "local" backend.
#sorted-kv-dir = ""
# Maximum size of the local storage directory. Periodically, Lightning will check if the total storage size exceeds this
# value. If so the "local" backend will block and immediately ingest the largest engines into the target TiKV until the
# usage falls below the specified capacity.
# Note that the disk-quota IS NOT A HARD LIMIT. There are chances that the usage overshoots the quota before it was
# detected. The overshoot is up to 6.3 GiB in default settings (8 open engines, 40 region-concurrency, check quota every
# minute).
# Setting the disk quota too low may cause engines to overlap each other too much and slow down import.
# This setting is ignored in "tidb" and "importer" backends.
# The default value of 0 means letting Lightning to automatically pick an appropriate capacity using the free disk space
# of sorted-kv-dir, subtracting the overshoot.
#disk-quota = 0
# range-concurrency controls the maximum ingest concurrently while writing to tikv, It can affect the network traffic.
# this default config can make full use of a 10Gib bandwidth network, if the network bandwidth is higher, you can increase
# this to gain better performance. Larger value will also increase the memory usage slightly.
#range-concurrency = 16
# The memory cache used in local backend for each engine. The memory usage during write-KV phase by the engines is bound
# by (index-concurrency + table-concurrency) * engine-mem-cache-size.
#engine-mem-cache-size = '512MiB'
# The memory cache used in for local sorting during the encode-KV phase before flushing into the engines. The memory
# usage is bound by region-concurrency * local-writer-mem-cache-size.
#local-writer-mem-cache-size = '128MiB'

[mydumper]
# block size of file reading
read-block-size = '64KiB'
# minimum size (in terms of source data file) of each batch of import.
# Lightning will split a large table into multiple engine files according to this size.
#batch-size = '100GiB'

# Engine file needs to be imported sequentially. Due to table-concurrency, multiple engines will be
# imported nearly the same time, and this will create a queue and this wastes resources. Therefore,
# Lightning will slightly increase the size of the first few batches to properly distribute
# resources. The scale up is controlled by this parameter, which expresses the ratio of duration
# between the "import" and "write" steps with full concurrency. This can be calculated as the ratio
# (import duration / write duration) of a single table of size around 1 GB. The exact timing can be
# found in the log. If "import" is faster, the batch size anomaly is smaller, and a ratio of
# zero means uniform batch size. This value should be in the range (0 <= batch-import-ratio < 1).
batch-import-ratio = 0.75

# mydumper local source data directory
data-source-dir = "/tmp/export-20180328-200751"
# if no-schema is set true, lightning will get schema information from tidb-server directly without creating them.
no-schema=false
# the character set of the schema files; only supports one of:
#  - utf8mb4: the schema files must be encoded as UTF-8, otherwise will emit errors
#  - gb18030: the schema files must be encoded as GB-18030, otherwise will emit errors
#  - auto:    (default) automatically detect if the schema is UTF-8 or GB-18030, error if the encoding is neither
#  - binary:  do not try to decode the schema files
# note that the *data* files are always parsed as binary regardless of schema encoding.
#character-set = "auto"

# make table and database names case-sensitive, i.e. treats `DB`.`TBL` and `db`.`tbl` as two
# different objects. Currently only affects [[routes]].
case-sensitive = false

# if strict-format is ture, lightning will use '\r' and '\n' to determine the end of each line. Make sure your data
# doesn't contain '\r' or '\n' if strict-format is enabled, or csv parser may parse incorrect result.
strict-format = false
# if strict-format is true, large CSV files will be split to multiple chunks, which Lightning
# will restore in parallel. The size of each chunk is `max-region-size`, where the default is 256 MiB.
#max-region-size = '256MiB'

# enable file router to use the default rules. By default, it will be set to true if no `mydumper.files`
# rule is provided, else false. You can explicitly set it to `true` to enable the default rules, they will
# take effect on files that on other rules are match.
# The default file routing rules' behavior is the same as former versions without this conf, that is:
#   {schema}-schema-create.sql --> schema create sql file
#   {schema}.{table}-schema.sql --> table schema sql file
#   {schema}.{table}.{0001}.{sql|csv|parquet} --> data source file
#   *-schema-view.sql, *-schema-trigger.sql, *-schema-post.sql --> ignore all the sql files end with these pattern
#default-file-rules = false

# only import tables if the wildcard rules are matched. See documention for details.
filter = ['*.*', '!mysql.*', '!sys.*', '!INFORMATION_SCHEMA.*', '!PERFORMANCE_SCHEMA.*', '!METRICS_SCHEMA.*', '!INSPECTION_SCHEMA.*']

# CSV files are imported according to MySQL's LOAD DATA INFILE rules.
[mydumper.csv]
# separator between fields, can be one or more characters but empty. The value can
# not be prefix of `delimiter`.
separator = ','
# string delimiter, can either be one or more characters or empty string. If not empty,
# the value should not be prefix of `separator`
delimiter = '"'
# row terminator, can be an empty string or not.
# An empty string means both \r and \n are considered a terminator. This is the normal CSV behavior.
# A non-empty string means the row ends only when such terminator is matched exactly (or reaching the end of file).
# If the file content matches both the terminator and separator, the terminator takes precedence.
terminator = ''
# whether the CSV files contain a header. If true, the first line will be skipped
header = true
# whether the CSV contains any NULL value. If true, all columns from CSV cannot be NULL.
not-null = false
# if non-null = false (i.e. CSV can contain NULL), fields equal to this value will be treated as NULL
null = '\N'
# whether to interpret backslash-escape inside strings.
backslash-escape = true
# if a line ends with a separator, remove it.
# deprecated - consider using the terminator option instead.
#trim-last-separator = false

# file level routing rule that map file path to schema,table,type,sort-key
# The schema, table , type and key can be either a constant string or template strings
# supported by go regexp.
#[[mydumper.files]]
# pattern and path determine target source files, you can use either of them but not both.
# pattern is a regexp in Go syntax that can match one or more files in `source-dir`.
#pattern = '(?i)^(?:[^/]*/)(?P<schema>[^/.]+)\.([^/.]+)(?:\.([0-9]+))?\.(sql|csv)$'
# path is the target file path, both absolute file path or relative path to `mydump.source-dir` are supported.
# the path separator is always converted to '/', regardless of operating system.
#path = "schema_name.table_name.00001.sql"
# schema(database) name
#schema = "$schema"
# table name
#table = "$2"
# file type, can be one of schema-schema, table-schema, sql, csv
#type = "$4"
# an arbitrary string used to maintain the sort order among the files for row ID allocation and checkpoint resumption
#key = "$3"

# configuration for tidb server address(one is enough) and pd server address(one is enough).
[tidb]
host = "127.0.0.1"
port = 4000
user = "root"
password = ""
# table schema information is fetched from tidb via this status-port.
status-port = 10080
pd-addr = "127.0.0.1:2379"
# lightning uses some code of tidb(used as library), and the flag controls it's log level.
log-level = "error"

# sets maximum packet size allowed for SQL connections.
# set this to 0 to automatically fetch the `max_allowed_packet` variable from server on every connection.
# max-allowed-packet = 67_108_864

# whether to use TLS for SQL connections. valid values are:
#  * ""            - force TLS (same as "cluster") if [tidb.security] section is populated, otherwise same as "false"
#  * "false"       - disable TLS
#  * "cluster"     - force TLS and verify the server's certificate with the CA specified in the [tidb.security] section
#  * "skip-verify" - force TLS but do not verify the server's certificate (insecure!)
#  * "preferred"   - same as "skip-verify", but if the server does not support TLS, fallback to unencrypted connection
# tls = ""

# set tidb session variables to speed up checksum/analyze table.
# see https://pingcap.com/docs/sql/statistics/#control-analyze-concurrency for the meaning of each setting
build-stats-concurrency = 20
distsql-scan-concurrency = 15
index-serial-scan-concurrency = 20
# checksum-table-concurrency controls the maximum checksum table tasks to run concurrently.
checksum-table-concurrency = 2

# specifies certificates and keys for TLS-enabled MySQL connections.
# defaults to a copy of the [security] section.
#[tidb.security]
# public certificate of the CA. Set to empty string to disable TLS.
# ca-path = "/path/to/ca.pem"
# public certificate of this service. Default to copy of `security.cert-path`
# cert-path = "/path/to/lightning.pem"
# private key of this service. Default to copy of `security.key-path`
# key-path = "/path/to/lightning.key"

# post-restore provide some options which will be executed after all kv data has been imported into the tikv cluster.
# the execution order are(if set true): checksum -> analyze
[post-restore]
# config whether to do `ADMIN CHECKSUM TABLE <table>` after restore finished for each table.
# valid options:
# - "off". do not do checksum.
# - "optional". do execute admin checksum, but will ignore any error if checksum fails.
# - "required". default option. do execute admin checksum, if checksum fails, lightning will exit with failure.
# NOTE: for backward compatibility, bool values `true` and `false` is also allowed for this field. `true` is
# equivalent to "required" and `false` is equivalent to "off".
checksum = "required"
# if set true, analyze will do `ANALYZE TABLE <table>` for each table.
# the config options is the same as 'post-restore.checksum'.
analyze = "optional"
# if set to true, compact will do level 1 compaction to tikv data.
# if this setting is missing, the default value is false.
level-1-compact = false
# if set true, compact will do full compaction to tikv data.
# if this setting is missing, the default value is false.
compact = false
# if set to true, lightning will run checksum and analyze for all tables together at last
post-process-at-last = true

# cron performs some periodic actions in background
[cron]
# duration between which Lightning will automatically refresh the import mode status.
# should be shorter than the corresponding TiKV setting
switch-mode = "5m"
# the duration which the an import progress will be printed to the log.
log-progress = "5m"
# the duration which tikv-importer.sorted-kv-dir-capacity is checked.
check-disk-quota = "1m"