I need to make a search request to Apache Solr similar to MySQL BETWEEN query.
In Solr document I have two fields: "postcode_from" and "postcode_to". This is a range of postal codes for some country region or city.
Only integer numbers!!!
I have a value (for example 1234) which is between "postcode_from" and "postcode_to" and I need to find all records which are pass this criteria.
In MySQL it is solving very easy:
SELECT * FROM `postal_location_network` WHERE 1234 BETWEEN `postcode_from` AND `postcode_to`;
How can I compose a proper query for Solr?
Thank you for help!
I'am not sure what you need but something like that is this what you are expected?
q = postcode_from:[yourValue TO *] AND postcode_to:[* TO yourValue]
Right solution is:
q = postcode_from:[* TO yourValue] AND postcode_to:[yourValue TO *]
Thanks ever
Related
I have this query that I put together in MySQL in my test db and am trying to figure out how to port it over to the SoQL SODA API. Pretty much just trying to get a list of the unique business and associated details.
SELECT DISTINCT
(CAMIS), dba, boro, building, street
FROM
nyc_stuff.restauraunt_inspections
WHERE
BORO = 'BRONX';
This is the base url I'm using:
https://data.cityofnewyork.us/resource/xx67-kt59.json
I'm aware of how to use the clauses, but can't figure out how to add Distinct into the query.
I tired this:
https://data.cityofnewyork.us/resource/xx67-kt59.json?$select=DISTINCT%20(CAMIS)
But no luck...
You can accomplish this by using the $query parameter in SoQL. I would suggest:
https://data.cityofnewyork.us/resource/xx67-kt59.json?$query=SELECT%20distinct%20camis,%20dba,%20boro,%20building,%20street%20WHERE%20boro%20=%20%22BRONX%22
Thanks, Socrata Support
I'm trying to count distinct string values for a fitered set of results in a django query against a mysql database versus the same data in a postgres database. However, I'm getting really confusing results.
In the code below, NewOrder represents queries against the same data in a postgres database, and OldOrder is the same data in a MYSQL instance.
( In the old database, completed orders had status=1, in the new DB complete status = 'Complete'. In both the 'email' field is the same )
OldOrder.objects.filter(status=1).count()
6751
NewOrder.objects.filter(status='Complete').count()
6751
OldOrder.objects.filter(status=1).values('email').distinct().count()
3747
NewOrder.objects.filter(status='Complete').values('email').distinct().count()
3825
print NewOrder.objects.filter(status='Complete').values('email').distinct().query
SELECT DISTINCT "order_order"."email" FROM "order_order" WHERE "order_order"."status" = Complete
print OldSale.objects.filter(status=1).values('email').distinct().query
SELECT DISTINCT "order_order"."email" FROM "order_order" WHERE "order_order"."status" = 1
And here is where it gets really bizarre
new_orders = NewOrder.objects.filter(status='Complete').values_list('email', flat=True)
len(set(new_orders))
3825
old_orders = OldOrder.objects.filter(status=1).values_list('email',flat=True)
len(set(old_orders))
3825
Can anyone explain this discrepancy? And possibly point me as to why results would be different between postgres and mysql? My only guess is a character encoding issue, but I'd expect the results of the python set() to also be different?
Sounds like you're probably using a case-insensitive collation in MySQL. There's no equivalent in PostgreSQL; the closest is the citext data type, but usually you just compare lower(...) of strings, or use ILIKE for pattern matching.
I don't know how to say it in Django, but I'd see if the count of the set of distinct lowercased email addresses is the same as the old DB.
According to the Django docs something like this might work:
NewOrder.objects.filter(status='Complete').values(Lower('email')).distinct()
this should be a asked-before question, I searched but I could not find any answer on that. Sorry if it is duplicated. I have a query lets say:
my_query=session.query(Item).filter(somefilter)
Now, Item has a column, lets say counter, and I want to find the sum of this column of my_query.
I can do that like this:
sum=0
for row in query:
sum+=row.counter
but I don't this this is the efficient way of doing this specially in a large database. I know that this is possible: sqlalchemy simple example of `sum`, `average`, `min`, `max`, but this requires filtering on qry (borrowed from the page) which I have already given the filtered version my_query. I dont know if it is really more efficient to do the filtering again on top of qry v.s. using the for loop on my_query.
I had the same question. I asked on irc.freenode.org#sqlalchemy and inklesspen pointed me to Query#with_entities().
sum = my_query.with_entities(func.sum(Item.counter)).scalar()
There is a whole bunch of SQL "group" functions in sqlalchemy.func:
from sqlalchemy import func
my_query = session.query(func.sum(Item.counter)).filter(somefilter)
I can do this in MySQL:
WHERE 1 AND 1 AND 1
How can i repeat it in MongoDB? What is MongoDB's equivalent for WHERE 1 ?
UPDATE:
So. I don't know how choose best answer ^^ and expanded question. As #mark-hillick noticed - i'm searching the best way to build query.
Now I'm using this way (express+mongoose):
//req.query - get/post object in Express
for (var q in req.query) {
if (req.query[q]) { //simplified example
query[q] = req.query[q];
};
}
Collection.find(query)
Your suggestions?
There is a SQL-MongoDB Mapping Chart here that you will find useful.
It has a tonne of examples on what you do within MongoDB when you want to do the same operation as "WHERE" in MySQL. For example -
SELECT a,b FROM users WHERE age=33
is
db.users.find({age:33}, {a:1,b:1})
or
SELECT * FROM users WHERE a=1 and b=1
is
db.users.find({a:1,b:1})
MongoDB is document oriented database and documents in MongoDB consists key-value pairs. So, in MongoDB you can't run single value query as you did in MySql. Assuming you hold your data in the field name a, similar query in MongoDB could be like :
db.test.find({$and : [{a:1},{a:1}, {a:1}]});
If' you're trying to build query clauses, AND is implicit in Mongo. Therefore, if you have the following;
db.col.find({name:"dave"})
you could just add another;
db.col.find({name:"dave", age:33})
and so on.
I'm using Rails 3 with a MySQL database, and I need to programmatically create a query like this:
select * from table where category_name like '%category_name_1%'
OR category_name like '%category_name_2%'
(...snip...)
OR category_name like '%category_name_n%'
Given the table size and the project scope (500 rows at most, I think), I feel that using something like thinking sphinx would be overkill.
I know I could simply do this by writing the query string directly, but wanted to know if there's an ActiveRecord way to do this. There's no mention of this on the official guide, and I've been googling for a long while now, just to end empty-handed :(
Also, is there a reason (maybe a Rails reason?) to not to include the OR clause?
Thanks!
Assuming you have an array names with category names:
Model.where( names.map{"category_name LIKE ?"}.join(" OR "),
*names.map{|n| "%#{n}%" } )
you should google first, there is already an answer.
Look here and then here
and you'll get something like this:
accounts = Account.arel_table
Account.where(accounts[:name].matches("%#{user_name}%").or(accounts[:name].matches("%#{user_name2}%")))
If you look at the guide, they have examples that can easily be modified to this:
Client.where("orders_count = ? OR locked = ?", params[:orders], false)
Mysql has a regexp function now that can clean things up a bit, assuming there's no regex metachars in your category names:
Table.where "category_name regexp '#{names.join('|')}'"