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# This file if written with pyarrow==2.0.0 can't be read by pyarrow==8.0.0 | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
schema = pa.schema([ | |
("col1", pa.int8()), | |
("col2", pa.string()), | |
("col3", pa.float64()), | |
("col4", pa.dictionary(pa.int32(), pa.string(), ordered=False)) | |
]) | |
table = pa.table([ | |
[1, 2, 3, 4, 5], | |
["a", "b", "c", "d", "e"], | |
[1.0, 2.0, 3.0, 4.0, 5.0], | |
["a", "a", "a", "b", "b"] | |
], schema=schema) | |
output_file = 'test2.parq' | |
with pq.ParquetWriter( | |
output_file, | |
schema, | |
compression='snappy', | |
allow_truncated_timestamps=True, | |
version='2.0', # Highest available schema | |
data_page_version='2.0', # Highest available schema | |
# Convert these columns to categorical values, must be bytes keys as seen on | |
# https://stackoverflow.com/questions/56377848/writing-stream-of-big-data-to-parquet-with-python | |
use_dictionary=[category.encode('utf-8') for category in ['col4']], | |
) as writer: | |
writer.write_table( | |
table, | |
row_group_size=10000 | |
) |
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Link to sample parquet: https://www.dropbox.com/s/portxgch3fpovnz/test2.parq?dl=0