124 lines
3.5 KiB
Python
124 lines
3.5 KiB
Python
from itertools import chain
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import numpy as np
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import pandas as pd
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from pandas.api.types import union_categoricals
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from ..progress import Progress
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from ..result import QueryResult
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class NumpyQueryResult(QueryResult):
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"""
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Stores query result from multiple blocks as numpy arrays.
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"""
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def store(self, packet):
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block = getattr(packet, 'block', None)
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if block is None:
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return
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# Header block contains no rows. Pick columns from it.
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if block.num_rows:
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if self.columnar:
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self.data.append(block.get_columns())
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else:
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self.data.extend(block.get_rows())
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elif not self.columns_with_types:
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self.columns_with_types = block.columns_with_types
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def get_result(self):
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"""
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:return: stored query result.
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"""
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for packet in self.packet_generator:
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self.store(packet)
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if self.columnar:
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data = []
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# Transpose to a list of columns, each column is list of chunks
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for column_chunks in zip(*self.data):
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# Concatenate chunks for each column
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if isinstance(column_chunks[0], np.ndarray):
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column = np.concatenate(column_chunks)
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elif isinstance(column_chunks[0], pd.Categorical):
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column = union_categoricals(column_chunks)
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else:
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column = tuple(chain.from_iterable(column_chunks))
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data.append(column)
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else:
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data = self.data
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if self.with_column_types:
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return data, self.columns_with_types
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else:
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return data
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class NumpyProgressQueryResult(NumpyQueryResult):
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"""
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Stores query result and progress information from multiple blocks.
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Provides iteration over query progress.
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"""
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def __init__(self, *args, **kwargs):
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self.progress_totals = Progress()
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super(NumpyProgressQueryResult, self).__init__(*args, **kwargs)
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def __iter__(self):
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return self
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def __next__(self):
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while True:
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packet = next(self.packet_generator)
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progress_packet = getattr(packet, 'progress', None)
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if progress_packet:
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self.progress_totals.increment(progress_packet)
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return (
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self.progress_totals.rows, self.progress_totals.total_rows
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)
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else:
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self.store(packet)
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def get_result(self):
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# Read all progress packets.
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for _ in self:
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pass
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return super(NumpyProgressQueryResult, self).get_result()
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class NumpyIterQueryResult(object):
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"""
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Provides iteration over returned data by chunks (streaming by chunks).
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"""
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def __init__(
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self, packet_generator,
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with_column_types=False):
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self.packet_generator = packet_generator
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self.with_column_types = with_column_types
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self.first_block = True
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super(NumpyIterQueryResult, self).__init__()
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def __iter__(self):
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return self
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def __next__(self):
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packet = next(self.packet_generator)
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block = getattr(packet, 'block', None)
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if block is None:
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return []
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if self.first_block and self.with_column_types:
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self.first_block = False
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rv = [block.columns_with_types]
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rv.extend(block.get_rows())
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return rv
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else:
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return block.get_rows()
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