I have searched for the solution to this problem for a long time, but I haven't got the appropriate method.
Basically All I have is tons of tables, and I want to query value from different tables using raw SQL.
In Django, we need a class representing a table to perform the query, for example:
Routes.objects.raw("SELECT * FROM routes")
In this way, I can only query a table, but what if I want to query different tables based on the user's input?
I'm new to Django, back in ASP.NET we can simply do the following query:
string query = "SELECT * FROM " + county + " ;";
var bus = _context.Database.SqlQuery<keelung>(query).ToList();
Is this case, I can do the query directly on the database instead of the model class, and I can select the table based on the user's selection.
Is there any method to achieve this with Django?
You can run raw queries in Django like this -
From django.db import connection
cursor = connection.cursor()
table = my_table;
cursor.execute("Select * from " + table)
data = cursor.fetchall()
Related
I am using Postman and Netsuite's SuiteQL to query some tables. I would like to write two queries. One is to return all items (fulfillment items) for a given sales order. Two is to return all sales orders that contain a given item. I am not sure what tables to use.
The sales order I can return from something like this.
"q": "SELECT * FROM transaction WHERE Type = 'SalesOrd' and id = '12345'"
The item I can get from this.
"q": "SELECT * FROM item WHERE id = 1122"
I can join transactions and transactionline for the sale order, but no items.
"q": "SELECT * from transactionline tl join transaction t on tl.transaction = t.id where t.id in ('12345')"
The best reference I have found is the Analytics Browser, https://system.netsuite.com/help/helpcenter/en_US/srbrowser/Browser2021_1/analytics/record/transaction.html, but it does not show relationships like an ERD diagram.
What tables do I need to join to say, given this item id 1122, return me all sales orders (transactions) that have this item?
You are looking for TransactionLine.item. That will allow you to query transaction lines whose item is whatever internal id you specify.
{
"q": "SELECT Transaction.ID FROM Transaction INNER JOIN TransactionLine ON TransactionLine.Transaction = Transaction.ID WHERE type = 'SalesOrd' AND TransactionLine.item = 1122"
}
If you are serious about getting all available tables to query take a look at the metadata catalog. It's not technically meant to be used for learning SuiteQL (supposed to make the normal API Calls easier to navigate), but I've found the catalog endpoints are the same as the SuiteQL tables for the most part.
https://{{YOUR_ACCOUNT_ID}}.suitetalk.api.netsuite.com/services/rest/record/v1/metadata-catalog/
Headers:
Accept application/schema+json
You can review all the available records, fields and joins in the Record Catalog page (Customization > Record Catalog).
I wrote a query for one of my Big Query table called historical and I would like to copy the result of this query into a new Big Query table called historical_recent. I have difficulties to figure out how to do this operation with Python. Right now, I am able to execute my query and get the expected result:
SELECT * FROM gcp-sandbox.dailydev.historical WHERE (date BETWEEN '2015-11-05 00:00:00' AND '
2015-11-07 23:00:00')
I am also able to copy a my Big Query table without making any changes with this script:
from google.cloud import bigquery
client = bigquery.Client()
job = client.copy_table(
'gcp-sandbox.dailydev.historical',
'gcp-sandbox.dailydev.historical_copy')
How can I combine both using Python?
You can use INSERT statement as in below example
INSERT `gcp-sandbox.dailydev.historical_recent`
SELECT *
FROM `gcp-sandbox.dailydev.historical`
WHERE date BETWEEN '2015-11-05 00:00:00' AND '2015-11-07 23:00:00'
Using Python to save your query result.
from google.cloud import bigquery
client = bigquery.Client()
# Target table to save results
table_id = "gcp-sandbox.dailydev.historical_recent"
job_config = bigquery.QueryJobConfig(
allow_large_results=True,
destination=table_id,
use_legacy_sql=True
)
sql = """
SELECT * FROM gcp-sandbox.dailydev.historical
WHERE (date BETWEEN '2015-11-05 00:00:00' AND '2015-11-07 23:00:00')
"""
query = client.query(sql, job_config=job_config)
query.result()
print("Query results loaded to the table {}".format(table_id))
This example is based on the Google documentation.
I am very new to sql and intermediate at python. Using sqlite3, how can I get a print() list of of primary and foreign keys (per table) in my database?
Using Python2.7, SQLite3, PyCharm.
sqlite3.version = 2.6.0
sqlite3.sqlite_version = 3.8.11
Also note: when I set up the database, I enabled FKs as such:
conn = sqlite3.connect(db_file)
conn.execute('pragma foreign_keys=ON')
I tried the following:
conn=sqlite3.connect(db_path)
print(conn.execute("PRAGMA table_info"))
print(conn.execute("PRAGMA foreign_key_list"))
Which returned:
<sqlite3.Cursor object at 0x0000000002FCBDC0>
<sqlite3.Cursor object at 0x0000000002FCBDC0>
I also tried the following, which prints nothing (but I think this may be because it's a dummy database with tables and fields but no records):
conn=sqlite3.connect(db_path)
rows = conn.execute('PRAGMA table_info')
for r in rows:
print r
rows2 = conn.execute('PRAGMA foreign_key_list')
for r2 in rows2:
print r2
Unknown or malformed PRAGMA statements are ignored.
The problem with your PRAGMAs is that the table name is missing. You have to get a list of all tables, and then execute those PRAGMAs for each one:
rows = db.execute("SELECT name FROM sqlite_master WHERE type = 'table'")
tables = [row[0] for row in rows]
def sql_identifier(s):
return '"' + s.replace('"', '""') + '"'
for table in tables:
print("table: " + table)
rows = db.execute("PRAGMA table_info({})".format(sql_identifier(table)))
print(rows.fetchall())
rows = db.execute("PRAGMA foreign_key_list({})".format(sql_identifier(table)))
print(rows.fetchall())
SELECT
name
FROM
sqlite_master
WHERE
type ='table' AND
name NOT LIKE 'sqlite_%';
this sql will show all table in database, for eache table run sql PRAGMA table_info(your_table_name);, you can get the primary key of the table.
Those pictures show what sql result like in my database:
first sql result
second sql result
Hi all i have the following code:
tx = session.beginTransaction();
Query query = session.createQuery("UPDATE com.nisid.entities.Payment set amount=:amount,paymentMethod=:method,paymentExpire=:expireDate"
+ "Where paymentId=:payid,actionId=:actionid");
query.setParameter("amount", amount);
query.setParameter("method", method);
query.setParameter("expireDate", expireDate);
query.setParameter("payid", projectId);
query.setParameter("actionid", actionId);
int resutl=query.executeUpdate();
Trying to do an update using HQL but i am getting error: galArgumentException: node to traverse cannot be null!
my table in the DB is called Payment and it has A COMPOSITE KEY ( projectId,actionId)
Could you please help me further???
The concept is that i have a JSP page which retrieves and displayes the results from DB retrieving info from Project Table, Payment Table and Action Table. Project has many to many relationship with Action and i am using Payment Table as the intermetiary table which holds the 2 FK of the other table.
You missed space before where, and replace , to and after where.
Query query = session.createQuery("UPDATE com.nisid.entities.Payment set amount=:amount,paymentMethod=:method,paymentExpire=:expireDate"
+ " Where paymentId=:payid and actionId=:actionid");
I was following the documentation on FullTextSearch in postgresql. I've created a tsvector column and added the information i needed, and finally i've created an index.
Now, to do the search i have to execute a query like this
SELECT *, ts_rank_cd(textsearchable_index_col, query) AS rank
FROM client, plainto_tsquery('famille age') query
WHERE textsearchable_index_col ## query
ORDER BY rank DESC LIMIT 10;
I want to be able to execute this with Django's ORM so i could get the objects. (A little question here: do i need to add the tsvector column to my model?)
My guess is that i should use extra() to change the "where" and "tables" in the queryset
Maybe if i change the query to this, it would be easier:
SELECT * FROM client
WHERE plainto_tsquery('famille age') ## textsearchable_index_col
ORDER BY ts_rank_cd(textsearchable_index_col, plainto_tsquery(text_search)) DESC LIMIT 10
so id' have to do something like:
Client.objects.???.extra(where=[???])
Thxs for your help :)
Another thing, i'm using Django 1.1
Caveat: I'm writing this on a wobbly train, with a headcold, but this should do the trick:
where_statement = """plainto_tsquery('%s') ## textsearchable_index_col
ORDER BY ts_rank_cd(textsearchable_index_col,
plainto_tsquery(%s))
DESC LIMIT 10"""
qs = Client.objects.extra(where=[where_statement],
params=['famille age', 'famille age'])
If you were on Django 1.2 you could just call:
Client.objects.raw("""
SELECT *, ts_rank_cd(textsearchable_index_col, query) AS rank
FROM client, plainto_tsquery('famille age') query
WHERE textsearchable_index_col ## query
ORDER BY rank DESC LIMIT 10;""")