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using .to_sql() with run_transaction()
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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): | |
# to_sql() "method=" adapted from the example at | |
# https://pandas.pydata.org/docs/user_guide/io.html#io-sql-method | |
def callback(conn): | |
tbl = sa.Table( | |
table.name, | |
sa.MetaData(), | |
schema=table.schema, | |
autoload_with=eng, | |
) | |
data = [dict(zip(keys, row)) for row in data_iter] | |
conn.execute(sa.insert(tbl), data) | |
run_transaction(eng, callback) | |
df = pd.DataFrame([(1, "foo"), (2, "bar")], columns=["id", "txt"]) | |
df.to_sql( | |
"table1", engine, if_exists="append", index=False, method=crdb_insert_trans | |
) |
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