How can I select array "1" inside the "flavor" object from json code in mysql
Attribute name: settings
{"without":{"usd":{"new":"5","old":"8"},"weight":"5"},"color":{"2","3"},"flavor":{"1","2"}}
And how can I get a number inside the "usd" object inside "new" knowing these objects are inside the first object and they are variable, perhaps ["without" or "long" or ......]
Attribute name: settings
{"without":{"usd":{"new":"5","old":"8"},"weight":"5"},"color":{"2","3"},"flavor":{["1","2"}}
{"long":{"usd":{"new":"2","old":"3"},"weight":"2"},"medium":{"usd":{"new":"3","old":"4"},"weight":"3"},"short":{"usd":{"new":"4","old":"5"},"weight":"4"}}
{"short":{"usd":{"new":"4","old":"5"},"weight":"2"},"color":{"1","2"}}
LIKE
without = 5
long = 2
short = 4
I rebuilt the data format so that I could extract the required data
{"size":[{"id":1,"url":"without","weight":"5","price":{"usd":{"new":"5","old":"8"}}}],"color":[{"id":"2","url":"yellow"},{"id":"3","url":"green"}],"flavor":[{"id":"1","url":"berry"},{"id":"2","url":"strawberry"}]}
MYSQL
JSON_EXTRACT(details.settings, '$.color[*].url') LIKE '%yellow%'
Related
I have wrote a code like below to concatenate two arrays together and save them as a JSON file.
In this code, "seg" is an array of some number, which has been produced somewhere in my code. info is also an array containing some data following by "Seg" array.
Defining variable types:
seg: Array<any> = [];
info: Array<any>=[];
final: Array<{info:any, Seg:any}>=[];
push value in array and concatenate them together:
this.info.push({date_created: 25 , description: 'aaa', year:'2015'});
this.final.push({info: this.info ,Seg:this.seg});
this.file.writeFile(this.file.externalApplicationStorageDirectory, 'test.json', JSON.stringify(this.final));
the produced file is something like this:
[{"info":[{"date_created: 25 , "description"="aaa", "year" :"2015"}],"seg":[2,3,4,5]}]
As you can see, the info information is placed between two bracket, so JSON file consider it as a list, not record.
Does anyone knows , how can I remove this brackets from the info array sides?
Should change the type of variable from array to anything else?
You can use like this to store as a record
seg: Array<any> = [];
info: Array<any>=[];
final:{info:any, Seg:any};
this.final.Seg = this.seg;
this.final.info = this.info;
Most examples deal with the book store example from Stefan Gössner, however I'm struggling to define the correct JsonPath expression for a simple object (no array):
{ "Id": 1, "Name": "Test" }
To check if this json contains Id = 1.
I tried the following expression: $..?[(#.Id == 1]), but this does find any matches using Json.NET?
Also tried Manatee.Json for parsing, and there it seems the jsonpath expression could be like $[?($.Id == 1)] ?
The path that you posted is not valid. I think you meant $..[?(#.Id == 1)] (some characters were out of order). My answer assumes this.
The JSON Path that you're using indicates that the item you're looking for should be in an array.
$ start
.. recursive search (1)
[ array item specification
?( item-based query
#.Id == 1 where the item is an object with an "Id" with value == 1 at the root
) end item-based query
] end array item specification
(1) the conditions following this could match a value no matter how deep in the hierarchy it exists
You want to just navigate the object directly. Using $.Id will return 1, which you can validate in your application.
All of that said...
It sounds to me like you want to validate that the Id property is 1 rather than to search an array for an object where the Id property is 1. To do this, you want JSON Schema, not JSON Path.
JSON Path is a query language for searching for values which meet certain conditions (e.g. an object where Id == 1.
JSON Schema is for validating that the JSON meet certain requirements (your data's in the right shape). A JSON Schema to validate that your object has a value of 1 could be something like
{
"properties": {
"Id": {"const":1}
}
}
Granted this isn't very useful because it'll only validate that the Id property is 1, which ideally should only be true for one object.
I want to check if an array of strings occur in a dataset and print those rows where the string array elements occur.
rareTitles = {"Capt", "Col", "Countess", "Don", "Dr", "Jonkheer", "Lady",
"Major", "Mlle", "Mme", "Ms", "Rev", "Sir"}
dataset[rareTitles in (dataset['Title'])]
I am getting following error:
TypeError: unhashable type: 'set'
First of all, I think the comparison should go the other way around - you look for a dataset['Title'], that contains string from rareTitles.
You can use str attribute of a pandas DataSeries, which allows as to use string methods, like contains. As this method accepts also a pattern as a regular expression, you can put as an argument something like 'Capt|Col...'. To join all elements of a set you can use str.join() method.
So the solution would be
dataset[dataset['Title'].str.contains('|'.join(rareTitles))]
Link to documentation: pandas.Series.str.contains
I have a MySQL database with a table containing a JSON field called things. The JSON looks like this
things = {"value1": "phil", "value2": "jill"}
I have collection of objects that I have pulled from the database via
my_things = Name_table.objects.values
Now, I'd like to filter the my_things collection by one of the JSON fields. I've tried this
my_things =
my_things.filter(things__contains={'value': 'phil'})
which returned an empty collection. I've also tried
my_things = my_things.filter(things={'value': 'phil'})
and
my_things = my_things.filter(things__exact={'value': 'phil'})
I'n using Django 1.10 and MySQL 5.7
Thoughts?
It depends on how exactly do you store JSON in field. If you use django-jsonfield, then your things will be string without spaces, with strings inside of quotation marks: '{"value1":"phil","value2":"jill"}'.
Then, via docs:
my_things = my_things.filter(things__contains='"value1":"phil"')
should return your filtered QuerySet, because
>>> tmp_str = '{"value1":"phil","value2":"jill"}'
>>> '"value1":"phil"' in tmp_str
True
I am selecting nodes in a JSON input but can't find a way to include parent object detail for each array entry that I am querying. I am using pentaho data integration to query the data using JSON input form a mongodb input.
I have also tried to create a mongodb query to achieve the same but cannot seem to do this either.
Here are the two fields/paths that display the data:
$.size_break_costs[*].size
$.size_break_costs[*].quantity
Here is the json source format:
{
"_id" : ObjectId("4f1f74ecde074f383a00000f"),
"colour" : "RAVEN-SMOKE",
"name" : "Authority",
"size_break_costs" : [
{
"quantity" : NumberLong("80"),
"_id" : ObjectId("518ffc0697eee36ff3000002"),
"size" : "S"
},
{
"quantity" : NumberLong("14"),
"_id" : ObjectId("518ffc0697eee36ff3000003"),
"size" : "M"
},
{
"quantity" : NumberLong("55"),
"_id" : ObjectId("518ffc0697eee36ff3000004"),
"size" : "L"
}
],
"sku" : "SK3579"
}
I currently get the following results:
S,80
M,14
L,55
I would like to get the SKU and Name as well as my source will have multiple products (SKU/Description):
SK3579,Authority,S,80
SK3579,Authority,M,14
SK3579,Authority,L,55
When I try To include using $.sku, I the process errors.
The end result i'm after is a report of all products and the available quantities of their various sizes. Possibly there's an alternative mongodb query that provides this.
EDIT:
It seems the issue may be due to the fact that not all lines have the same structure. For example the above contains 3 sizes - S,M,L. Some products come in one size - PACK. Other come in multiple sizes - 28,30,32,33,34,36,38 etc.
The error produced is:
*The data structure is not the same inside the resource! We found 1 values for json path [$.sku], which is different that the number retourned for path [$.size_break_costs[].quantity] (7 values). We MUST have the same number of values for all paths.
I have tried the following mongodb query separately which gives the correct results, but the corresponding export of this doesn't work. No values are returned for the Size and Quantity.
Query:
db.product_details.find( {}, {sku: true, "size_break_costs.size": true, "size_break_costs.quantity": true}).pretty();
Export:
mongoexport --db brandscope_production --collection product_details --csv --out Test01.csv --fields sku,"size_break_costs.size","size_break_costs.quantity" --query '{}';
Shortly after I added my own bounty, I figured out the solution. My problem has the same basic structure, which is a parent identifier, and some number N child key/value pairs for ratings (quality, value, etc...).
First, you'll need a JSON Input step that gets the SKU, Name, and size_break_costs array, all as Strings. The important part is that size_break_costs is a String, and is basically just a stringified JSON array. Make sure that under the Content tab of the JSON Input, that "Ignore missing path" is checked, in case you get one with an empty array or the field is missing for some reason.
For your fields, use:
Name | Path | Type
ProductSKU | $.sku | String
ProductName | $.name | String
SizeBreakCosts | $.size_break_costs | String
I added a "Filter rows" block after this step, with the condition "SizeBreakCosts IS NOT NULL", which is then passed to a second JSON Input block. This second JSON block, you'll need to check "Source is defined in a field?", and set the value of "Get source from field" to "SizeBreakCosts", or whatever you named it in the first JSON Input block.
Again, make sure "Ignore missing path" is checked, as well as "Ignore empty file". From this block, we'll want to get two fields. We'll already have ProductSKU and ProductName with each row that's passed in, and this second JSON Input step will further split it into however many rows are in the SizeBreakCosts input JSON. For fields, use:
Name | Path | Type
Quantity | $.[*].quantity | Integer
Size | $.[*].size | String
As you can see, these paths use "$.[*].FieldName", because the JSON string we passed in has an array as the root item, so we're getting every item in that array, and parsing out its quantity and size.
Now every row should have the SKU and name from the parent object, and the quantity and size from each child object. Dumping this example to a text file, I got:
ProductSKU;ProductName;Size;Quantity
SK3579;Authority;S; 80
SK3579;Authority;M; 14
SK3579;Authority;L; 55