psycopg2.errors.UndefinedTable: [duplicate] - python

I'm trying to figure out why I can't access a particular table in a PostgreSQL database using psycopg2. I am running PostgreSQL 11.5
If I do this, I can connect to the database in question and read all the tables in it:
import psycopg2
try:
connection = psycopg2.connect(user = "postgres", #psycopg2.connect() creates connection to PostgreSQL database instance
password = "battlebot",
host = "127.0.0.1",
port = "5432",
database = "BRE_2019")
cursor = connection.cursor() #creates a cursor object which allows us to execute PostgreSQL commands through python source
#Print PostgreSQL version
cursor.execute("""SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public'""")
for table in cursor.fetchall():
print(table)
The results look like this :
('geography_columns',)
('geometry_columns',)
('spatial_ref_sys',)
('raster_columns',)
('raster_overviews',)
('nc_avery_parcels_poly',)
('Zone5e',)
('AllResidential2019',)
#....etc....
The table I am interested in is the last one, 'AllResidential2019'
So I try to connect to it and print the contents by doing the following:
try:
connection = psycopg2.connect(user = "postgres",
#psycopg2.connect() creates connection to PostgreSQL database instance
password = "battlebot",
host = "127.0.0.1",
port = "5432",
database = "BRE_2019")
cursor = connection.cursor() #creates a cursor object which allows us to execute PostgreSQL commands through python source
cursor.execute("SELECT * FROM AllResidential2019;") #Executes a database operation or query. Execute method takes SQL query as a parameter. Returns list of result
record = cursor.fetchall()
print(record)
except (Exception, psycopg2.Error) as error:
print("Error while connecting to PostgreSQL: ", error)
And I get the following error:
Error while connecting to PostgreSQL: relation "allresidential2019" does not exist
LINE 1: SELECT * FROM AllResidential2019;
However, I can successfully connect and get results when attempting to connect to another table in another database I have (this works! and the results are the data in this table):
try:
connection = psycopg2.connect(user = "postgres", #psycopg2.connect() creates connection to PostgreSQL database instance
password = "battlebot",
host = "127.0.0.1",
port = "5432",
database = "ClimbingWeatherApp") . #different database name
cursor = connection.cursor()
cursor.execute("SELECT * FROM climbing_area_info ;")
record = cursor.fetchall()
print(record)
except (Exception, psycopg2.Error) as error:
print("Error while connecting to PostgreSQL: ", error)
I can't figure out why I can retrieve information from one table but not another, using exactly the same code (except names are changes). And I am also not sure how to troubleshoot this. Can anyone offer suggestions?

Your table name is case-sensitive and you have to close it in double quotes:
SELECT * FROM "AllResidential2019";
In Python program it may look like this:
cursor.execute('SELECT * FROM "AllResidential2019"')
or you can use the specialized module SQL string composition:
from psycopg2 import sql
# ...
cursor.execute(sql.SQL("SELECT * FROM {}").format(sql.Identifier('AllResidential2019')))
Note that case-sensitive Postgres identifiers (i.e. names of a table, column, view, function, etc) unnecessarily complicate simple matters. I would advise you not to use them.

Likely, the reason for your issue is Postgres' quoting rules which adheres to the ANSI SQL standard regarding double quoting identifiers. In your table creation, you likely quoted the table:
CREATE TABLE "AllResidential2019" (
...
)
Due to case sensitivity of at least one capital letter, this requires you to always quote the table when referencing the table. Do remember: single and double quotes have different meanings in SQL as opposed to being mostly interchangeable in Python.
SELECT * FROM "AllResidential2019"
DELETE FROM "AllResidential2019" ...
ALTER TABLE "AllResidential2019" ...
It is often recommended, if your table, column, or other identifier does not contain special characters, spaces, or reserved words, to always use lower case or no quotes:
CREATE TABLE "allresidential2019" (
...
)
CREATE TABLE AllResidential2019 (
...
)
Doing so, any combination of capital letters will work
SELECT * FROM ALLRESIDENTIAL2019
SELECT * FROM aLlrEsIdEnTiAl2019
SELECT * FROM "allresidential2019"
See further readings on the subject:
Omitting the double quote to do query on PostgreSQL
PostgreSQL naming conventions
Postgres Docs - 4.1.1. Identifiers and Key Words
Don’t use double quotes in PostgreSQL
What is the difference between single and double quotes in SQL?

I was facing the same error in Ubuntu. But in my case, I accidentally added the tables to the wrong database, which was in turn owned by the root postgres user instead of the new postgres user that I had created for my flask app.
I'm using a SQL file to create and populate the tables. This is the command that I used to be able to create these tables using a .sql file. This allows you to specify the owner of the tables as well as the database in which they should be created:
sudo -u postgres psql -U my_user -d my_database -f file.sql -h localhost
You will then be prompted for my_users's password.
sudo -u postgres is only necessary if you are running this from a terminal as a the root user. It basically runs the psql ... command as the postgres user.

Related

Psycopg2 does not recognize the DB I want to drop

I tried to write a function to drop database :
def deleteDb(self, dbName: str):
conn = psycopg2.connect(dbname="postgres", user="postgres")
conn.autocommit = True
curs = conn.cursor()
curs.execute("DROP DATABASE {};".format(dbName))
curs.close()
conn.close()
When I try to test it with an existing db :
def test_deleteDb(self):
self.deleteDb("dbTest")
I get this error :
"psycopg2.errors.InvalidCatalogName: database "dbtest" does not exist"
I tried to play with the isolation level, to drop all the connections to the database and to connect directly to the database but it did not work
Remember to put quotes around identifiers that contain upper-case letters:
curs.execute('DROP DATABASE "{}";'.format(dbName))
Note that string substitution into SQL-statements is generally a bad idea beause it is vulnerable to SQL-injection.

Python: cx_Oracle cursor.execute() hangs on UPDATE query

I have looked at similar questions but nothing has worked for me so far
So here it is. I want to update my table through a python script. I'm using the module cx_oracle. I can execute a SELECT query but whenever I try to execute an UPDATE query, my program just hangs (freezes). I realize that I need to use cursor.commit() after cursor.execute() if I am updating a table but my code never gets past cursor.commit(). I have added a code snippet below that I am using to debug.
Any suggestions??
Code
import cx_Oracle
def getConnection():
ip = '127.0.0.1'
port = 1521
service_name = 'ORCLCDB.localdomain'
username = 'username'
password = 'password'
dsn = cx_Oracle.makedsn(ip, port, service_name=service_name) # (CONNECT_DATA=(SERVICE_NAME=ORCLCDB.localdomain)))
return cx_Oracle.connect(username, password, dsn) # connection
def debugging():
con = getConnection()
print(con)
cur = con.cursor()
print('Updating')
cur.execute('UPDATE EMPLOYEE SET LATITUDE = 53.540943 WHERE EMPLOYEEID = 1')
print('committing')
con.commit()
con.close()
print('done')
debugging()
**Here is the corresponding output: **
<cx_Oracle.Connection to username#(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=127.0.0.1)(PORT=1521))(CONNECT_DATA=(SERVICE_NAME=ORCLCDB.localdomain)))>
Updating
Solution
After a bit of poking around, I found the underlying cause! I had made changes to the table using Oracle SQL Developer but had not committed them, when the python script tried to make changes to the table it would freeze up because of this. To avoid the freeze, I committed my changes in oracle sql developer before running the python script and it worked fine!
Do you have any option to look in the database ? I mean , in order to understand whether is a problem of the python program or not, we need to check the v$session in the database to understand whether something is blocked.
select sid, event, last_call_et, status from v$session where sid = xxx
Where xxx is the sid of the session which has connected with python.
By the way, I would choose to commit explicitly after cursor execute
cur.execute('UPDATE EMPLOYEE SET LATITUDE = 53.540943 WHERE EMPLOYEEID = 1')
con.commit()
Hope it helps
Best

Unknown Database Error python mysql

This link contains shows the database I've created in the mysql workbench and the connection I have established in the code but the database is unknown for some reason. Is there a step I've missed?
http://gyazo.com/d995c4da99043da43bfbd057a0a839c7
__author__ = 'avi'
from TwitterSearch import *
import json
twtsearch = TwitterSearch(
consumer_key='PXTUrlRfgC1zSTsAPU9z6EHtD',
consumer_secret='qM9F4FVj1qLFc6f795r96DQPNAJO8hkbWy4PXWYLfQcYyNGY7D',
access_token='2943116292-wVHEjbfjX7OFqaOURBqim5o7Vs6lZyjxsoto8nD',
access_token_secret='CJAppSRY9TZ5cwYTABZhH2YTd0rm5IzBDqPder6v4qLBA'
)
twtsearchorder = TwitterSearchOrder()
twtsearchorder.set_keywords(['iphone6'])
twtsearchorder.set_language('en')
twtsearchorder.set_include_entities(True)
tweet_limit=50
parsed_tweets= {}
table="twtinfo"
import MySQLdb as mdb
con = mdb.connect('localhost', 'root','root','tweetinfo')
cur=con.cursor()
for tweet in twtsearch.search_tweets_iterable(twtsearchorder):
if tweet_limit > 0 :
parsed_tweets['name'] = tweet['user']['screen_name']
parsed_tweets['content'] = tweet['text']
parsed_tweets['user_id'] = tweet['user']['id']
parsed_tweets['fav_count'] = tweet['favorite_count']
parsed_tweets['location'] = tweet['user']['location']
parsed_tweets['retweet_count'] = tweet['retweet_count']
placeholders= ', '.join(['%s'] *len(parsed_tweets))
columns = ', '.join(parsed_tweets.keys())
sql="INSERT into %s ( %s ) VALUES ( %s )" % (table, columns, placeholders)
cur.execute(sql,parsed_tweets.values())
tweet_limit -= 1
The MySQL process is complaining about the database you are trying to access, namely tweetinfo isn't existing. MySQL error 1049 is usually an indication of having to forgot to select a database, but you did as forth argument to mdb.connect()
Possible errors could be:
That you have several MySQL processes running, with the one with the proper database not being on the default MySQL port.
That somehow your database GUI application hasn't actually submitted your database and table to the MySQL process.
That MySQL isn't running? You would probably get a different error message for that, but it could be an idea to make sure it is just in case.
Just to check if your tables exists and that your database is in place, open a terminal and write the following commands:
mysql -u root -proot
use tweetinfo;
show create table twtinfo;
Another thing to try could be to ask the MySQL process about which database it thinks you are using. Try adding something like the following to your code:
cur.execute("SELECT DATABASE() FROM DUAL;")
print("Database is: %s.", cur.fetchone()[0])
I'm not a python programmer, so I'm not entirely confident that will work without some adjustments.
If none of this gave you a good lead, I'm not quite sure what's wrong.

create a database using pyodbc

I am trying to create a database using pyodbc, however, I cannot find it seems to be paradox as the pyodbc needs to connect to a database first, and the new database is created within the linked one. Please correct me if I am wrong.
In my case, I used following code to create a new database
conn = pyodbc.connect("driver={SQL Server};server= serverName; database=databaseName; trusted_connection=true")
cursor = conn.cursor()
sqlcommand = """
CREATE DATABASE ['+ #IndexDBName +'] ON PRIMARY
( NAME = N'''+ #IndexDBName+''', FILENAME = N''' + #mdfFileName + ''' , SIZE = 4000KB , MAXSIZE = UNLIMITED, FILEGROWTH = 1024KB )
LOG ON
( NAME = N'''+ #IndexDBName+'_log'', FILENAME = N''' + #ldfFileName + ''' , SIZE = 1024KB , MAXSIZE = 100GB , FILEGROWTH = 10%)'
"""
cursor.execute(sqlcommand)
cursor.commit()
conn.commit()
The above code works without errors, however, there is no database created.
So how can I create a database using pyodbc?
Thanks a lot.
If you try to create a database with the default autocommit value for the connection, you should receive an error like the following. If you're not seeing this error message, try updating the SQL Server native client for a more descriptive message:
pyodbc.ProgrammingError: ('42000', '[42000] [Microsoft][SQL Server Native Client 11.0]
[SQL Server]CREATE DATABASE statement not allowed within multi-statement transaction.
(226) (SQLExecDirectW)')
Turn on autocommit for the connection to resolve:
conn = pyodbc.connect("driver={SQL Server};server=serverName; database=master; trusted_connection=true",
autocommit=True)
Note two things:
autocommit is not part of the connection string, it is a separate keyword passed to the connect function
specify the initial connection database context is the master system database
As an aside, you may want to check the #IndexDBName, #mdfFileName, and #ldfFileName are being appropriately set in your T-SQL. With the code you provided, a database named '+ #IndexDBName +' would be created.
The accepted answer did not work for me but I managed to create a database using the following code on Ubuntu:
conn_str = r"Driver={/opt/microsoft/msodbcsql17/lib64/libmsodbcsql-17.9.so.1.1};" + f"""
Server={server_ip};
UID=sa;
PWD=passwd;
"""
conn = pyodbc.connect(conn_str, autocommit=True)
cursor = conn.cursor()
cursor.execute(f"CREATE DATABASE {db_name}")
Which uses the default "master database" when connecting. You can check if the dataset is created by this query:
SELECT name FROM master.sys.databases

Pyodbc Accessing Multiple Databases on same server

I'm tasked with obtaining data from two MS SQL databases on the same server so i can run a single query that uses info from both databases simultaneously. I am trying to achieve this in python 2.7 with pyodbc 3.0.7. My query would look like this:
Select forcast.WindGust_Forecast, forcast.Forecast_Date, anoSection.SectionName, refTable.WindGust
FROM [EO1D].[dbo].[Dashboard_Forecast] forcast
JOIN [EO1D].[dbo].[Dashboard_AnoSections] anoSection
ON forcast.Section_ID = anoSection.Record_ID
JOIN [EO1D].[dbo].[Dashboard_AnoCircuits] anoCircuits
ON anoSection.Circuit_Number = anoCircuits.Circuit_Number
JOIN [FTSAutoCaller].[dbo].[ReferenceTable] refTable
ON anoCircuits.StationCode = refTable.StationCode
Where refTable.Circuit IS NOT NULL and refTable.StationCode = 'sil'
the typical connection for pyodbc looks like:
cnxn = pyodbc.connect('DRIVER{SQLServer};SERVER=SQLSRV01;DATABASE=DATABASE;UID=USER;PWD=PASSWORD')
Which would only allow access to the database name provided.
how would I go about setting up a connection that allows me access to both databases so this query can be ran. The two database names in my case are EO1D and FTSAutoCaller.
you're overthinking it. If you setup the connection as you did above, and then simply pass the sql along to a cursor it should work.
import pyodbc
conn_string = '<removed>'
conn = pyodbc.connect(conn_string)
cur = conn.cursor()
query = 'select top 10 * from table1 t1 inner join database2..table2 t2 on t1.id = t2.id'
cur.execute(query)
and you are done (tested in my own environment, clearly the connection string and query were different, but it did work.)
The query takes care of its self although I only referenced one of the tables in the connection the query didnt have an issue connecting to both of the database. Not 100% sure but im assuming it worked because of the prefixed in "[ ]"

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