I want to export all items of type Order, which contain a coupon code named 'TESTCOUPON'. However, when I try to do it, I get this error:
ERROR line 4 at main script: error executing code line at 4 : SQL search error - ORA-00932: inconsistent datatypes: expected - got BLOB
query = 'SELECT item_t0.PK FROM orders item_t0 WHERE ( item_t0.p_appliedcouponcodes = 'TESTCOUPON') AND (item_t0.TypePkString IN (?,?,?) )', values = [8796099149906, 8796099215442, 8796098756690]
I assume from the error that the coupon is stored in a Collection/List - how would I filter by it in this case?
The FlexibleSearch line looks like this:
SELECT {C:PK} FROM {Order as C} WHERE {C:appliedCouponCodes} = 'TESTCOUPON'
I tried using the PK of the coupon code, but it doesn't work either and it presents the same error. I tried using LIKE '%TESTCOUPON%' but then it said 'expected CHAR got BLOB'.
As per the Table structure CouponRedemption having reference of Order
.
so correct query will be as below.
select { o.code },{o.pk},{cr.couponCode} from {Order as o Join CouponRedemption as cr on {cr.order}={o.pk}} where {code}='TESTCOUPON'
Output:
code PK p_couponcode
1050156308 9499773075501 BUY4
1044303645 9499775172653 BUY4
1042057811 9499796897837 BUY4
1049853832 9499798863917 BUY4
Related
I'm trying to get a DecimalField in Django from the database by using the ORM, so I can populate a field on my form. I'd like to do something like this: SELECT trainer_price FROM Trainer WHERE id=3).
I'm getting this error: Unsupported lookup 'id' for DecimalField or join on the field not permitted. and can't figure out why my query is not working.
This is what I've tried:
price = Trainer.objects.filter(trainer_price__id=3)
price = Trainer.objects.filter(trainer_price__pk=3)
I've also referenced this StackOverflow article: How to filter GTE, LTE on Float or Decimal via Django ORM
But am still getting the error mentioned above.
Here's my full code for my views.py:
def train(request):
trainer_form = Trainer(request.POST)
price = Trainer.objects.filter(trainer_price__id=3)
context = {'trainer_form':trainer_form, 'price':price}
return render(request, "register/trainer_form.html", context)
Any ideas on what I'm doing wrong? Any help would be great!
You are making an incorrect Django query.To filter out row where id = 3 and selecting column trainer_price, your query should be like this:
price = Trainer.objects.filter(id=3).values('trainer_price')
I have two DAC's POReceipt, and and POReceiptLine. POReceiptLine containts a field called MfrPartNbr.
I want the user to be able to lookup all the POReceipts where the POReceiptLine.MfrPartNbr is equal to an entered value.
The SQL would be
SELECT *
FROM dbo.POReceipt
WHERE POReceipt.ReceiptNbr IN
(
SELECT ReceiptNbr
FROM dbo.POReceiptLine
WHERE MfrPartNbr = 'MY_ENTERED_PART_NBR'
)
Any idea how to write the BQL Statement for this?
As stated, an inner join won't work in this case because you will receive the same POReceipt multiple times (once for each POReceiptLine). The following BQL query shows how you can get the desired results using a sub query. If mfrPartNbr is an extension field, then replace POReceiptLine.mfrPartNbr with the correct extension name (e.g. POReceiptLineExtension.mfrPartNbr).
PXSelect<POReceipt, Where<Exists<
Select<POReceiptLine,
Where<POReceiptLine.receiptNbr, Equal<POReceipt.receiptNbr>,
And<POReceiptLine.mfrPartNbr, Equal<Required<POReceiptLine.mfrPartNbr>>>>>>>>.Select(this, "MY_ENTERED_PART_NBR");
I have a nested field named items.productName wherein I want to check if the product name contains a particular string.
SELECT * FROM test WHERE hasAny(items.productName,['Samsung'])
This works only when the product name is Samsung.
I have tried array join
SELECT
*
FROM test
ARRAY JOIN items
WHERE items.productName LIKE '%Samsung%'
This works but it is very slow (~1 sec for 5 million records)
Is there a way to perform like within hasAny?
You can achieve this using arrayFilter function. ClickHouse docs
Query
Select * from test where arrayFilter(x -> x LIKE '%Samsung%', items.productName) != []
If you do not use != [] then you will get an error "DB::Exception: Illegal type Array(String) of column for filter. Must be UInt8 or Nullable(UInt8) or Const variants of them."
I'm trying the standard SELECT ... AS call to rename a column in query output with the Python Salesforce API and it's throwing following error:
... unexpected token: 'AS'", 'errorCode': 'MALFORMED_QUERY'}
So far most native language calls from SOQL have been working in the API and it seems, from here, that SELECT ... AS is valid SOQL.
Query outline:
from simple_salesforce import Salesforce
sf = Salesforce(username=myusername, password=mypassword, security_token=mytoken)
query = "select closedate as Date from opportunity"
query_list = sf.query_all(query)['records']
edit
error remains even after putting the new column name within quotes as advised in above link:
query = "select closedate as \"Date\" from Opportunity"
Thanks
As Terminus mentioned, SOQL field aliasing is not possible in SOQL in most contexts, including yours. The only case in which I have seen aliasing working in SOQL is in aggregate queries. For example, in apex you could write:
AggregateResult myResult = [SELECT count(Id) SpecialName FROM Contact];
system.debug(myResult);
and receive the result:
DEBUG|AggregateResult:{SpecialName=1630}
In python via simple-salesforce it would look like this:
sf.query_all('SELECT count(Id) SpecialName FROM Contact')
with the result:
OrderedDict([('totalSize', 1),
('done', True),
('records',
[OrderedDict([('attributes',
OrderedDict([('type', 'AggregateResult')])),
('SpecialName', 6587)])])])
Please mark as answered if this answer your question.
The syntax seems to be incorrect.
Try query = "select closedate <insert alias> from Opportunity" according to the alias notation documented here : https://developer.salesforce.com/docs/atlas.en-us.soql_sosl.meta/soql_sosl/sforce_api_calls_soql_alias.htm
I've got a problem that I don't know how to solve, I've tried many solutions but always getting that Operational error: near...
def insert_medicine_to_table():
con = sqlite3.connect('med_db3.db')
cur = con.cursor()
table_name = 'medicines'
column_name = "présentation"
value = 'Boîte de 2 seringues pré-remplies'
cur.execute("INSERT INTO medicines {} VALUES (?)".format(column_name), value)
con.commit()
con.close()
sqlite3.OperationalError: near "présentation": syntax error
The goal here is that either the script or python has to recognize the field (column name) and insert the value into "that" field, like the following:
fields = ['présentation', 'princeps', 'distributeur_ou_fabriquant', 'composition', 'famille', 'code_atc', 'ppv', 'prix_hospitalier', 'remboursement', 'base_de_remboursement__ppv', 'nature_du_produit']
values = ['Boîte de 2 seringues pré-remplies', 'Oui', 'SANOFI', 'Héparine', 'Anticoagulant héparinique', 'B01AB01', '43.80', '27.40', 'Oui', '43.80', 'Médicament']
That is one entry in the database. The problem here is that other entries can or not have one or more values for some field, and also the fields are not presented in the same order in other entries.
It has to recognize each field in the database table and insert each value into the right column.
The problem causing your error is that your SQL isn't valid. The statement you are trying to execute is:
INSERT INTO medicines présentation VALUES (?)
The statement you want to execute is:
INSERT INTO medicines ("présentation") VALUES (?)
As far as your larger question is concerned, if you create both the list of columns ("présentation") and list of parameter markers (?) and build the query using them, you're most of the way there.
If a field can have multiple values supplied for each "entry" in your database, you may need to change your database design to handle that. You'll at least need to figure out how you want to handle the situation, but that would be a matter for a different question.