I use following terraform code to get a list of available db resources:
data "alicloud_db_instance_classes" "resources" {
instance_charge_type = "PostPaid"
engine = "PostgreSQL"
engine_version = "10.0"
category = "HighAvailability"
zone_id = "${data.alicloud_zones.rds_zones.ids.0}"
multi_zone = true
output_file = "./classes.txt"
}
And the output file looks like this:
[
{
"instance_class": "pg.x4.large.2",
"storage_range": {
"max": "500",
"min": "250",
"step": "250"
},
"zone_ids": [
{
"id": "cn-shanghai-MAZ1(b,c)",
"sub_zone_ids": [
"cn-shanghai-b",
"cn-shanghai-c"
]
}
]
},
{
"instance_class": "pg.x8.medium.2",
"storage_range": {
"max": "250",
"min": "250",
"step": "0"
},
"zone_ids": [
{
"id": "cn-shanghai-MAZ1(b,c)",
"sub_zone_ids": [
"cn-shanghai-b",
"cn-shanghai-c"
]
}
]
},
{
"instance_class": "rds.pg.c1.xlarge",
"storage_range": {
"max": "2000",
"min": "5",
"step": "5"
},
"zone_ids": [
{
"id": "cn-shanghai-MAZ1(b,c)",
"sub_zone_ids": [
"cn-shanghai-b",
"cn-shanghai-c"
]
}
]
},
{
"instance_class": "rds.pg.s1.small",
"storage_range": {
"max": "2000",
"min": "5",
"step": "5"
},
"zone_ids": [
{
"id": "cn-shanghai-MAZ1(b,c)",
"sub_zone_ids": [
"cn-shanghai-b",
"cn-shanghai-c"
]
}
]
}
]
And I want to get the one that's cheapest.
One way to do so is by sorting with storage-range.min， but how do I sort this list based on 'storage_range.min'?
Or I can filter by 'instance_class', but "alicloud_db_instance_classes" doesn't seem to like filter as it says: Error: data.alicloud_db_instance_classes.resources: : invalid or unknown key: filter
Any ideas?
The sort() function orders lexicographical and you have no simple key here.
You can use filtering with some code like this (v0.12)
locals {
best_db_instance_class_key = "rds.pg.s1.small"
best_db_instance_class = element( alicloud_db_instance_classes.resources, index(alicloud_db_instance_classes.resources.*.instance_class, best_db_instance_class_key) )
}
(Untested code)
Related
using jq i'm trying to add data to a specific element in my json below :
{
"users": [
{
"username": "karim",
"queue": [
"default"
]
},
{
"username": "admin",
"queue": [
"apps",
"prod"
]
}
]
}
what i want to do is to add items in queue[] of user admin like this
{
"users": [
{
"username": "hive",
"queue": [
"default"
]
},
{
"username": "admin",
"queue": [
"apps",
"prod",
"dev"
]
}
]
}
This is the command i used
jq '.users[] | select(.username == "admin").queue += ["dev"]' file.json
But the result is not as expected
{
"username": "hive",
"queue": [
"default"
]
}
{
"username": "admin",
"queue": [
"apps",
"prod",
"dev"
]
}
Why users array doesn't appear ? I need to keep it in the result
With the pipe you are changing the context down to an array element, which is what you want for the selection. If you put parentheses around the pipe and the selection, you will keep the assignment and thus the filter's output on top-level:
jq '(.users[] | select(.username == "admin")).queue += ["dev"]'
{
"users": [
{
"username": "karim",
"queue": [
"default"
]
},
{
"username": "admin",
"queue": [
"apps",
"prod",
"dev"
]
}
]
}
Demo
I am calling API and getting below output but from the output and i want to find the key based on value input and my input value is "vpc-tz" how to achieve this in ansible using json_query?
{
"json": {
"allScopes": [
{
"
"clusters": {
"clusters": [
{
"cluster": {
"clientHandle": "",
"type": {
"name": "ClusterComputeResource"
},
"universalRevision": 0,
"vsmUuid": "423B1819-9495-4F10-A96A-6D8284E51B29"
}
}
]
},
"controlPlaneMode": "UNICAST_MODE",
"description": "",
"extendedAttributes": [
],
"id": "vdnscope-6",
"isTemporal": false,
"isUniversal": false,
"name": "vpc-tz",
"nodeId": "85e0073d-0e5a-4f04-889b-42df771aebf8",
"objectId": "vdnscope-6",
"objectTypeName": "VdnScope",
"revision": 0,
"type": {
"name": "VdnScope"
},
"universalRevision": 0,
"virtualWireCount": 0,
"vsmUuid": "423B1819-9495-4F10-A96A-6D8284E51B29"
},
]
}
}
Here is a query which works:
json.allScopes[?name=='vpc-tz'].name
I have the following data:
{
"_id": ObjectID("5e2fa881c3a1a70006c5743c"),
"name": "Some name",
"policies": [
{
"cId": "dasefa-2738-4cf0-90e0d568",
"weight": 12
},
{
"cId": "c640ad67dasd0-92f981583568",
"weight": 50
}
]
}
I'm able to query this with Spring Mongo fine, however I want to be able to order the policies by weight
At the moment I get my results fine with:
return mongoTemplate.find(query, CArea::class.java)
However say I make the following aggregations:
val unwind = Aggregation.unwind("policies")
val sort = Aggregation.sort(Sort.Direction.DESC,"policies.weight")
How can I go and actually apply those to the returned results above? I was hoping that the dot annotation would do the job in my query however didnt do anything e.g. Query().with(Sort.by(options.sortDirection, "policies.weight"))
Any help appreciated.
Thanks.
I am not familier with Spring Mongo, but I guess you can convert the following aggregation to spring code.
db.collection.aggregate([
{
$unwind: "$policies"
},
{
$sort: {
"policies.weight": -1
}
},
{
$group: {
_id: "$_id",
"policies": {
"$push": "$policies"
},
parentFields: {
$first: "$$ROOT"
}
}
},
{
$replaceRoot: {
newRoot: {
$mergeObjects: [
"$parentFields",
{
policies: "$policies"
}
]
}
}
}
])
This will result:
[
{
"_id": "5e2fa881c3a1a70006c5743c",
"name": "Some name",
"policies": [
{
"cId": "c640ad67dasd0-92f981583568",
"weight": 50
},
{
"cId": "dasefa-2738-4cf0-90e0d568",
"weight": 12
}
]
}
]
Playground
I have $balance that is returned from another function like this:
$balance = {
"data": [
{
"name": "ABS",
"y": 1450
},
{
"name": "PBT",
"y": 1200
},
{
"name": "Краситель",
"y": 1000
},
{
"name": "PP",
"y": 750
}
]
}
And I have also collection called $statistics like this:
$statistics = [
{
"name": "ABS",
"data": []
},
{
"name": "PP",
"data": []
},
{
"name": "PBT",
"data": []
},
{
"name": "Краситель",
"data": []
}
]
What I'm trying to do is pushing all y 's of $balance to corresponding $statistics by matching their name.
Here is short description of my code:
foreach ($balance["data"] as $firm){
$statistics->firstWhere('name', $firm->name)['data']->push($firm->y);
}
However, I'm getting Call to a member function push() on null error. Can anyone help me find out the problem
My table contains documents that look like this:
[{ user: {
key: '100'
},
product: {
name: 'Product 1',
tags: [ 'tag1', 'tag2' ],
}
}, { user: {
key: '100'
},
product: {
name: 'Product 1',
tags: [ 'tag1', 'tag3' ],
}
}, ...]
I would like to create a query which would
groupe documents by the user.key field (1 document per user on result),
the product.tags would be an object (instead of array) with tag occurrences count for each tag.
Result example:
[ { user: {
key: '100'
},
product: {
name: 'Product 1',
tags: {
tag1: 2, // tag1 found 2x for user.key=100
tag2: 1, // tag2 found 1x for user.key=100
tag3: 1
}
}
}, ...]
I think I could do this by mapping and reducing but I have problems - I'm using rethinkdb for the first time.
Here's a way to do it:
// Group by user key
r.table('30400911').group(r.row('user')('key'))
// Only get the product info inside the reduction
.map(r.row('product'))
.ungroup()
.map(function (row) {
return {
user: row('group'),
// Group by name
products: row('reduction').group('name').ungroup().map(function (row) {
return {
name: row('group'),
// Convert array of tags into key value pairs
tags: r.object(r.args(row('reduction').concatMap(function (row) {
return row('tags')
}).group(function (row) {
return row;
}).count().ungroup().concatMap(function (row) {
return [row('group'), row('reduction')]
})))
}
})
}
})
For the following data:
{
"id": "0565e91a-01ca-4ba3-b4d5-1043c918c79d" ,
"product": {
"name": "Product 2" ,
"tags": [
"tag1" ,
"tag3"
]
} ,
"user": {
"key": "100"
}
} {
"id": "39999c9f-bbef-4cb7-9311-2516ca8f9ba1" ,
"product": {
"name": "Product 1" ,
"tags": [
"tag1" ,
"tag3"
]
} ,
"user": {
"key": "100"
}
} {
"id": "566f3b79-01bf-4c29-8a9c-fd472431eeb6" ,
"product": {
"name": "Product 1" ,
"tags": [
"tag1" ,
"tag2"
]
} ,
"user": {
"key": "100"
}
} {
"id": "8e95c467-cedc-4734-ad4d-a1f7a371efd5" ,
"product": {
"name": "Product 1" ,
"tags": [
"tag1" ,
"tag2"
]
} ,
"user": {
"key": "200"
}
}
The results would be:
[
{
"products": [
{
"name": "Product 1" ,
"tags": {
"tag1": 2 ,
"tag2": 1 ,
"tag3": 1
}
}, {
"name": "Product 2" ,
"tags": {
"tag1": 1 ,
"tag3": 1
}
}
],
"user": "100"
} ,
{
"products": [
{
"name": "Product 1" ,
"tags": {
"tag1": 1 ,
"tag2": 1
}
}
] ,
"user": "200"
}
]