Mixing
Fetch DB tables blueprint like “describe table_name” commande from redshift and DB2 from python
I want to fetch data using my python code like we do with describe [tableName] statement. I want to do that on Redshift and DB2.
I tried to do that using Pandas and cursors, I tried the following chunks of commands:
"set search_path to SCHEMA; select * from pg_table_def where schemaname = 'schema' and LOWER(tablename) = 'TableName';describe schema.tableNameselect column_name, data_type, character_manimum_length from information_schema.columns where table_schema = 'Schema' and table_name = 'TableName';d or d+
.
import psycopg2
import numpy as np
import pandas as pd
con=psycopg2.connect(dbname= 'DBNAME', host="Host-Link",
port= '5439', user= 'username', password= 'password')
print(con)
cur = con.cursor()
query = "set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';"
cur.execute(query)
temp = cur.fetchall()
print(temp)
data_frame = pd.read_sql("set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';", con)
print(data_frame)
con.close()
I want the output as following:
COLUMN_NAME DATA_TYPE PK NULLABLE DEFAULT AUTOINCREMENT COMPUTED REMARKS POSITION
col1 varchar(10) YES NO NO NO 1
col2 varchar(50) NO NO NO NO 2
col3 smallint NO NO NO NO 3
python pandas db2 cursor amazon-redshift
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
add a comment |
I want to fetch data using my python code like we do with describe [tableName] statement. I want to do that on Redshift and DB2.
I tried to do that using Pandas and cursors, I tried the following chunks of commands:
"set search_path to SCHEMA; select * from pg_table_def where schemaname = 'schema' and LOWER(tablename) = 'TableName';describe schema.tableNameselect column_name, data_type, character_manimum_length from information_schema.columns where table_schema = 'Schema' and table_name = 'TableName';d or d+
.
import psycopg2
import numpy as np
import pandas as pd
con=psycopg2.connect(dbname= 'DBNAME', host="Host-Link",
port= '5439', user= 'username', password= 'password')
print(con)
cur = con.cursor()
query = "set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';"
cur.execute(query)
temp = cur.fetchall()
print(temp)
data_frame = pd.read_sql("set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';", con)
print(data_frame)
con.close()
I want the output as following:
COLUMN_NAME DATA_TYPE PK NULLABLE DEFAULT AUTOINCREMENT COMPUTED REMARKS POSITION
col1 varchar(10) YES NO NO NO 1
col2 varchar(50) NO NO NO NO 2
col3 smallint NO NO NO NO 3
python pandas db2 cursor amazon-redshift
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
add a comment |
I want to fetch data using my python code like we do with describe [tableName] statement. I want to do that on Redshift and DB2.
I tried to do that using Pandas and cursors, I tried the following chunks of commands:
"set search_path to SCHEMA; select * from pg_table_def where schemaname = 'schema' and LOWER(tablename) = 'TableName';describe schema.tableNameselect column_name, data_type, character_manimum_length from information_schema.columns where table_schema = 'Schema' and table_name = 'TableName';d or d+
.
import psycopg2
import numpy as np
import pandas as pd
con=psycopg2.connect(dbname= 'DBNAME', host="Host-Link",
port= '5439', user= 'username', password= 'password')
print(con)
cur = con.cursor()
query = "set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';"
cur.execute(query)
temp = cur.fetchall()
print(temp)
data_frame = pd.read_sql("set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';", con)
print(data_frame)
con.close()
I want the output as following:
COLUMN_NAME DATA_TYPE PK NULLABLE DEFAULT AUTOINCREMENT COMPUTED REMARKS POSITION
col1 varchar(10) YES NO NO NO 1
col2 varchar(50) NO NO NO NO 2
col3 smallint NO NO NO NO 3
python pandas db2 cursor amazon-redshift
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
I want to fetch data using my python code like we do with describe [tableName] statement. I want to do that on Redshift and DB2.
I tried to do that using Pandas and cursors, I tried the following chunks of commands:
"set search_path to SCHEMA; select * from pg_table_def where schemaname = 'schema' and LOWER(tablename) = 'TableName';describe schema.tableNameselect column_name, data_type, character_manimum_length from information_schema.columns where table_schema = 'Schema' and table_name = 'TableName';d or d+
.
import psycopg2
import numpy as np
import pandas as pd
con=psycopg2.connect(dbname= 'DBNAME', host="Host-Link",
port= '5439', user= 'username', password= 'password')
print(con)
cur = con.cursor()
query = "set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';"
cur.execute(query)
temp = cur.fetchall()
print(temp)
data_frame = pd.read_sql("set search_path to Schema; select * from pg_table_def where schemaname = 'Schema' and LOWER(tablename) = 'TableName';", con)
print(data_frame)
con.close()
I want the output as following:
COLUMN_NAME DATA_TYPE PK NULLABLE DEFAULT AUTOINCREMENT COMPUTED REMARKS POSITION
col1 varchar(10) YES NO NO NO 1
col2 varchar(50) NO NO NO NO 2
col3 smallint NO NO NO NO 3
python pandas db2 cursor amazon-redshift
python pandas db2 cursor amazon-redshift
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
edited Jan 1 at 13:09
Josh Friedlander
2,7501928
2,7501928
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
asked Jan 1 at 12:48
Salman AsifSalman Asif
1
1
add a comment |
add a comment |
1 Answer
1
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oldest
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A lot of this data is included in the SVV_COLUMNS system view. You can query that table using the table_name and table_schema columns.
https://docs.aws.amazon.com/redshift/latest/dg/r_SVV_COLUMNS.html
answered Jan 3 at 15:21
IronFarmIronFarm
8612
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
A lot of this data is included in the SVV_COLUMNS system view. You can query that table using the table_name and table_schema columns.
https://docs.aws.amazon.com/redshift/latest/dg/r_SVV_COLUMNS.html
answered Jan 3 at 15:21
IronFarmIronFarm
8612
add a comment |
A lot of this data is included in the SVV_COLUMNS system view. You can query that table using the table_name and table_schema columns.
https://docs.aws.amazon.com/redshift/latest/dg/r_SVV_COLUMNS.html
answered Jan 3 at 15:21
IronFarmIronFarm
8612
add a comment |
A lot of this data is included in the SVV_COLUMNS system view. You can query that table using the table_name and table_schema columns.
https://docs.aws.amazon.com/redshift/latest/dg/r_SVV_COLUMNS.html
answered Jan 3 at 15:21
IronFarmIronFarm
8612
A lot of this data is included in the SVV_COLUMNS system view. You can query that table using the table_name and table_schema columns.
https://docs.aws.amazon.com/redshift/latest/dg/r_SVV_COLUMNS.html
answered Jan 3 at 15:21
IronFarmIronFarm
8612
answered Jan 3 at 15:21
IronFarmIronFarm
8612
answered Jan 3 at 15:21
IronFarmIronFarm
8612
answered Jan 3 at 15:21
IronFarmIronFarm
8612
8612
add a comment |
add a comment |
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