Tag

#duckdb

11 posts ·all posts

The partition list lives next to the data

Cycle 2 of SQE's Hive external tables replaces the per-query prefix LIST with a partition index persisted in the sidecar manifest, maintained by MSCK REPAIR TABLE and ALTER TABLE ADD/DROP PARTITION. Athena asks Glue for the partition list over an API. SQE reads one ETag-cached JSON object sitting beside the files. On a 449-partition slice of the public Bitcoin dataset a pinned query goes from 99 ms to 1.9 ms cold, and DuckDB on the same files stays at 44 ms because it re-globs every query. Partition projection is implemented too, and measurably slower than the index on the same pin.

Read

Six groups where the spec allows four

TPC-H q01 returned six (returnflag, linestatus) combinations on our generated data. The spec defines exactly four. Both SQE and Trino agreed on the wrong answer, because both read the same broken tables. The bug class behind it: fields the spec derives from other fields, drawn instead as independent uniform random. Five defects in TPC-H, one in SSB, all the same shape.

Read

The benchmark that lied, the oracle that didn't, and the day Trino was wrong

Our SF0.1 compare run looked great: zero mismatches across seven suites. Then we asked DuckDB to check the data and found that 16 'passing' TPC-DS queries had never selected a single row, TPC-C had zero warehouses, and the one real disagreement between SQE and Trino was Trino's fault. Plus: the dynamic filter that shipped 6 million rows because nobody carried it across a node swap.

Read

The type matrix as a roadmap: seven DuckDB types in two days

We started with a markdown table tracking which DuckDB types we could round-trip. The table became the roadmap. DECIMAL, LIST, STRUCT, MAP, ARRAY, ENUM, UNION each got their own MR. The surprises came from how DuckDB models the relationships: MAP is LIST<STRUCT>, UNION is STRUCT with a tag field, and DECIMAL packs four widths into one logical type.

Read

Porting DuckDB's BinarySerializer to pure Rust

Ten sub-MRs in a day. The wire format, the fixture-driven debugging loop, and two bugs that the C++ reference encoder ships without telling you: WriteListWithDefault elision, and uninitialised bytes at NULL VARCHAR positions.

Read

How we accidentally created a DuckDB

SQE started as a distributed Iceberg query engine. Five MRs later it queries CSVs from disk, Parquet from S3, and Parquet from HuggingFace. We did not plan that.

Read

One Binary, No Cluster: SQE Goes Embedded

We built SQE for distributed Iceberg, but most of the time you just want to look at a parquet file. Here's how we made the engine work both ways without forking the codebase.

Read

Duckberg!

I wrote a previous small blog about PyIceberg and Glue iceberg Rest Api This week is saw the...

Read