ODBC setup for KDB+ to query other databases

[rocuinneagain]

ODBC:

• kdb/odbc.pdf at master johnanthonyludlow/kdb GitHub
• kdb/odbc.txt at master KxSystems/kdb GitHub
• kdb/odbc.k at master KxSystems/kdb GitHub

JDBC:

• GitHub – CharlesSkelton/babel: Babel for kdb+ / Query any database from kdb+ via jdbc

 

EmbedPy is also an option which has a lot of flexibility.

Some example of Pandas/PyODBC/SQLAlchemy usage below

 

// https://github.com/KxSystems/embedPy 
system"\l p.q"; 
// https://github.com/KxSystems/ml 
system"\l ml/ml.q"; 
.ml.loadfile`:init.q; 
odbc:.p.import[`pyodbc]; 
pd:.p.import[`pandas]; 
connectString:";" 
sv {string[x],"=",y}(.)/:( (`Driver;"{ODBC Driver 17 for SQL Server}"); (`Server;"server.domain.com\DB01"); (`Database;"Data"); (`UID;"KX"); (`PWD;"password") ); 
connSqlServer:odbc[`:connect][connectString]; 
data:.ml.df2tab pd[`:read_sql]["SELECT * FROM tableName";connSqlServer]; 
cursor:connSqlServer[`:cursor][]; 
cursor[`:execute]["TRUNCATE FROM tableName"]; 
connSqlServer[`:commit][]; 
sa:.p.import`sqlalchemy; 
engine:sa[`:create_engine]["mssql+pyodbc://KX:password@server.domain.com\DB01/Data?driver=ODBC+Driver+17+for+SQL+Server"]; 
df:.ml.tab2df[data]; //Data to publish 
df[`:to_sql]["tableName";engine; `if_exists pykw `append;`index pykw 0b];