should be it

external/duckdb/data/parquet-testing/LICENSE.txt

@@ -0,0 +1,203 @@
+
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external/duckdb/data/parquet-testing/byte_stream_split.csv

@@ -0,0 +1,101 @@
+"floats"|"doubles"|"nullable_floats"
+27.392338|-4.002415238433571|NULL
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external/duckdb/data/parquet-testing/compression/generate-data.py

@@ -0,0 +1,91 @@
+#! /usr/bin/env python3
+
+import itertools
+import numpy as np
+from numpy.random import Generator, PCG64
+from pathlib import Path
+import pyarrow as pa
+import pyarrow.parquet as pq
+
+
+"""Generate data to test parquet data page decompression."""
+
+
+COMPRESSION_CODECS = [
+    "NONE",
+    "SNAPPY",
+    "GZIP",
+    # Brotli is currently not supported by duckdb
+    "BROTLI",
+    # This generates the new LZ4_RAW parquet compression, which duckdb does not
+    # support
+    "LZ4",
+    "ZSTD",
+]
+
+
+DATA_PAGE_VERSIONS = [
+    "1.0",
+    "2.0",
+]
+
+
+def build_table():
+    # Init rng in a reproducible way
+    rng = Generator(PCG64(12345))
+
+
+    # Plain table.
+    N = 30  # column count
+    p = .2  # NULL probability
+
+    columns = {}
+
+    # Integer columns, no nesting, no NULL, no repetition
+    columns["plain"] = pa.array(np.arange(N))
+    columns["plain_random"] = pa.array(rng.choice(N, N))
+
+    # Mixed dtype struct column, NULLs exist at all levels
+    x = pa.array(
+        rng.choice(["foo", "bar", "baz"], N),
+        mask=rng.choice([True, False], N, p=[p, 1 - p]),
+    )
+    y = pa.array(
+        rng.choice(42, N),
+        mask=rng.choice([True, False], N, p=[p, 1 - p]),
+    )
+    z = pa.StructArray.from_arrays(
+        (x, y), names=("string", "int"),
+        mask=pa.array(rng.choice([True, False], N, p=[p, 1 - p])),
+    )
+    columns["nested_nulls"] = z
+
+    # Integer list with variable list length and NULLs
+    values = list(range(42)) + [None]
+    columns["list"] = pa.array(
+        [rng.choice(values, count) for count in rng.choice(20, N)],
+        mask=pa.array(rng.choice([True, False], N, p=[p, 1 - p])),
+    )
+
+    return pa.Table.from_pydict(columns)
+
+
+table = build_table()
+
+root = Path("generated")
+root.mkdir(exist_ok=True)
+
+for compression, data_page_version in itertools.product(COMPRESSION_CODECS, DATA_PAGE_VERSIONS):
+    pq_args = { 
+        "data_page_version": data_page_version,
+        "compression": compression,
+    }
+
+    pq.write_table(
+        table,
+        (root / "_".join([
+            f"data_page={data_page_version[0]}",
+            f"{compression}",
+        ])).with_suffix(".parquet"),
+        **pq_args
+    )