I have done the following code and I would like to ask the user to input how many new records want and after to fill column by column those records.
import MySQLdb
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="root",
passwd="Adam!977",
database="testdb1"
)
cur = mydb.cursor()
get_tables_statement = """SHOW TABLES"""
cur.execute(get_tables_statement)
tables = cur.fetchall()
table = tables(gene)
x=input("How many records you desire: ")
x
print "Please enter the data you would like to insert into table %s" %(table)
columns = []
values = []
for j in xrange(0, len(gene)):
column = gene[j][0]
value = raw_input("Value to insert for column '%s'?"%(gene[j][0]))
columns.append(str(column))
values.append('"' + str(value) + '"')
columns = ','.join(columns)
values = ','.join(values)
print columns
print values
The error that i get is about table gene( The table exist in db of SQL)
Traceback (most recent call last):
File "C:\Users\Admin\Desktop\π.py", line 25, in
table = tables(gene)
NameError: name 'gene' is not defined
Also, even I don't know if working properly the code. Please, I need help. Thank you
The error being returned by python is down to the lack of definition of a variable gene. In the following line you reference gene, without it existing:
table = tables(gene)
In the documentation for the python mysql connector, under cursor.fetchall() you'll notice that this method returns either a list of tuples or an empty list. It is therefore somewhat puzzling why you call tables as a function and attempt to pass a parameter to it - this is not correct syntax for accessing a list, or a tuple.
At the beginning of your code example you fetch a list of all of the tables in your database, despite knowing that you only want to update a specific table. It would make more sense to simply reference the name of the table in your SQL query, rather than querying all of the tables that exist and then in python selecting one. For example, the following query would give you 10 records from the table 'gene':
SELECT * FROM gene LIMIT 10
Below is an attempt to correct your code:
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="root",
passwd="Adam!977",
database="testdb1"
)
x=input("How many records you desire: ")
cur = mydb.cursor()
get_rows_statement = """SELECT * FROM gene"""
cur.execute(get_rows_statement)
results = cur.fetchall()
This should give you all of the rows within the table.
Related
I want to put the result of each column of the result of my request and store them into separate variables, so I can exploit its results.
I precise this is with a SELECt * and not separate requests.
So, If I do for example:
with connection.cursor() as cursor:
# Read a single record
sql = 'SELECT * FROM table'
cursor.execute(sql)
result = cursor.fetchall()
print(result)
I want to do :
a = [results from column1]
b = [results from column2]
The results should be turned into a row and not be left as a column, to make it a dictionary.
It's probably very simple but I'm new with Python / SQL, thank you.
I have a GUI interacting with my database, and MySQL database has around 50 tables. I need to search each table for a value and return the field and key of the item in each table if it is found. I would like to search for partial matches. ex.( Search Value = "test", "Protest", "Test123" would be matches. Here is my attempt.
def searchdatabase(self, event):
print('Searching...')
self.connect_mysql() #Function to connect to database
d_tables = []
results_list = [] # I will store results here
s_string = "test" #Value I am searching
self.cursor.execute("USE db") # select the database
self.cursor.execute("SHOW TABLES")
for (table_name,) in self.cursor:
d_tables.append(table_name)
#Loop through tables list, get column name, and check if value is in the column
for table in d_tables:
#Get the columns
self.cursor.execute(f"SELECT * FROM `{table}` WHERE 1=0")
field_names = [i[0] for i in self.cursor.description]
#Find Value
for f_name in field_names:
print("RESULTS:", self.cursor.execute(f"SELECT * FROM `{table}` WHERE {f_name} LIKE {s_string}"))
print(table)
I get an error on print("RESULTS:", self.cursor.execute(f"SELECT * FROM `{table}` WHERE {f_name} LIKE {s_string}"))
Exception: (1054, "Unknown column 'test' in 'where clause'")
I use a similar insert query that works fine so I am not understanding what the issue is.
ex. insert_query = (f"INSERT INTO `{source_tbl}` ({query_columns}) VALUES ({query_placeholders})")
May be because of single quote you have missed while checking for some columns.
TRY :
print("RESULTS:", self.cursor.execute(f"SELECT * FROM `{table}` WHERE '{f_name}' LIKE '{s_string}'"))
Have a look -> here
Don’t insert user-provided data into SQL queries like this. It is begging for SQL injection attacks. Your database library will have a way of sending parameters to queries. Use that.
The whole design is fishy. Normally, there should be no need to look for a string across several columns of 50 different tables. Admittedly, sometimes you end up in these situations because of reasons outside your control.
I have a sqlite database named StudentDB which has 3 columns Roll number, Name, Marks. Now I want to fetch only the columns that user selects in the IDE. User can select one column or two or all the three. How can I alter the query accordingly using Python?
I tried:
import sqlite3
sel={"Roll Number":12}
query = 'select * from StudentDB Where({seq})'.format(seq=','.join(['?']*len(sel))),[i for k,i in sel.items()]
con = sqlite3.connect(database)
cur = con.cursor()
cur.execute(query)
all_data = cur.fetchall()
all_data
I am getting:
operation parameter must be str
You should control the text of the query. The where clause shall allways be in the form WHERE colname=value [AND colname2=...] or (better) WHERE colname=? [AND ...] if you want to build a parameterized query.
So you want:
query = 'select * from StudentDB Where ' + ' AND '.join('"{}"=?'.format(col)
for col in sel.keys())
...
cur.execute(query, tuple(sel.values()))
In your code, the query is now a tuple instead of str and that is why the error.
I assume you want to execute a query like below -
select * from StudentDB Where "Roll number"=?
Then you can change the sql query like this (assuming you want and and not or) -
query = "select * from StudentDB Where {seq}".format(seq=" and ".join('"{}"=?'.format(k) for k in sel.keys()))
and execute the query like -
cur.execute(query, tuple(sel.values()))
Please make sure in your code the provided database is defined and contains the database name and studentDB is indeed the table name and not database name.
I am pulling data from a MSSQL db using pyodbc which returns my data set in a list. This data then needs to be transferred into a MySQL db. I have written the following stored procedure in MySQL.
CREATE DEFINER=`root`#`localhost` PROCEDURE `sp_int_pmt`(
IN pmtamt DECIMAL(16,10),
IN pmtdt DATETIME,
IN propmtref VARCHAR(128),
IN rtdinv_id INT(11)
)
BEGIN
INSERT INTO ay_financials.payment
(
pmtamt,
pmtdt,
propmtref,
rtdinv_id
)
VALUES
(
pmtamt,
pmtdt,
propmtref,
rtdinv_id
);
END
The procedure works fine if I am inserting one record at the time. So, for now, I am iterating over the list from my MSSQL query and call the procedure for each record. I am using this code:
cursor = cnxn.cursor()
cursor.execute(""" SELECT *
FROM [%s].[dbo].[pmt]
WHERE pmtdt BETWEEN '2018-01-01' AND '2018-12-31'""" %(database))
a = cursor.fetchmany(25)
cnxn.close()
import pymysql
# MySQL configurations
un = 'ssssssss'
pw = '****************'
db = 'ay_fnls'
h = '100.100.100.100'
conn = pymysql.connect(host=h, user=un, password=pw, db=db, cursorclass=pymysql.cursors.DictCursor)
cur = conn.cursor()
for ay in a:
cur.callproc('sp_int_pmt',(ay.pmtamt,ay.pmtdt,ay.propmtref,ay.rtdinv_id))
conn.commit()
The problem I will have in production is this list will contain 10,000-100,000 every day. Iterating over that data doesn't seem like an optimized way to handle this.
How can I use the full list from the MSSQL query, call the MySQL procedure one time and insert all the relevant data?
How can I use the full list from the MSSQL query, call the MySQL procedure one time and insert all the relevant data?
You can't do that with your stored procedure as written. It will only insert one row at a time, so to insert n rows you would have to call it n times.
Also, as far as I know you can't modify the stored procedure to insert n rows without using a temporary table or some other workaround because MySQL does not support table-valued parameters to stored procedures.
You can, however, insert multiple rows at once if you use a regular INSERT statement and .executemany. pymysql will bundle the inserts into one or more multi-row inserts
mssql_crsr = mssql_cnxn.cursor()
mssql_stmt = """\
SELECT 1 AS id, N'Alfa' AS txt
UNION ALL
SELECT 2 AS id, N'Bravo' AS txt
UNION ALL
SELECT 3 AS id, N'Charlie' AS txt
"""
mssql_crsr.execute(mssql_stmt)
mssql_rows = []
while True:
row = mssql_crsr.fetchone()
if row:
mssql_rows.append(tuple(row))
else:
break
mysql_cnxn = pymysql.connect(host='localhost', port=3307,
user='root', password='_whatever_',
db='mydb', autocommit=True)
mysql_crsr = mysql_cnxn.cursor()
mysql_stmt = "INSERT INTO stuff (id, txt) VALUES (%s, %s)"
mysql_crsr.executemany(mysql_stmt, mssql_rows)
The above code produces the following in the MySQL general_log
190430 10:00:53 4 Connect root#localhost on mydb
4 Query INSERT INTO stuff (id, txt) VALUES (1, 'Alfa'),(2, 'Bravo'),(3, 'Charlie')
4 Quit
Note that pymysql cannot bundle calls to a stored procedure in the same way, so if you were to use
mysql_stmt = "CALL stuff_one(%s, %s)"
instead of a regular INSERT then the general_log would contain
190430 9:47:10 3 Connect root#localhost on mydb
3 Query CALL stuff_one(1, 'Alfa')
3 Query CALL stuff_one(2, 'Bravo')
3 Query CALL stuff_one(3, 'Charlie')
3 Quit
This is my R piece of code but i want to do the same thing in python, as i am new in it having problems to write the correct code can anybody guide me how to write this is python. I have already made connections of database and also tried simple queries but here i am struggling
sql_command <- "SELECT COUNT(DISTINCT Id) FROM \"Bowlers\";"
total<-as.numeric(dbGetQuery(con, sql_command))
data<-setNames(data.frame(matrix(ncol=8,
nrow=total)),c("Name","Wkts","Ave","Econ","SR","WicketTaker","totalovers",
"Matches"))
for (i in 1:total){
sql_command <- paste("SELECT * FROM \"Bowlers\" where Id = ", i ,";",
sep="")
p<-dbGetQuery(con, sql_command)
p[is.na(p)] <- 0
data$Name[i] = p$bowler[1]
}
after this which works fine how should i proceed to write the loop code:
with engine.connect() as con:
rs=con.execute('SELECT COUNT(DISTINCT id) FROM "Bowlers"')
for row in rs:
print (row)
Use the format method for strings in python to achieve it.
I am using postgresql, but your connection should be similar. Something like:
connect to test database:
import psycopg2
con = psycopg2.connect("dbname='test' user='your_user' host='your_host' password='your_password'")
cur = con.cursor() # cursor method may differ for your connection
loop over your id's:
for i in range(1,total+1):
sql_command = 'SELECT * FROM "Bowlers" WHERE id = {}'.format(i)
cur.execute(sql_command) # execute and fetchall method may differ
rows = cur.fetchall() # check for your connection
print ("output first row for id = {}".format(i))
print (rows[0]) # sanity check, printing first row for ids
print('\n') # rows is a list of tuples
# you can convert them into numpy arrays