0.2.0

Added

• Parquet sorting column metadata for query optimization. When start_int columns
  are configured, mmdbconvert now writes sorting metadata to the Parquet file
  declaring that rows are sorted by start_int in ascending order. This enables
  query engines like DuckDB, Spark, and Trino to use the sort order for
  potential optimizations like binary search.
• New network_bucket network column type for CSV and Parquet output, enabling
  efficient IP lookups in BigQuery and other analytics platforms. When a network
  spans multiple buckets, rows are duplicated with different bucket values while
  preserving original network info. For IPv4, the bucket is an integer. For
  IPv6, the bucket is either a hex string (e.g.,
  "200f0000000000000000000000000000") or an integer depending on
  ipv6_bucket_type. Requires split output files (ipv4_file and ipv6_file).
• New CSV and Parquet options ipv4_bucket_size and ipv6_bucket_size to
  configure bucket prefix lengths (default: 16).
• New CSV and Parquet option ipv6_bucket_type to configure the IPv6 network
  bucket column format (default: string).
• Public Go library API. The package now exposes Run() and Options at the
  module root, allowing internal tools to import mmdbconvert directly instead of
  shelling out to the CLI binary.