This is my MYSQL query:
SELECT country, vaccines, MAX(people_fully_vaccinated_per_hundred) as vaccinated_precentage
FROM country_vaccinations
WHERE people_fully_vaccinated_per_hundred > 60
GROUP BY country, vaccines
ORDER BY MAX(people_fully_vaccinated_per_hundred) DESC;
It basically lists all countries that have fully vaccinated more than 60% of its people, and the types of vaccine offered by that country.
I am trying to do the same on MongoDB:
db.country_vaccinations.aggregate([
{$project: {_id:0,
country: 1,
vaccines: 1,
people_fully_vaccinated_per_hundred: 1},
}
{$match: {"people_fully_vaccinated_per_hundred":{$gt:60}}}
])
However, I am not sure why it returns "No Records Found" when i add in the $match to retrieve rows that have "people_fully_vaccinated_per_hundred">60%.
Can someone advise me on what is my mistake? I would really appreciate it, as I am new to noSQL and am not sure why.
I am not sure it does the same, test it before using it, and if doesn't work, give us if you can some sample data and the expected output so we can test it.
country_vaccinations.aggregate(
[{"$match": {"people_fully_vaccinated_per_hundred": {"$gt": 60}}},
{"$group":
{"_id": {"country": "$country", "vaccines": "$vaccines"},
"vaccinated_precentage": {"$max": "$people_fully_vaccinated_per_hundred"}}},
{"$sort": {"vaccinated_precentage": -1}},
{"$project":
{"_id": 0,
"country": "$_id.country",
"vaccines": "$_id.vaccines",
"vaccinated_precentage": 1}}])
Related
While using BigQuery's Console, we were instructed to input some data.
The following example was used for guidance
SELECT * FROM `bigquery-public-data.new_york_citibike.citibike_trips`
Afterward, I ran the query as instructed and removed the LIMIT clause.
The [JSON] results produced this information ...
[{
"tripduration": "2083",
"starttime": "2016-04-18T13:02:24",
"stoptime": "2016-04-18T13:37:08",
"start_station_id": "417",
"start_station_name": "Barclay St \\u0026 Church St",
"start_station_latitude": "40.71291224",
"start_station_longitude": "-74.01020234",
"end_station_id": "309",
"end_station_name": "Murray St \\u0026 West St",
"end_station_latitude": "40.7149787",
"end_station_longitude": "-74.013012",
"bikeid": "23641",
"usertype": "Subscriber",
"birth_year": "1945",
"gender": "male",
"customer_plan": ""
},]
Some of the results were deleted (TRIM).
I attempted to locate the longest ride on the citibikes and the shortest ride as well. (In terms of distance).
I didn't calibrate the information correctly. Therefore, I didn't receive any response for this calculation.
[JSON] is a query result-based language, will it create the same response each time it's used for public datasets?
An SQL table schema,
time, country, activer_users
If I just want to show the total number of active users over time, Below simple slect wil do that
SELECT time, sum(active_users) as activer_users GROUP BY time ORDER BY time
returned data will be like,
[{
"time": 1585878969,
"active_users": 2300
},....]
If I want active_users over time by country, then
SELECT time, country, sum(active_users) as activer_users GROUP BY time ORDER BY time, country
returned data will be like,
[{
"time": 1585878969,
"active_users": 1300,
"country": "India"
}, {
"time": 1585878969,
"active_users": 1000,
"country": "China"
}....]
I want data in the below format,
[{
"time": 1585878969,
"India": 1300,
"China": "1000"
}....]
Is this possible, to create dynamic columns from the value of a field and its value based on another field..
if suchthing is possible, what should be the query for that
Other helpful users may correct me, but I think is not possible altering MySQL responses like this. MySQL always responds in a COLUMN-VALUE way, so you would have to create a column e.g. "China" and store this data in there to get a native response like this.
I have a Postgres statement that returns extracts/iterates over a json blob in the value column of a table. I am able to get a count one level deep using the query below but I can't count any deeper. I was using:
select jsonb_array_length(value -> 'team') as team_count
This returns the proper count but I cant seem to leverage this to count the names under each team.
In a perfect world I would my results to return 4 lines of results like this(title and a matching count of names):
Product Owner, 2
Technical Product Manager, 2
Data Modeler, 0
Engineer, 0
How would I go about amending this query to give me the count of names under team? I tried all sorts of stuff but nothing that got me close.
Sample Json is below.
"team":[
{
"title":"Product Owner",
"names":[
"John Smith",
"Jane Doe"
]
},
{
"title":"Technical Project Manager",
"names":[
"Fred Flintstone",
"Barney Rubble"
]
},
{
"title":"Data Modeler"
},
{
"title":"Engineer"
}
You seem to be looking for
SELECT
role -> 'title' AS team_role,
jsonb_array_length(role -> 'names') AS member_count
FROM jsonb_array_elements(value -> 'team') AS team(role)
I have these 2 queries on my Laravel project:
$questions = \App\Answer::rightJoin('questions','answers.id_question','=','questions.id_question')
->leftJoin('users','answers.id_user','=','users.id')->where([
['questions.id_question', '=', $id_question],
['questions.flg_active', '=', true],
])->orderBy('questions.created_at', 'desc')->paginate(5);
and
$questions = \App\Answer::with('question.user')
->orderBy('created_at', 'desc')->paginate(15);
Essencially the first on returns questions not yet answered and the second only returns questions already answered.
I`m trying to use the same blade view for both, but they have different JSON output structure.
The first one returns an one level JSON, while the second returns 3 levels of data.
"data": [{
"id_answer": 42,
"created_at": "2018-11-28 17:52:18",
"updated_at": "2019-05-24 15:09:14",
"id_user": 2,
"id_question": 42,
"str_answer": "onono onooono nonono onn ",
"str_question": "ononon ononon onononn ?",
"url_link": null,
"flg_active": 1,
"id": 1,
"name": "Paul",
"surname": null,
"email": "p#yahoo.com",
"certification": "CFA ...",
"about": "CS, ....."
}
and:
"data": [{
"id_answer": 64,
"created_at": "2019-05-16 15:46:54",
"updated_at": "2019-05-16 15:46:54",
"id_user": 2,
"id_question": 98,
"str_answer": "onono non ooonononn",
"question": {
"id_question": 98,
"created_at": "2019-05-16 15:06:31",
"updated_at": "2019-05-16 15:24:43",
"id_user": 2,
"str_question": "onono onnon ononon?",
"url_link": null,
"flg_active": 1,
"user": {
"id": 2,
"name": "Paul",
"surname": null,
"email": "p#outlook.com",
"created_at": "2018-12-06 05:50:09",
"updated_at": "2019-05-24 11:23:32",
"certification": null,
"about": null
}
}
}
How can I make the first one return in the same 3 levels as the second query does ?
Why this occurs?
The first one is leveraging query builder more and will execute one query which will look something like this:
SELECT * FROM answer
RIGHT JOIN questions ON answers.id_question = questions.id_question
LEFT JOIN users ON answers.id_user = users.id
WHERE questions.id_question = $id_question
AND questions.flg_active = true
ORDER BY questions.created_at desc
OFFSET 0
LIMIT 15
This query returns data from all the tables exactly how sql calculates it. Laravel / Eloquent has no idea how to reliably put this into an eloquent format.
The 2nd one will execute 3 queries which will look something like this:
SELECT * FROM answer
ORDER BY created_at desc
OFFSET 0
LIMIT 15
SELECT * FROM question
WHERE answer_Id IN ($answer_ids) // Will be like (1, 5, 6, 7). All the ids retrieve from the first query
SELECT * FROM user
WHERE queston_id IN ($user_ids)
Eloquent does 3 queries therefore it can create the structure you outlined reliably.
Ultimately it's a trade off, the first option is faster but the response is harder to work with in php which creates less readable code.
I recommend you look at the queries that are executed by each by using the built in query log.
\DB::enableQueryLog();
$builtQuery->get()
dd(\DB::getQueryLog());
This occurs because in your second query you utilize eager loading for your Eloquent relationships. Eloquent model's default toArray() method merges both it's attributes and loaded relationships into one representation.
On the other hand, your first query joins tables, but doesn't load any relationships. So the most straight-forward way you can go about this is to eager load those relationships in your first query just as you do in your second one:
$questions = \App\Answer::with('questions.user')
->rightJoin('questions','answers.id_question','=','questions.id_question')
->leftJoin('users','answers.id_user','=','users.id')->where([
['questions.id_question', '=', $id_question],
['questions.flg_active', '=', true],
])->orderBy('questions.created_at', 'desc')->paginate(5);
Note that this will produce extra SELECT ... WHERE id IN (...) queries for both Question and User models to be eager loaded into their respective relationships.
I'm fairly new to couchbase and have tried to find the answer to a particular query I'm trying to create with not much success so far.
I've debated between using a view or N1QL for this particular case and settled with N1QL but haven't managed to get it to work so maybe a view is better after all.
Basically I have the document key (Group_1) for the following document:
Group_1
{
"cbType": "group",
"ID": 1,
"Name": "Group Atlas 3",
"StoreList": [
2,
4,
6
]
}
I also have 'store' documents, their keys are listed in this document's storelist. (Store_2, Store_4, Store_6 and they have a storeID value that is 2, 4 and 6) I basically want to obtain all 3 documents listed.
What I do have that works is I obtain this document with its id by doing:
var result = CouchbaseManager.Bucket.Get<dynamic>(couchbaseKey);
mygroup = JsonConvert.DeserializeObject<Group> (result.ToString());
I can then loop through it's storelist and obtain all it's stores in the same manner, but i don't need anything else from the group, all i want are the stores and would have prefered to do this in a single operation.
Does anyone know how to do a N1QL directly unto a specified document value?
Something like (and this is total imaginary non working code I'm just trying to clearly illustrate what I'm trying to get at):
SELECT * FROM mycouchbase WHERE documentkey IN
Group_1.StoreList
Thanks
UPDATE:
So Nic's solution does not work;
This is the closest I get to what I need atm:
SELECT b from DataBoard c USE KEYS ["Group_X"] UNNEST c.StoreList b;
"results":[{"b":2},{"b":4},{"b":6}]
Which returns the list of IDs of the Stores I want for any given group (Group_X) - I haven't found a way to get the full Stores instead of just the ID in the same statement yet.
Once I have, I'll post the full solution as well as all the speed bumps I've encountered in the process.
I apologize if I have a misunderstanding of your question, but I'm going to give it my best shot. If I misunderstood, please let me know and we'll work from there.
Let's use the following scenario:
group_1
{
"cbType": "group",
"ID": 1,
"Name": "Group Atlas 3",
"StoreList": [
2,
4,
6
]
}
store_2
{
"cbType": "store",
"ID": 2,
"name": "some store name"
}
store_4
{
"cbType": "store",
"ID": 4,
"name": "another store name"
}
store_6
{
"cbType": "store",
"ID": 6,
"name": "last store name"
}
Now lets say you wan't to query the stores from a particular group (group_1), but include no other information about the group. You essentially want to use N1QL's UNNEST and JOIN operators.
This might leave you with a query like so:
SELECT
stores.name
FROM `bucket-name-here` AS groups
UNNEST groups.StoreList AS groupstore
JOIN `bucket-name-here` AS stores ON KEYS ("store_" || groupstore.ID)
WHERE
META(groups).id = 'group_1';
A few assumptions are made in this. Both your documents exist in the same bucket and you only want to select from group_1. Of course you could use a LIKE and switch the group id to a percent wildcard.
Let me know if something doesn't make sense.
Best,
Try this query:
select Name
from buketname a join bucketname b ON KEYS a.StoreList
where Name="Group Atlas 3"
Based on your update, you can do the following:
SELECT b, s
FROM DataBoard c USE KEYS ["Group_X"]
UNNEST c.StoreList b
JOIN store_bucket s ON KEYS "Store_" || TO_STRING(b);
I have a similar requirement and I got what I needed with a query like this:
SELECT store
FROM `bucket-name-here` group
JOIN `bucket-name-here` store ON KEYS group.StoreList
WHERE group.cbType = 'group'
AND group.ID = 1