I have a simple query like this:
SELECT container.category FROM `mybucket` as location
UNNEST location.partsContainers container
WHERE container.category IS NOT null
it gives me json:
[{
"category": "0028H3:WV CUTTING EDGE AXIAL REAM TRAY"
},
{
"category": "AVENTURA OASYS 1-2"
}, ... etc.
but what I need it a flat array of strings:
["0028H3:WV CUTTING EDGE AXIAL REAM TRAY",
"AVENTURA OASYS 1-2",
... etc
]
how can I achieve that?
you can use ARRAY_AGG:
SELECT RAW ARRAY_AGG(container.category)
FROM `mybucket` as location
UNNEST location.partsContainers container
WHERE container.category IS NOT null
Related
Here is my json data:
{
"TransactionId": "1",
"PersonApplicant": [
{
"PersonalId": "1005",
"ApplicantPhone": [
{
"PhoneType": "LANDLINE",
"PhoneNumber": "8085063644",
"IsPrimaryPhone": true
}
]
},
{
"PersonalId": "1006",
"ApplicantPhone": [
{
"PhoneType": "LANDLINE",
"PhoneNumber": "9643645364",
"IsPrimaryPhone": true
},
{
"PhoneType": "HOME",
"PhoneNumber": "987654321",
"IsPrimaryPhone": false
}
]
}
]
}
I want to get phone no of the people who have phonetype as landline.
How to do that?
I tried this approach:
#find phoneNumber when phoneType='LANDLINE'
SELECT
#path_to_name := json_unquote(json_search(applicationData, 'one', 'LANDLINE')) AS path_to_name,
#path_to_parent := trim(TRAILING '.PhoneType' from #path_to_name) AS path_to_parent,
#event_object := json_extract(applicationData, #path_to_parent) as event_object,
json_unquote(json_extract(#event_object, '$.PhoneNumber')) as PhoneNumber
FROM application;
The issue with this is that I am using 'one' so I am able to achieve results but here in my json I have 2 people who have type as landline.
Using json search I am getting array of values and I am not able to decide how to extract these array row values in a manner where I can extract paths.
SELECT
#path_to_name := json_unquote(json_search(applicationData, 'all', 'LANDLINE')) from application;
result:
as you can see at 3rd and 4th row i am getting 2 data as an array.
How do I store this data to get the appropriate result?
I also tried one more query but not able to retrieve results for array of data.
I cannot use stored procedure and I have to use mysql workbench.
Please note that I am fresher so I don't know how I can approach this solution for more complex queries where I may have to retrieve id of a person having type as landline (multiple people in single array).
SELECT test.id, jsontable.*
FROM test
CROSS JOIN JSON_TABLE(test.data,
'$.PersonApplicant[*]'
COLUMNS ( PersonalId INT PATH '$.PersonalId',
PhoneType VARCHAR(255) PATH '$.ApplicantPhone[0].PhoneType',
PhoneNumber VARCHAR(255) PATH '$.ApplicantPhone[0].PhoneNumber')) jsontable
WHERE jsontable.PhoneType = 'LANDLINE';
https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=4089207ccfba5068a48e06b52865e759
I have a sqlite database and in one of the fields I have stored complete json object . I have to make some json select requests . If you see my json
the ALL key has value which is an array . We need to extract some data like all comments where "pod" field is fb . How to extract properly when sqlite json has value as an array ?
select json_extract(data,'$."json"') from datatable ; gives me entire thing . Then I do
select json_extract(data,'$."json"[0]') but i dont want to do it manually . i want to iterate .
kindly suggest some source where i can study and work on it .
MY JSON
{
"ALL": [{
"comments": "your site is awesome",
"pod": "passcode",
"originalDirectory": "case1"
},
{
"comments": "your channel is good",
"data": ["youTube"],
"pod": "library"
},
{
"comments": "you like everything",
"data": ["facebook"],
"pod": "fb"
},
{
"data": ["twitter"],
"pod": "tw",
"ALL": [{
"data": [{
"codeLevel": "3"
}],
"pod": "mo",
"pod2": "p"
}]
}
]
}
create table datatable ( path string , data json1 );
insert into datatable values("1" , json('<abovejson in a single line>'));
Simple List
Where your JSON represents a "simple" list of comments, you want something like:
select key, value
from datatable, json_each( datatable.data, '$.ALL' )
where json_extract( value, '$.pod' ) = 'fb' ;
which, using your sample data, returns:
2|{"comments":"you like everything","data":["facebook"],"pod":"fb"}
The use of json_each() returns a row for every element of the input JSON (datatable.data), starting at the path $.ALL (where $ is the top-level, and ALL is the name of your array: the path can be omitted if the top-level of the JSON object is required). In your case, this returns one row for each comment entry.
The fields of this row are documented at 4.13. The json_each() and json_tree() table-valued functions in the SQLite documentation: the two we're interested in are key (very roughly, the "row number") and value (the JSON for the current element). The latter will contain elements called comment and pod, etc..
Because we are only interested in elements where pod is equal to fb, we add a where clause, using json_extract() to get at pod (where $.pod is relative to value returned by the json_each function).
Nested List
If your JSON contains nested elements (something I didn't notice at first), then you need to use the json_tree() function instead of json_each(). Whereas the latter will only iterate over the immediate children of the node specified, json_tree() will descend recursively through all children from the node specified.
To give us some data to work with, I have augmented your test data with an extra element:
create table datatable ( path string , data json1 );
insert into datatable values("1" , json('
{
"ALL": [{
"comments": "your site is awesome",
"pod": "passcode",
"originalDirectory": "case1"
},
{
"comments": "your channel is good",
"data": ["youTube"],
"pod": "library"
},
{
"comments": "you like everything",
"data": ["facebook"],
"pod": "fb"
},
{
"data": ["twitter"],
"pod": "tw",
"ALL": [{
"data": [{
"codeLevel": "3"
}],
"pod": "mo",
"pod2": "p"
},
{
"comments": "inserted by TripeHound",
"data": ["facebook"],
"pod": "fb"
}]
}
]
}
'));
If we were to simply switch to using json_each(), then we see that a simple query (with no where clause) will return all elements of the source JSON:
select key, value
from datatable, json_tree( datatable.data, '$.ALL' ) limit 10 ;
ALL|[{"comments":"your site is awesome","pod":"passcode","originalDirectory":"case1"},{"comments":"your channel is good","data":["youTube"],"pod":"library"},{"comments":"you like everything","data":["facebook"],"pod":"fb"},{"data":["twitter"],"pod":"tw","ALL":[{"data":[{"codeLevel":"3"}],"pod":"mo","pod2":"p"},{"comments":"inserted by TripeHound","data":["facebook"],"pod":"fb"}]}]
0|{"comments":"your site is awesome","pod":"passcode","originalDirectory":"case1"}
comments|your site is awesome
pod|passcode
originalDirectory|case1
1|{"comments":"your channel is good","data":["youTube"],"pod":"library"}
comments|your channel is good
data|["youTube"]
0|youTube
pod|library
Because JSON objects are mixed in with simple values, we can no longer simply add where json_extract( value, '$.pod' ) = 'fb' because this produces errors when value does not represent an object. The simplest way around this is to look at the type values returned by json_each()/json_tree(): these will be the string object if the row represents a JSON object (see above documentation for other values).
Adding this to the where clause (and relying on "short-circuit evaluation" to prevent json_extract() being called on non-object rows), we get:
select key, value
from datatable, json_tree( datatable.data, '$.ALL' )
where type = 'object'
and json_extract( value, '$.pod' ) = 'fb' ;
which returns:
2|{"comments":"you like everything","data":["facebook"],"pod":"fb"}
1|{"comments":"inserted by TripeHound","data":["facebook"],"pod":"fb"}
If desired, we could use json_extract() to break apart the returned objects:
.mode column
.headers on
.width 30 15 5
select json_extract( value, '$.comments' ) as Comments,
json_extract( value, '$.data' ) as Data,
json_extract( value, '$.pod' ) as POD
from datatable, json_tree( datatable.data, '$.ALL' )
where type = 'object'
and json_extract( value, '$.pod' ) = 'fb' ;
Comments Data POD
------------------------------ --------------- -----
you like everything ["facebook"] fb
inserted by TripeHound ["facebook"] fb
Note: If your structure contained other objects, of different formats, it may not be sufficient to simply select for type = 'object': you may have to devise a more subtle filtering process.
Suppose I have the following data:
{
"dashboards": [
{
"name": "first",
"type": "standard"
},
{
"name": "second",
"type": "custom"
}
]
}
(actually there's a lot more data than that, I am just showing what the structure of the data is)
What I am trying to do is get the first 10 dashboards of type standard.
I know I can get all the standard dashboards with:
jq '.dashboards[] | select(.type == "standard")'
But I can't figure out how to slice the resulting array...
If you want the result as an array, you could use map:
.dashboards | map(select(.type=="standard")) | .[0:10]
However, this is inefficient. For efficiency, it would be better to use limit as discussed below.
If you wanted the items as a stream, you could write:
limit(10; .dashboards[] | select(.type=="standard"))
If you want the results as an array, simply wrap the above jq expression in square brackets.
I have a JSON file containing an array of objects (test.json):
[
{
"name": "Test 1",
"id": 1
},
{
"name": "Test 2",
"id": 2
},
{
"name": "Test 3",
"id": 3
}
]
I want to extract all objects, that have a certain ID. I managed to get an object if I want just one specific ID: jq 'map(select(.id == 2 ))' test.json.
Thing is, I have a list of IDs, say 1 and 3. How do I get a list containing only those object? So in this example a list containing the objects with ID 1 and 3?
You can check the example here: https://jqplay.org/s/xQgpA4yJAz
jq 'map(select(.id | contains(1,3)))'
Man, jq is so great
https://github.com/stedolan/jq/wiki/Cookbook#filter-objects-based-on-the-contents-of-a-key
The solution using contains/1 as presented on this page could just as well be written using ==:
map(select(.id == (1,3)))
The main reason for mentioning this is that contains is full of potential surprises. (Consider, for example, what would happen if .id were string-valued.)
Unfortunately, using either == or contains as above is computationally inefficient (it is O(m*n)), though in practice it is quite fast.
I have several large json objects (think GB scale), where the object values in some of the innermost levels are arrays of objects. I'm using jq 1.4 and I'm trying to break these arrays into individual objects, each of which will have a key such as g__0 or g__1, where the numbers correspond to the index in the original array, as returned by the keys function. The number of objects in each array may be arbitrarily large (in my example it is equal to 3). At the same time I want to keep the remaining structure.
For what it's worth the original structure comes from MongoDB, but I am unable to change it at this level. I will then use this json file to create a schema for BigQuery, where an example column will be seeds.g__1.guid and so on.
What I have:
{
"port": 4500,
"notes": "This is an example",
"seeds": [
{
"seed": 12,
"guid": "eaf612"
},
{
"seed": 23,
"guid": "bea143"
},
{
"seed": 38,
"guid": "efk311"
}
]
}
What I am hoping to achieve:
{
"port": 4500,
"notes": "This is an example",
"seeds": {
"g__0": {
"seed": 12,
"guid": "eaf612"
},
"g__1": {
"seed": 23,
"guid": "bea143"
},
"g__2": {
"seed": 38,
"guid": "efk311"
}
}
}
Thanks!
The following jq program should do the trick. At least it produces the desired results for the given JSON. The program is so short and straightforward that I'll let it speak for itself:
def array2object(prefix):
. as $in
| reduce range(0;length) as $i ({}; .["\(prefix)_\($i)"] = $in[$i]);
.seeds |= array2object("g__")
So, you essentially want to transpose (pivot) your data in BigQuery Table such that instead of having data in rows as below
you will have your data in columns as below
Thus, my recommendation would be
First, load your data as is to start with
So now, instead of doing schema transformation outside of BigQuery, let’s rather do it within BigQuery!
Below would be an example of how to achieve transformation you are looking for (assuming you have max three items/objects in array)
#standardSQL
SELECT
port, notes,
STRUCT(
seeds[SAFE_OFFSET(0)] AS g__0,
seeds[SAFE_OFFSET(1)] AS g__1,
seeds[SAFE_OFFSET(2)] AS g__2
) AS seeds
FROM yourTable
You can test this with dummy data using CTE like below
#standardSQL
WITH yourTable AS (
SELECT
4500 AS port, 'This is an example' AS notes,
[STRUCT<seed INT64, guid STRING>
(12, 'eaf612'), (23, 'bea143'), (38, 'efk311')
] AS seeds
UNION ALL SELECT
4501 AS port, 'This is an example 2' AS notes,
[STRUCT<seed INT64, guid STRING>
(42, 'eaf412'), (53, 'bea153')
] AS seeds
)
SELECT
port, notes,
STRUCT(
seeds[SAFE_OFFSET(0)] AS g__0,
seeds[SAFE_OFFSET(1)] AS g__1,
seeds[SAFE_OFFSET(2)] AS g__2
) AS seeds
FROM yourTable
So, technically, if you know max number of items/object in seeds array – you can just manually write needed SQL statement, to run it against real data.
Hope you got an idea
Of course you can script /automate process – you can find examples for similar pivoting tasks here:
https://stackoverflow.com/a/40766540/5221944
https://stackoverflow.com/a/42287566/5221944