Chen Ming created ARROW-10140:
---------------------------------
Summary: No data for map column of a parquet file created from
pyarrow and pandas
Key: ARROW-10140
URL: https://issues.apache.org/jira/browse/ARROW-10140
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 1.0.1
Reporter: Chen Ming
Attachments: test_map.py
Hi,
I'm having problems reading parquet files with 'map' data type created by
pyarrow.
I followed
[https://stackoverflow.com/questions/63553715/pyarrow-data-types-for-columns-that-have-lists-of-dictionaries]
to convert a pandas DF to an arrow table, then call write_table to output a
parquet file:
(We also referred to https://issues.apache.org/jira/browse/ARROW-9812)
{code:java}
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
print(f'PyArrow Version = {pa.__version__}')
print(f'Pandas Version = {pd.__version__}')
df = pd.DataFrame({
'col1': pd.Series([
[('id', 'something'), ('value2', 'else')],
[('id', 'something2'), ('value','else2')],
]),
'col2': pd.Series(['foo', 'bar'])
})
udt = pa.map_(pa.string(), pa.string())
schema = pa.schema([pa.field('col1', udt), pa.field('col2', pa.string())])
table = pa.Table.from_pandas(df, schema)
pq.write_table(table, './test_map.parquet')
{code}
The above code (attached as test_map.py) runs smoothly on my developing
computer:
{code:java}
PyArrow Version = 1.0.1
Pandas Version = 1.1.2
{code}
And generated the test_map.parquet file (attached as test_map.parquet)
successfully.
Then I use parquet-tools (1.11.1) to read the file, but get the following
output:
{code:java}
$ java -jar parquet-tools-1.11.1.jar head test_map.parquet
col1:
.key_value:
.key_value:
col2 = foo
col1:
.key_value:
.key_value:
col2 = bar
{code}
I also checked the schema of the parquet file:
{code:java}
java -jar parquet-tools-1.11.1.jar schema test_map.parquet
message schema {
optional group col1 (MAP) {
repeated group key_value {
required binary key (STRING);
optional binary value (STRING);
}
}
optional binary col2 (STRING);
}{code}
Am I doing something wrong?
We need to output the data a parquet files, and query them later.
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