pypaimon/api/table_read.py (23 lines of code) (raw):
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import pandas as pd
import pyarrow as pa
from abc import ABC, abstractmethod
from pypaimon.api import Split
from typing import List, Optional, TYPE_CHECKING
if TYPE_CHECKING:
import ray
from duckdb.duckdb import DuckDBPyConnection
class TableRead(ABC):
"""To read data from data splits."""
@abstractmethod
def to_arrow(self, splits: List[Split]) -> pa.Table:
"""Read data from splits and converted to pyarrow.Table format."""
@abstractmethod
def to_arrow_batch_reader(self, splits: List[Split]) -> pa.RecordBatchReader:
"""Read data from splits and converted to pyarrow.RecordBatchReader format."""
@abstractmethod
def to_pandas(self, splits: List[Split]) -> pd.DataFrame:
"""Read data from splits and converted to pandas.DataFrame format."""
@abstractmethod
def to_duckdb(
self,
splits: List[Split],
table_name: str,
connection: Optional["DuckDBPyConnection"] = None) -> "DuckDBPyConnection":
"""Convert splits into an in-memory DuckDB table which can be queried."""
@abstractmethod
def to_ray(self, splits: List[Split]) -> "ray.data.dataset.Dataset":
"""Convert splits into a Ray dataset format."""