Arrow-mssql
O que é o Arrow-mssql ?
É um projeto que recebe uma tabela ou consulta do SQL SERVER
e faz a exportação para um arquivo .parquet ou .csv,
utilizando a solução arrow que é uma tecnologia com
foco em análise e desempenho na memória.
Também é possível importar um arquivo .parquet para uma tabela do sql server ou arquivo .csv.
Instalação
pip install arrow-mssql
Conexão
Para se conectar ao sql server o driver padrão
é o pyodbc é preciso fornecedor uma string de conexao
somente a string de conexão é permitida
DRIVER = (
'Driver={ODBC Driver 18 for Sql Server};'
'Server=seu_servidor;'
'Database=seu_banco_de_dados;'
'TrustServerCertificate=Yes;'
'Authentication=ActiveDirectoryIntegrated;'
)
Como usar ?
Tanto uma tabela ou consulta pode ser exportada
a exportacao é feita de forma incrimental por lotes de dados
# EXPORTANDO UMA TABELA -- para csv
to_csv(
DRIVER,
'NOME_TABELA',
schema='dbo',
database='seu_banco',
path='destino.csv'
)
# EXPORTANDO UMA CONSULTA -- para .parquet
to_parquet(
DRIVER,
'SELECT N1, N2 FROM NOME_TABELA WHERE N1 = 0',
schema='dbo',
database='seu_banco',
path='destino.parquet'
)
É possivel importar arquivos csv ou parquet, definir um limite de linhas e colunas no processo.
# IMPORTAR .parquet para tabela temporaria do ssms
# o retornor é um cursor referente a conexao com o banco de dados
with write_parquet(
DRIVER,
'##teste',
path='origem.parquet'
) as C:
...
# AGORA é possivel importar um numero limite de linhas
# e selecionar as colunas no arquivo parquet
with write_parquet(
DRIVER,
'##teste',
path='origem.parquet',
limit=100,
columns=['col1', 'col2']
) as C:
...
1 maintainer
Metadata
1 maintainer
Release files for arrow-mssql 0.0.89
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