How to convert python datetime to timestamp and insert in oracle database using to_sql
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I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:
import sqlalchemy as sa
import datetime
import itertools
...
oracle_db = sa.create_engine('oracle://username:password@host:port/database')
connection= oracle_db.connect()
...
dat_ult_alt = datetime.datetime.now()
df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
df_plano.to_sql('table_name', connection, if_exists='append', index=False)
This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?
python oracle sqlalchemy timestamp pandas-to-sql
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
add a comment |
0
I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:
import sqlalchemy as sa
import datetime
import itertools
...
oracle_db = sa.create_engine('oracle://username:password@host:port/database')
connection= oracle_db.connect()
...
dat_ult_alt = datetime.datetime.now()
df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
df_plano.to_sql('table_name', connection, if_exists='append', index=False)
This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?
python oracle sqlalchemy timestamp pandas-to-sql
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
add a comment |
0
0
0
I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:
import sqlalchemy as sa
import datetime
import itertools
...
oracle_db = sa.create_engine('oracle://username:password@host:port/database')
connection= oracle_db.connect()
...
dat_ult_alt = datetime.datetime.now()
df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
df_plano.to_sql('table_name', connection, if_exists='append', index=False)
This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?
python oracle sqlalchemy timestamp pandas-to-sql
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:
import sqlalchemy as sa
import datetime
import itertools
...
oracle_db = sa.create_engine('oracle://username:password@host:port/database')
connection= oracle_db.connect()
...
dat_ult_alt = datetime.datetime.now()
df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
df_plano.to_sql('table_name', connection, if_exists='append', index=False)
This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?
python oracle sqlalchemy timestamp pandas-to-sql
python oracle sqlalchemy timestamp pandas-to-sql
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
edited Nov 22 '18 at 19:22
Patricia Rocha Faria
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
asked Nov 22 '18 at 14:17
Patricia Rocha FariaPatricia Rocha Faria
12
12
add a comment |
add a comment |
1 Answer
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Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.
create table test ( tstamp TIMESTAMP);
import cx_Oracle
import datetime
conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
cur = conn.cursor()
dtime=datetime.datetime.now()
cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
cur.execute(None, {'ts':dtime})
conn.commit()
conn.close()
select * from test;
TSTAMP
------------------------------
22-11-18 09:14:19.422278000 PM
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.
create table test ( tstamp TIMESTAMP);
import cx_Oracle
import datetime
conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
cur = conn.cursor()
dtime=datetime.datetime.now()
cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
cur.execute(None, {'ts':dtime})
conn.commit()
conn.close()
select * from test;
TSTAMP
------------------------------
22-11-18 09:14:19.422278000 PM
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
add a comment |
0
Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.
create table test ( tstamp TIMESTAMP);
import cx_Oracle
import datetime
conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
cur = conn.cursor()
dtime=datetime.datetime.now()
cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
cur.execute(None, {'ts':dtime})
conn.commit()
conn.close()
select * from test;
TSTAMP
------------------------------
22-11-18 09:14:19.422278000 PM
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
add a comment |
0
0
0
Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.
create table test ( tstamp TIMESTAMP);
import cx_Oracle
import datetime
conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
cur = conn.cursor()
dtime=datetime.datetime.now()
cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
cur.execute(None, {'ts':dtime})
conn.commit()
conn.close()
select * from test;
TSTAMP
------------------------------
22-11-18 09:14:19.422278000 PM
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.
create table test ( tstamp TIMESTAMP);
import cx_Oracle
import datetime
conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
cur = conn.cursor()
dtime=datetime.datetime.now()
cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
cur.execute(None, {'ts':dtime})
conn.commit()
conn.close()
select * from test;
TSTAMP
------------------------------
22-11-18 09:14:19.422278000 PM
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
answered Nov 22 '18 at 15:50
Kaushik NayakKaushik Nayak
22.4k41332
22.4k41332
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
add a comment |
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
– Patricia Rocha Faria
Nov 22 '18 at 19:09
add a comment |
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