Parquet Ingestion Fixture Matrix

Choose Parquet fixtures for columnar ingestion, warehouse imports, nested-column handling, and batch-load validation.

Como usar esta matriz

Covers flat all-types data, binary-heavy rows, and list-column layouts from a real parquet corpus.
Useful for warehouse loaders, parquet readers, and schema-shape validation in ETL jobs.
Anchored to ETL and warehouse packs for one-click ingestion test setup.

Esta matriz esta vinculada a la biblioteca de PARQUET y a su manifiesto.

Variante	Perfil	Foco de prueba	Archivo	Tamano	Descargar
All Types Parquet Good default parquet fixture for reader smoke tests and columnar import validation.	Columnar baseline	Primitive type handling	`parquet_alltypes_plain_sample.parquet`	1.8 KB	Descargar
Binary Records Parquet Useful when warehouse and ETL readers need to preserve binary or blob-like columns.	Binary-value dataset	Binary column decoding	`parquet_binary_records_sample.parquet`	478 B	Descargar
List Columns Parquet Targets nested-column readers, schema inspection, and downstream flattening logic.	Nested column fixture	Repeated/list column handling	`parquet_list_columns_sample.parquet`	2.5 KB	Descargar

Bundle of real Parquet, Avro, SQLite, NDJSON, and CSV fixtures for ETL staging, warehouse loads, and ingestion-pipeline validation.

etl_validation_fixture_pack.zip · 4.6 KB

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Bundle of real Parquet, Avro, SQLite, CSV, and JSON fixtures for warehouse import, schema mapping, and analytic table-load workflows.

warehouse_import_fixture_pack.zip · 3.7 KB

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Parquet, Avro, SQLite, NDJSON, and CSV fixtures for ETL staging, warehouse loads, and bulk-ingestion validation.

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Avro, SQLite, Parquet, and JSON fixtures for producer/consumer drift, nullable fields, and migration-aware schema validation.

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