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import pandas as pd | |
import sqlalchemy as sa | |
from sqlalchemy_cockroachdb.transaction import run_transaction | |
engine = sa.create_engine( | |
"cockroachdb+psycopg2://root@localhost:26257/defaultdb" | |
) | |
def crdb_insert_trans(table, eng, keys, data_iter): |
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import pandas as pd | |
import sqlalchemy as sa | |
from sqlalchemy_cockroachdb.transaction import run_transaction | |
connection_url = "cockroachdb+psycopg2://root@localhost:26257/defaultdb" | |
connection_url = "postgresql+psycopg2://scott:[email protected]/test" | |
engine = sa.create_engine(connection_url) | |
def read_sql_qry_trans(qry, engine_): |
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""" | |
A DataFrame that contains a lot of "null" values (NaN, etc.) can cause a | |
significant performance penalty with fast_executemany=True. For details, see | |
https://github.com/mkleehammer/pyodbc/issues/741 | |
This routine scans the specified DataFrame to see how many "row scans" would be | |
required when using .to_sql() with fast_executemany=True. The first row must | |
always be scanned, but after that a re-scan will flush the current rows to the | |
server, increasing network traffic and slowing things down. |
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# Copyright 2024 Gordon D. Thompson, [email protected] | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright 2024 Gordon D. Thompson, [email protected] | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Alternative to_sql() *method* for mssql+pyodbc, mssql+pymssql, or mssql+pytds | |
# | |
# adapted from https://pandas.pydata.org/docs/user_guide/io.html#io-sql-method | |
# | |
# version 1.6 - 2024-03-28 | |
from datetime import date | |
import json | |
import pandas as pd | |
import sqlalchemy as sa |
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/* | |
* Copyright 2017 Gordon D. Thompson | |
* | |
* Licensed under the Apache License, Version 2.0 (the "License"); | |
* you may not use this file except in compliance with the License. | |
* You may obtain a copy of the License at | |
* | |
* http://www.apache.org/licenses/LICENSE-2.0 | |
* | |
* Unless required by applicable law or agreed to in writing, software |