pythonintermediate
PyArrow Schema Enforcement
Define and enforce strict schemas on columnar data using PyArrow before writing to Parquet.
pythonPress ⌘/Ctrl + Shift + C to copy
import pyarrow as pa
import pyarrow.parquet as pq
schema = pa.schema([
pa.field('id', pa.int64(), nullable=False),
pa.field('name', pa.string(), nullable=False),
pa.field('score', pa.float32()),
pa.field('created_at', pa.timestamp('ms')),
])
table = pa.table(
{'id': [1, 2], 'name': ['Alice', 'Bob'], 'score': [0.9, 0.8], 'created_at': [1_700_000_000_000, 1_700_000_001_000]},
schema=schema,
)
pq.write_table(table, 'output.parquet', compression='zstd')
print('Written', table.num_rows, 'rows')Use Cases
- data lake storage
- schema enforcement
- Parquet writing
Tags
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