• ape-dts is a data migration tool enabling any-to-any data transfers.
• It also provides data subscription and data processing.
• It is lightweight, efficient and standalone, requiring no third-party components or extra storage.
• In Rust.

• Supports data migration between various databases, both homogeneous and heterogeneous.
• Supports snapshot and cdc tasks with resume from breakpoint.
• Supports checking and revising data.
• Supports filtering and routing at the database, table, and column levels.
• Implements different parallel algorithms for different sources, targets, and task types to improve performance.
• Allows loading user-defined Lua scripts to modify the data.
• Supports starting ape-dts as an HTTP server to pull data from the source, allowing users to use any language's HTTP client to retrieve and consume the data.

• prerequisites
• mysql -> mysql
• pg -> pg
• mongo -> mongo
• redis -> redis
• mysql -> starrocks
• mysql -> doris
• mysql -> clickhouse
• mysql -> tidb
• mysql -> kafka -> consumer
• pg -> starrocks
• pg -> doris
• pg -> clickhouse
• pg -> kafka -> consumer
• mysql -> ape_dts(HTTP server) -> consumer
• pg -> ape_dts(HTTP server) -> consumer
• snapshot + cdc without data loss
• modify data by lua

Refer to test docs for details.

• Configurations
  • config details
• Structure tasks
  • migration
  • check
  • check by Liquibase
• Snapshot tasks
  • data migration
  • data check
  • data revise
  • data review
  • resume at breakpoint
  • multiple tables in parallel
• CDC tasks
  • data sync
  • heartbeat to source database
  • two-way data sync
  • generate sqls from CDC
  • resume at breakpoint
• Custom consumers
  • mysql/pg -> kafka -> consumer
  • mysql/pg -> ape_dts(HTTP server) -> consumer
• Data processing
  • modify data by lua
• Monitor
  • monitor info
  • position info
• Task templates
  • mysql -> mysql
  • pg -> pg
  • mongo -> mongo
  • redis -> redis
  • mysql/pg -> kafka
  • mysql/pg -> ape_dts(HTTP server)
  • mysql -> starrocks
  • mysql -> doris
  • mysql -> clickhouse
  • pg -> starrocks
  • pg -> doris
  • pg -> clickhouse

• MySQL -> MySQL, Snapshot

• MySQL -> MySQL, CDC

• Image size

• more benchmark details

• dt-main: program entry

• dt-connector: extractors + sinkers for databases

• dt-pipeline: pipeline to connect extractors and sinkers

• dt-parallelizer: parallel algorithms

• dt-task: create extractors + sinkers + pipelines + parallelizers according to configurations

• dt-common: common utils, basic data structures, metadata management

• dt-tests: integration tests

• related sub module: mysql binlog connector in rust

• cargo build
• build images

• run cargo clippy --all-targets --all-features --workspace fix all clippy issues.

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