mkpipe-loader-sqlite 0.6.0

SQLite loader for mkpipe.

mkpipe-loader-sqlite

SQLite loader plugin for MkPipe. Writes Spark DataFrames into SQLite database files via JDBC.

Documentation

For more detailed documentation, please visit the GitHub repository.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

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Connection Configuration

connections:
  sqlite_target:
    variant: sqlite
    database: /full/path/to/mydb.db

---

Table Configuration

pipelines:
  - name: pg_to_sqlite
    source: pg_source
    destination: sqlite_target
    tables:
      - name: public.users
        target_name: stg_users
        replication_method: full
        batchsize: 5000

---

Write Strategy

Control how data is written to SQLite:

      - name: public.users
        target_name: stg_users
        write_strategy: upsert       # append | replace | upsert | merge
        write_key: [id]              # required for upsert/merge

Strategy	SQLite Behavior
append	Plain INSERT via JDBC (default for incremental)
replace	Drop and recreate table, then insert (default for full). Use if_exists: append to preserve existing table
upsert	INSERT ... ON CONFLICT (write_key) DO UPDATE via temp table
merge	Same as upsert for SQLite

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Write Throughput

      - name: public.users
        target_name: stg_users
        replication_method: full
        batchsize: 5000

Performance Notes

• SQLite uses file-level locking — write_partitions has no benefit here as concurrent writes will serialize or fail. Set write_partitions: 1 to avoid contention.
• Keep batchsize moderate (1,000–10,000) — large transactions in SQLite can cause memory pressure.
• SQLite is best suited for small-to-medium outputs (local development, testing, lightweight pipelines).

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All Table Parameters

Parameter	Type	Default	Description
name	string	required	Source table name
target_name	string	required	SQLite destination table name
replication_method	full / incremental	full	Replication strategy
batchsize	int	10000	Rows per JDBC batch insert
write_partitions	int	—	Set to 1 to avoid SQLite lock contention
write_strategy	string	—	append, replace, upsert, merge
write_key	list	—	Key columns for upsert/merge (required)
if_exists	string	—	replace (drop+create) or append (preserve table). Inherits from settings
dedup_columns	list	—	Columns used for mkpipe_id hash deduplication
tags	list	[]	Tags for selective pipeline execution
pass_on_error	bool	false	Skip table on error instead of failing