I am very new to ElasticSearch and trying to figure out a situation
where I have to show particular JSON data from Elasticsearch. Please
see below code
def bucket_for_order_amount(buckets, aggregations)
buckets['order_range'] = {
range: {
field: :total,
keyed: true,
ranges: [
{ to: 25.0 },
{ from: 25.0, to: 50.0 },
{ from: 50.0, to: 75.0 },
{ from: 75.0, to: 100.0 },
{ from: 100.0 }
]
}
}
end
This will return JON response:
"report": {
"order_range": {
"buckets": {
"*-25.0": {
"to": 25,
"doc_count": 0
},
"25.0-50.0": {
"from": 25,
"to": 50,
"doc_count": 0
},
"50.0-75.0": {
"from": 50,
"to": 75,
"doc_count": 0
},
"75.0-100.0": {
"from": 75,
"to": 100,
"doc_count": 0
},
"100.0-*": {
"from": 100,
"doc_count": 2
}
}
}
I have a situation where I have to show the users listing inside the doc_count if any user exists in that range but I am not sure which
aggregation need to use to achieve this response.
The response would be like this:-
"*-25.0": {
"to": 25,
"doc_count": 2
{
user1,
user2
},
},
You can use the top_hits sub-aggregation for that purpose:
def bucket_for_order_amount(buckets, aggregations)
buckets['order_range'] = {
range: {
field: :total,
keyed: true,
ranges: [
{ to: 25.0 },
{ from: 25.0, to: 50.0 },
{ from: 50.0, to: 75.0 },
{ from: 75.0, to: 100.0 },
{ from: 100.0 }
]
},
aggs: {
users: { top_hits: {} }
}
}
end
Related
I am learning Django with MongoDb and have a collection to search into. Here is a sample document in the collection:
{
"_id": { "$oid": "62615907568ddfca4fef3a25" },
"word": 'entropy,
"count": 4,
"occurrence": [
{"book": "62615907568ddfca4fef3a23", "year": 1942, "sentence": 0 },
{"book": "62615907568ddfca4fef3a23", "year": 1942, "sentence": 5 },
{"book": "62615907568ddfca4fef3a75", "year": 1928, "sentence": 0 },
{"book": "62615907568ddfca4fef3a90", "year": 1959, "sentence": 8 }
]
}
I want to retrieve the array elements of 'occurrence' field of a specific document (word):
Sorted by year
Within an year range
Limited with offset
count the total results (without limit/offset)
What I have done so far is:
offset= 0
limit= 10
search= {'$and': [{"_id": word_id_obj, "occurrence": {"$elemMatch": {"year": {"$gte": 1940, "$lte": 1960}}}}]}
word_docs= wordcollec.aggregate([
{"$match": search},
{"$project":
{"occurrence":
{"$slice": ['$occurrence', offset, limit]}
}
},
{"$sort": {'occurrence.year': -1}}
])
# Count total results
recnt= wordcollec.aggregate([{"$match": search}, {'$group' : {"_id": "$_id", "sno" : {"$sum" : {"$size": "$occurrence"}}}}])
The year range, count are not working and I am unable to sort them. How can I rewrite my query for this?
Thanks in advance.
Use $unwind then $sort
db.collection.aggregate([
{
$match: {
_id: { "$oid": "62615907568ddfca4fef3a25" },
occurrence: { $elemMatch: { year: { $gte: 1940, $lte: 1960 } } }
}
},
{
$set: { totalWithoutLimitOrOffset: { $size: "$occurrence" } }
},
{
$unwind: "$occurrence"
},
{
$match: { "occurrence.year": { $gte: 1940, $lte: 1960 } }
},
{
$sort: { "occurrence.year": -1 }
},
{
$skip: 1
},
{
$limit: 2
},
{
$group: {
_id: "$_id",
word: { $first: "$word" },
count: { $first: "$count" },
totalWithoutLimitOrOffset: { $first: "$totalWithoutLimitOrOffset" },
occurrence: { $push: "$occurrence" }
}
}
])
mongoplayground
I have to get the TOP 5 hit APIs/Urls and display with the http statuses of each url and I am able to do it in a way with the below extraction query
{
"query": {
"bool": {
"must": [
{
"range": {
"#timestamp": {
"from": "now-15m",
"to": "now",
"include_lower": true,
"include_upper": true,
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"aggregations": {
"Url": {
"terms": {
"field": "data.url.keyword",
"size": 5,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"Status": {
"terms": {
"field": "data.response.status",
"size": 5,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
}
}
}
}
}
}
Output :
"aggregations": {
"Url": {
"doc_count_error_upper_bound": 940,
"sum_other_doc_count": 52374,
"buckets": [
{
"Status": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"doc_count": 3,
"key": 200
},
{
"doc_count": 254,
"key": 400
}
]
},
"doc_count": 3515,
"key": "/account/me/"
},
{
"Status": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"doc_count": 3376,
"key": 200
}
]
},
"doc_count": 3385,
"key": "/PlanDetails"
},
{
"Status": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"doc_count": 3282,
"key": 200
}
]
},
"doc_count": 3282,
"key": "/evaluation"
},
{
"Status": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"doc_count": 3205,
"key": 200
}
]
},
"doc_count": 3205,
"key": "/user/me"
},
{
"Status": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"doc_count": 3055,
"key": 200
}
]
},
"doc_count": 3055,
"key": "/user"
}
]
}
}
}
But I have few URL where user ID comes inbetween the URLs.
For eg URLs like
/account/me/3417375321062014.cust
DJXXODKNPA1581975RI/PlanDetails
KXVEIPBYSR1597110677RI/payment
Because of distinct user ID inside the URL, elastic search considers these as separate one.
User ID is a mix of alphabets and numbers, sometimes only numbers and few only alphabets.
I need to replace these userID's in URL and count them as one
Lets say there are two hits with 200 status for /payment
DJXXODKNPA1583201975RI/payment
KXVEIPBYSR1597110677RI/payment
I should be able to replace the user ID with * and count as one API so I get output like
*/payment 200:2
But now it considers these as distinct URL/API, because of this I am unable to get the correct Top 5 Hit urls/APIs.
Any idea on this would be a great help. Thanks
I'm trying to make a gauge and want to have two band colors (wrong/red, good/green). I've an example of the amchart in their online Chart maker https://live.amcharts.com/new/edit/. But I'm not able to get this working in icCube.
current we have icCube reporting version 7.0.0 (5549).
This is my chart JSON:
{
"box": {
"id": "wb695",
"widgetAdapterId": "w28",
"rectangle": {
"left": 1510,
"top": 340,
"right": 1910,
"bottom": 640
},
"zIndex": 901
},
"data": {
"mode": "MDX",
"schemaSettings": {
"cubeName": null,
"schemaName": null
},
"options": {
"WIZARD": {
"measures": [],
"rows": [],
"rowsNonEmpty": false,
"columns": [],
"columnsNonEmpty": false,
"filter": []
},
"MDX": {
"statement": "with \n member [Measures].[Measure1] AS 0.9\n member [Measures].[Measure2] AS 0.1\nSELECT\n\n{[Measures].[Measure1], [Measures].[Measure2]} on 0\n\nFROM [cube]"
},
"DATASOURCE": {}
},
"ic3_name": "mdx Query-5",
"ic3_uid": "m17"
},
"data-render": {
"chartType": {
"label": "Gauge",
"proto": {
"chartPrototype": {
"type": "gauge",
"arrows": [
{
"id": "GaugeArrow-1"
}
],
"axes": [
{
"id": "GaugeAxis-1"
}
]
},
"graphPrototype": {},
"dataProviderType": 3
},
"id": "gauge-chart"
},
"graphsConfiguration": [
{
"graph": {}
}
],
"valueAxes": [],
"trendLinesGuides": {},
"configuredQuadrants": {},
"advanced": {
"titles": [],
"faceAlpha": 0,
"faceBorderAlpha": 0
},
"balloon": {
"offsetX": 8
},
"chartOptions": {
"axes": [
{
"axisAlpha": 0.25,
"bottomText": "SLA",
"bottomTextColor": "#2A3F56",
"tickAlpha": 0.25,
"bandOutlineAlpha": 1,
"bandAlpha": 1,
"bandOutlineThickness": 95,
"bandOutlineColor": "#0095BC",
"id": 1
}
],
"bands": [
{
"alpha": 0.8,
"color": "#B53728",
"endValue": 0.6,
"startValue": 0,
"id": "GaugeBand-1"
},
{
"alpha": 0.6,
"color": "#435035",
"endValue": 1,
"startValue": 0.6,
"innerRadius": 0.69,
"id": "GaugeBand-2"
}
]
},
"ic3Data": {
"chartTypeConfig": {
"pie-chart-donut": {
"chartType": {
"label": "Donut",
"proto": {
"chartPrototype": {
"type": "donut",
"pullOutRadius": 0,
"startDuration": 0,
"legend": {
"enabled": false,
"align": "center",
"markerType": "circle"
},
"innerRadius": "60%"
},
"dataProviderType": 1
},
"id": "pie-chart-donut"
},
"graphsConfiguration": [
{}
],
"valueAxes": [],
"trendLinesGuides": {},
"configuredQuadrants": {},
"advanced": {
"titles": []
},
"balloon": {
"offsetX": 8
},
"chartOptions": {
"showZeroSlices": false,
"labelsEnabled": false,
"innerRadius": "60%",
"startAngle": 270,
"radius": "",
"fontSize": 20,
"color": "#0095BC",
"outlineAlpha": 0.25,
"tapToActivate": false
}
}
}
},
"axes": [
{
"startValue": 0,
"endValue": 1,
"startAngle": -90,
"endAngle": 90
}
],
"valueFormatting": ""
},
"navigation": {
"menuVisibility": {
"back": true,
"axisXChange": "All",
"axisYChange": "All",
"filter": "All",
"reset": true,
"widget": true,
"others": "All"
},
"selectionMode": "disabled"
},
"events": {},
"filtering": {},
"hooks": {}
}
Sorry for the late answer, out of the box it's not possible but you can use hooks to change the javascript options sent to amcharts.
JS / On Widget Options :
function(context, options, $box) {
const bands = [
{
"color": "#00CC00",
"endValue": 300000,
"id": "GaugeBand-1",
"startValue": 0
},
{
"color": "#ffac29",
"endValue": 600000,
"id": "GaugeBand-2",
"startValue": 300000
},
{
"color": "#ea3838",
"endValue": 900000,
"id": "GaugeBand-3",
"innerRadius": "95%",
"startValue": 600000
}
];
options.axes[0]["bands"] = bands;
return options;
}
This should work
i am trying to filter with multiple value in loopback 3. 'AND condition' is not working. Numeric value filter working good but string value not matched.
this is my condition is now :
{ "and": [{ "id": { "neq": "5d146f1f7a62651b8162fcf3" } },
{ "gender": "male" }, { "age": { "between": [16, 60] } },
{ "interestId": { "inq": ["5d11c0ce59e2b64e8dc12956", "5d11c0e259e2b64e8dc12958", "5d11c08659e2b64e8dc12953", "5d11c01759e2b64e8dc1294b", "5d11c03759e2b64e8dc1294d"] } },
{ "location": { "near": { "lat": 26.8574194, "lng": 75.7977288 }, "maxDistance": 6, "unit": "kilometers" } },
{ "maritalStatus": { "like": {} } }, { "college": { "like": {} } },
{ "career": { "like": {} } }, { "currentJob": { "like": {} } },
{ "height": { "between": [50, 89] } }, { "weight": { "between": [72, 192] } }, { "bodyBuild": "Slim" }] }
String value is not push in array.
if (interestId.highSchool && interestId.highSchool !="") {
var highschool = new RegExp('.*' + interestId.highSchool + '.*', "i");
query.and.push({
highSchool: { like: highschool }
})
}
where is issue i don't understand. if i did't pass string value it's working fine.
Try following way:-
if (interestId.highSchool && interestId.highSchool !="") {
query.and.push({
highSchool: {regexp: new RegExp('.*' + interestId.highSchool + '.*', "i")}
})
}
Working on google charts API (Line chart).I have same set of values which are used to draw lines for server and shipping, as the values are same two lines are overlapping as shown in the demo https://plnkr.co/edit/PNA1XQapRzvxGfm7behd?p=preview
Is there a way where we can see two lines instead of overlapping when they have the same values?
angular.module('myApp', ['googlechart'])
.controller('myController', function($scope) {
var chart1 = {};
chart1.type = "LineChart";
chart1.displayed = false;
chart1.data = {
"cols": [{
id: "month",
label: "Month",
type: "string"
}, {
id: "laptop-id",
label: "Laptop",
type: "number"
}, {
id: "desktop-id",
label: "Desktop",
type: "number"
}, {
id: "server-id",
label: "Server",
type: "number"
}, {
id: "cost-id",
label: "Shipping",
type: "number"
}],
"rows": [{
c: [{
v: "January"
}, {
v: 19,
}, {
v: 12,
}, {
v: 7, //server
}, {
v: 7 //shipping
}]
}, {
c: [{
v: "February"
}, {
v: 13
}, {
v: 1,
}, {
v: 12 //server
}, {
v: 12 //shipping
}]
}, {
c: [{
v: "March"
}, {
v: 24
}, {
v: 5
}, {
v: 11 //server
}, {
v: 11 //shipping
}
]
}]
};
chart1.options = {
"title": "Sales per month",
"colors": ['#0000FF', '#009900', '#CC0000', '#DD9900'],
"defaultColors": ['#0000FF', '#009900', '#CC0000', '#DD9900'],
"isStacked": "percent",
focusTarget: 'category',
"fill": 20,
"displayExactValues": true,
"vAxis": {
"title": "Sales unit",
"gridlines": {
"count": 10
}
},
"hAxis": {
"title": "Date"
}
};
chart1.view = {
columns: [0, 1, 2, 3, 4]
};
$scope.myChart = chart1;
});
use the series chart option to set pointSize on a specific series
the following will change the server series in the example provided...
series: {
2: {
pointSize: 8
}
}
see forked plnker...