I am trying to load data from SQL server management studio into Stata. How do I get Stata to run the .sql file? I have used the -ado- procedure from another post, but it does not work because my database has a username and password.
Original -ado- code:
program define loadsql
*! Load the output of an SQL file into Stata, version 1.2 (dvmaster#gmail.com)
version 12.1
syntax using/, DSN(string) [CLEAR NOQuote LOWercase SQLshow ALLSTRing DATESTRing]
#delimit;
tempname mysqlfile exec line;
file open `mysqlfile' using `"`using'"', read text;
file read `mysqlfile' `line';
while r(eof)==0 {;
local `exec' `"``exec'' ``line''"';
file read `mysqlfile' `line';
};
file close `mysqlfile';
odbc load, exec(`"``exec''"') dsn(`"`dsn'"') `clear' `noquote' `lowercase' `sqlshow' `allstring' `datestring';
end;
help odbc discusses connect_options for connecting to odbc data sources. Two of which are u(userId) and p(password) which can be added to the original code written by #Dimitriy V. Masterov (see post here).
I believe you should be able to connect using SQL Server authentication by adding the u(string) and p(string) as additional options following syntax in the ado file, and then again down below following
odbc load, exec(`"``exec''"') dsn(`"`dsn'"')
This would also require that you pass these arguments to the program when you call it:
loadsql using "./sqlfile.sql", dsn("mysqlodbcdata") u(userId) p(Password)
I am totally new in oracle world and need help.
I installed oracle free version OracleXE112_Win64 and has got a dump file that I need to import.
Is there anyone who can guide me how to do it?
Thank's
Can someone tell me what happens here when I import the dump file. I get the following:
Username: system
Password:
Connected to: Oracle Database 11g Express Edition Release 11.2.0.2.0 - Production Import data only (yes/no): no > yes
Import file: EXPDAT.DMP > C:\Buildings22.dmp
Enter insert buffer size (minimum is 8192) 30720> 30720
Export file created by EXPORT:V11.01.00 via conventional path
Warning: the objects were exported by Buildings22, not by you
import done in WE8MSWIN1252 character set and AL16UTF16 NCHAR character set
import server uses AL32UTF8 character set (possible charset conversion)
List contents of import file only (yes/no): no > yes
IMP-00402: Invalid parameter "SHOW" with data_only mode
IMP-00000: Import terminated unsuccessfully
How can I check if I import a dump file?
How can I display the content of dump file, tables in Oracle SQL Developer?
I apologize for the issues, but I really brand new in oracle?
I create my database with the following command:
db2 create database kixfs using codeset UTF-8 territory AT
My insert scripts (DMLs) are ecoded in UTF-8.
Example insert statement from resources.dml:
INSERT INTO RESOURCES (RESOURCEKEY, LANGUAGE, CATEGORY, RESOURCEVALUE) VALUES ('XXXX', 'de', 'action', 'Funktion "Gerätemodell erfassen" erfolgreich ausgeführt.');
If i check the table content after creation:
Fehler bei der Ausführung der Funktion "Gerätemodell erfassen".
If i check the database configuration everything looks fine: (db2 get db cfg for MY_DB)
Any ideas why the data is read or stored wrong?
Edit:
I execute the insert script via a batchfile from the db2 admin console (CLP):
db2 -t -v -f resources.dml +o -z createTablesViews.log
Could it depend from the encoding of the db2 termminal?? And if yes how do i change it?
We had the same problem. Script, too. The script encoding has to match the server encoding, in our case ANSI. Even if the database is UTF-8. Converting the script file to ANSI did the trick for us.
I want to stop my HSQL DB from command line using command
java -jar hsqldb/lib/sqltool.jar --rcfile=sqltool.rc --sql "shutdown;" localhost-sa-myPassword
This command expects sqlTool.rc file which contains DB related information like user id and password. This RC file contains password in plain text.
Is there any way to hide that password in RC file?
Or is there any way to encrypt this RC file and use it?
Or is it possible to forcibly stop the server without giving id/pwd?
Any other approach is also welcome as long as password is not visible in plain text
Thanks in advance
I got alternative approach for this.
Connection c = DriverManager.getConnection(
"jdbc:hsqldb:file:/opt/db/testdb;shutdown=true", "SA", "");
create the connection as mentioned above.
Then execute sql query as given below
stmt.execute("shutdown");
This will shutdown the HSQL DB
How can I execute whole sql file into database using SQLAlchemy? There can be many different sql queries in the file including begin and commit/rollback.
sqlalchemy.text or sqlalchemy.sql.text
The text construct provides a straightforward method to directly execute .sql files.
from sqlalchemy import create_engine
from sqlalchemy import text
# or from sqlalchemy.sql import text
engine = create_engine('mysql://{USR}:{PWD}#localhost:3306/db', echo=True)
with engine.connect() as con:
with open("src/models/query.sql") as file:
query = text(file.read())
con.execute(query)
SQLAlchemy: Using Textual SQL
text()
I was able to run .sql schema files using pure SQLAlchemy and some string manipulations. It surely isn't an elegant approach, but it works.
# Open the .sql file
sql_file = open('file.sql','r')
# Create an empty command string
sql_command = ''
# Iterate over all lines in the sql file
for line in sql_file:
# Ignore commented lines
if not line.startswith('--') and line.strip('\n'):
# Append line to the command string
sql_command += line.strip('\n')
# If the command string ends with ';', it is a full statement
if sql_command.endswith(';'):
# Try to execute statement and commit it
try:
session.execute(text(sql_command))
session.commit()
# Assert in case of error
except:
print('Ops')
# Finally, clear command string
finally:
sql_command = ''
It iterates over all lines in a .sql file ignoring commented lines.
Then it concatenates lines that form a full statement and tries to execute the statement. You just need a file handler and a session object.
You can do it with SQLalchemy and psycopg2.
file = open(path)
engine = sqlalchemy.create_engine(db_url)
escaped_sql = sqlalchemy.text(file.read())
engine.execute(escaped_sql)
Unfortunately I'm not aware of a good general answer for this. Some dbapi's (psycopg2 for instance) support executing many statements at a time. If the files aren't huge you can just load them into a string and execute them on a connection. For others, I would try to use a command-line client for that db and pipe the data into that using the subprocess module.
If those approaches aren't acceptable, then you'll have to go ahead and implement a small SQL parser that can split the file apart into separate statements. This is really tricky to get 100% correct, as you'll have to factor in database dialect specific literal escaping rules, the charset used, any database configuration options that affect literal parsing (e.g. PostgreSQL standard_conforming_strings).
If you only need to get this 99.9% correct, then some regexp magic should get you most of the way there.
If you are using sqlite3 it has a useful extension to dbapi called conn.executescript(str), I've hooked this up via something like this and it seemed to work: (Not all context is shown but it should be enough to get the drift)
def init_from_script(script):
Base.metadata.drop_all(db_engine)
Base.metadata.create_all(db_engine)
# HACK ALERT: we can do this using sqlite3 low level api, then reopen session.
f = open(script)
script_str = f.read().strip()
global db_session
db_session.close()
import sqlite3
conn = sqlite3.connect(db_file_name)
conn.executescript(script_str)
conn.commit()
db_session = Session()
Is this pure evil I wonder? I looked in vain for a 'pure' sqlalchemy equivalent, perhaps that could be added to the library, something like db_session.execute_script(file_name) ? I'm hoping that db_session will work just fine after all that (ie no need to restart engine) but not sure yet... further research needed (ie do we need to get a new engine or just a session after going behind sqlalchemy's back?)
FYI sqlite3 includes a related routine: sqlite3.complete_statement(sql) if you roll your own parser...
You can access the raw DBAPI connection through this
raw_connection = mySqlAlchemyEngine.raw_connection()
raw_cursor = raw_connection() #get a hold of the proxied DBAPI connection instance
but then it will depend on which dialect/driver you are using which can be referred to through this list.
For pyscog2, you can just do
raw_cursor.execute(open("my_script.sql").read())
but pysqlite you would need to do
raw_cursor.executescript(open("my_script").read())
and in line with that you would need to check the documentation of whichever DBAPI driver you are using to see if multiple statements are allowed in one execute or if you would need to use a helper like executescript which is unique to pysqlite.
Here's how to run the script splitting the statements, and running each statement directly with a "connectionless" execution with the SQLAlchemy Engine. This assumes that each statement ends with a ; and that there's no more than one statement per line.
engine = create_engine(url)
with open('script.sql') as file:
statements = re.split(r';\s*$', file.read(), flags=re.MULTILINE)
for statement in statements:
if statement:
engine.execute(text(statement))
In the current answers, I did not found a solution which works when a combination of these features in the .SQL file is present:
Comments with "--"
Multi-line statements with additional comments after "--"
Function definitions which have multiple SQL-queries ending with ";" butmust be executed as a whole statement
A found a rather simple solution:
# check for /* */
with open(file, 'r') as f:
assert '/*' not in f.read(), 'comments with /* */ not supported in SQL file python interface'
# we check out the SQL file line-by-line into a list of strings (without \n, ...)
with open(file, 'r') as f:
queries = [line.strip() for line in f.readlines()]
# from each line, remove all text which is behind a '--'
def cut_comment(query: str) -> str:
idx = query.find('--')
if idx >= 0:
query = query[:idx]
return query
# join all in a single line code with blank spaces
queries = [cut_comment(q) for q in queries]
sql_command = ' '.join(queries)
# execute in connection (e.g. sqlalchemy)
conn.execute(sql_command)
Code bellow works for me in alembic migrations
from alembic import op
import sqlalchemy as sa
from ekrec.common import get_project_root
def upgrade():
path = f'{get_project_root()}/migrations/versions/fdb8492f75b2_.sql'
op.execute(open(path).read())
I had success with David's answer here, with two slight modifications:
Use get_bind() as I was working with a Session rather than an Engine
Call cursor() on the raw connection
raw_connection = myDbSession.get_bind().raw_connection()
raw_cursor = raw_connection.cursor()
raw_cursor.execute(open("my_script.sql").read())