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refactoring from HLG to from_map #83

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51 changes: 33 additions & 18 deletions dask_bigquery/core.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
import pandas as pd
import pyarrow
from dask.base import tokenize
import dask.dataframe as dd
from dask.dataframe.core import new_dd_object
from dask.highlevelgraph import HighLevelGraph
from dask.layers import DataFrameIOLayer
Expand Down Expand Up @@ -206,33 +207,47 @@ def make_create_read_session_request():
)
meta = schema.empty_table().to_pandas(**arrow_options)

label = "read-gbq-"
output_name = label + tokenize(
project_id,
dataset_id,
table_id,
row_filter,
read_kwargs,
)
# label = "read-gbq-"
# output_name = label + tokenize(
# project_id,
# dataset_id,
# table_id,
# row_filter,
# read_kwargs,
# )

layer = DataFrameIOLayer(
output_name,
meta.columns,
[stream.name for stream in session.streams],
return dd.from_map(
partial(
bigquery_read,
make_create_read_session_request=make_create_read_session_request,
project_id=project_id,
read_kwargs=read_kwargs,
read_kwargs=read_kwargs,
arrow_options=arrow_options,
credentials=credentials,
),
label=label,
)
divisions = tuple([None] * (len(session.streams) + 1))
[stream.name for stream in session.streams],
meta=meta,
)


graph = HighLevelGraph({output_name: layer}, {output_name: set()})
return new_dd_object(graph, output_name, meta, divisions)
# layer = DataFrameIOLayer(
# output_name,
# meta.columns,
# [stream.name for stream in session.streams],
# partial(
# bigquery_read,
# make_create_read_session_request=make_create_read_session_request,
# project_id=project_id,
# read_kwargs=read_kwargs,
# arrow_options=arrow_options,
# credentials=credentials,
# ),
# label=label,
# )
# divisions = tuple([None] * (len(session.streams) + 1))

# graph = HighLevelGraph({output_name: layer}, {output_name: set()})
# return new_dd_object(graph, output_name, meta, divisions)


def to_gbq(
Expand Down
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