I want to find products and for each product attach deals to it. A deal is a product from same collection, yet based on some common properties.
So as per my requirement pipeline should return documents, for each document find other products those aren't same as current, but have equal detail.duration. But even though I've many docs with same duration, deals are always []. Could you please figure out the issue with my pipeline?
Following is the aggregation pipeline I'm running:
I've added filter _id $in just for clarity based on shown documents below. This isn't a part of real pipeline $match query.
db.products
.aggregate([
{
$match: {
_id: {
$in: [
ObjectId("6210fa8746bee3fcbd0ad062"),
ObjectId("6210fa7c46bee3fcbd0acc21"),
],
},
"detail.duration": { $gt: 0 },
},
},
{
$lookup: {
from: "products",
let: { id: "$_id", duration: "$detail.duration" },
as: "deals",
pipeline: [
{
$match: {
_id: { $ne: "$id" },
"detail.duration": "$duration",
},
},
{ $project: { detail: 1 } },
{ $limit: 1 },
],
},
},
{ $limit: 2 },
{ $project: { deals: 1 } },
])
.pretty();
This was the result:
{ "_id" : ObjectId("6210fa7c46bee3fcbd0acc21"), "deals" : [ ] }
{ "_id" : ObjectId("6210fa8746bee3fcbd0ad062"), "deals" : [ ] }
Following are two example documents in the collection:
{
"_id" : ObjectId("6210fa8746bee3fcbd0ad062"),
"book" : "https://wegotrip.com/en/paris-d3/muse-d-orsay-and-musee-de-l-orangerie-combined-tour-ticket-p1117/?SUB_ID=336264",
"address" : "Rue de Lille, 62bis",
"countryName" : "France",
"cityName" : "Paris",
"location" : {
"lang" : 48.859886,
"lat" : 2.3254821,
"country" : ObjectId("6210fa7746bee3fcbd0aca20"),
"city" : ObjectId("6210fa7746bee3fcbd0aca1c"),
"location" : "Rue de Lille, 62bis",
"_id" : ObjectId("6210fa8746bee3fcbd0ad063")
},
"includes" : [
{
"value" : "Skip-the-line ticket to Orsay Museum",
"included" : true
},
{
"value" : "Skip-the-line ticket to the Musée de l'Orangerie",
"included" : true
},
{
"value" : "Detailed description of the Nymphéas from Claude Monet",
"included" : true
},
{
"value" : "Interesting stories of many great artists and their lives",
"included" : true
},
{
"value" : "An easy walkthrough of the Musée d'Orsay and the Musée de l'Orangerie and their great collection",
"included" : true
},
{
"value" : "Headphones — you should bring your own",
"included" : false
}
],
"price" : {
"priceConcession" : null,
"priceChild" : null,
"price" : 57,
"currency" : ObjectId("6210fa7746bee3fcbd0aca2f"),
"_id" : ObjectId("6210fa8746bee3fcbd0ad064")
},
"detail" : {
"isPass" : false,
"features" : [
{
"key" : "audio_guide",
"value" : "Audio Guide"
}
],
"highlights" : [
"Admire the masterpieces by Monet, Renoir, Degas, Cézanne, and many more",
"Discover one of the finest collections of Impressionist art in the world",
"Visit the Nymphéas by Monet, one of the greatest pieces of Impressionism",
"Explore the Guillaume and Walter collection and find out what makes it unique"
],
"details" : [ ],
"images" : [
{
"id" : 7270,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/dsc04800/01d0770dcc0cac4c6de0f6eae70742f6.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/dsc04800.jpg"
},
{
"id" : 7269,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/nympheasannees30salle1parisiennephotorogerviolet/e1270aef1c01391290df71d1f83c8abc.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/nympheasannees30salle1parisiennephotorogerviolet.jpg"
},
{
"id" : 7268,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/ob1f7c80dsc02414-large/7712cb29e133ee3acb4b2bffbc2ac654.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/ob1f7c80dsc02414-large.jpg"
},
{
"id" : 7267,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/tuileriesgardensb16dsc00678talrg/47430ab8a257e3ccd2337d7a0d750c57.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/tuileriesgardensb16dsc00678talrg.jpg"
},
{
"id" : 7266,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/009/54223ef27aac5cd94fe5c20893abf2de.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/009.jpg"
},
{
"id" : 7264,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/monet-morning-with-weeping-willow/09bf842cc9a9d7eade8d0739f704699f.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/monet-morning-with-weeping-willow.jpg"
}
],
"duration" : 2,
"_id" : ObjectId("6210fa8746bee3fcbd0ad065")
},
"availability" : null,
"subcategory" : [
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"category" : [
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"type" : "Audio Guide",
"description" : "Visit the famous Musee d'Orsay and Musée de l'Orangerie in Paris with this combined self-guided tour! \r\n\r\nNavigate through the maze of exhibition rooms with mobile app and see a collection of works by the Impressionists and Expressionists – Seurat, Cezanne, Gaugin, Monet, Renoir, Manet, Van Gogh, Degas; sculptors like Rodin, Pompon and others. Check out a mini-version of the Statue of Liberty! \r\n\r\nExplore the Nymphéas paintings by Claude Monet, that is called \"the Sistine chapel of Impressionism\". Admire the great works of Picasso, Soutine, Rousseau, Matisse and many others part of the Paul Guillaume and Jean Walter collection. Learn about the style and private life of the artists.\r\n\r\nThe audio-guide will provide you with all the information on the cultural significance of these paintings. Walking through rooms you will understand how revolutionary for those times Manet’s, Cezanne’s and Degas’ creation really was casting doubts on conservative, academic conceptions of 'true art' and offering new techniques and ideas.",
"thumbnail" : "https://app.wegotrip.com/media/CACHE/images/store/1117/013/c0b8cce52cb61ab1f30872e6e93385b4.jpg",
"name" : "Musée d'Orsay/Musée de l'Orangerie Combined Admission Ticket & Audio Tour",
"attractionDescription" : "",
"attractionName" : "Musée d'Orsay & Musée de l'Orangerie",
"attraction" : ObjectId("6210fa8746bee3fcbd0ad056"),
"provider" : {
"rating" : {
"count" : 0,
"average" : null,
"_id" : ObjectId("6210fa8746bee3fcbd0ad067")
},
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/013/c0b8cce52cb61ab1f30872e6e93385b4.jpg",
"slug" : "muse-d-orsay-and-musee-de-l-orangerie-combined-tour-ticket",
"id" : "1117",
"key" : "1",
"_id" : ObjectId("6210fa8746bee3fcbd0ad066")
},
"__v" : 0
}
{
"_id" : ObjectId("6210fa7c46bee3fcbd0acc21"),
"book" : "https://wegotrip.com/en/barcelona-d1/the-dali-museum-in-figueres-p3/?SUB_ID=336264",
"address" : "Pujada del Castell, 43",
"countryName" : "Spain",
"cityName" : "Barcelona",
"location" : {
"lang" : 42.26829425831263,
"lat" : 2.95884132385254,
"country" : ObjectId("6210fa7746bee3fcbd0aca3e"),
"city" : ObjectId("6210fa7746bee3fcbd0aca3a"),
"location" : "Pujada del Castell, 43",
"_id" : ObjectId("6210fa7c46bee3fcbd0acc22")
},
"includes" : [
{
"value" : "Recommendations of places to visit to understand the life of Dali better",
"included" : true
},
{
"value" : "Skip-the-line ticket to Dali Theatre-Museum",
"included" : true
},
{
"value" : "Headphones — you should bring your own",
"included" : false
}
],
"price" : {
"priceConcession" : null,
"priceChild" : null,
"price" : 33,
"currency" : ObjectId("6210fa7746bee3fcbd0aca2f"),
"_id" : ObjectId("6210fa7c46bee3fcbd0acc23")
},
"detail" : {
"isPass" : false,
"features" : [
{
"key" : "audio_guide",
"value" : "Audio Guide"
}
],
"highlights" : [
"Discover Dali's surrealism starting with the building of the museum — it's definitely one of a kind",
"Inside the museum you'll find the most famous and controversial works of the artist",
"Our tour will provide you with insights and exiting facts about Dali's works"
],
"details" : [ ],
"images" : [
{
"id" : 6916,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/figueres-oleguer2/032b55c27bb2cd119bdc7fe6c4b86491.jpeg",
"full" : "https://app.wegotrip.com/media/store/3/figueres-oleguer2.jpeg"
},
{
"id" : 6915,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/sky-monument-statue-golden-museum-yellow-1156442-pxherecom/28c645449a9f45ec1e8ede7b7ffbe30f.jpg",
"full" : "https://app.wegotrip.com/media/store/3/sky-monument-statue-golden-museum-yellow-1156442-pxherecom.jpg"
},
{
"id" : 6914,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/architecture-window-museum-landmark-surrealism-catalonia-800928-pxherecom/43691ba6aecc2ee084c300c150e32a03.jpg",
"full" : "https://app.wegotrip.com/media/store/3/architecture-window-museum-landmark-surrealism-catalonia-800928-pxherecom.jpg"
},
{
"id" : 831,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/figueres-oleguers3k6yoz/b9c3093c79cf50e621e022706af59ad6.jpg",
"full" : "https://app.wegotrip.com/media/store/3/figueres-oleguers3k6yoz.jpg"
},
{
"id" : 832,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/shutterstock82210018/2a2450d4f75edf4549d36f2286b6f19b.jpg",
"full" : "https://app.wegotrip.com/media/store/3/shutterstock82210018.jpg"
},
{
"id" : 833,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/dali-museum-8983261920/aa0d93e475c7b7388bee88ff14f8d795.jpg",
"full" : "https://app.wegotrip.com/media/store/3/dali-museum-8983261920.jpg"
},
{
"id" : 834,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/shutterstock196896461/74fc427d0a27f0aa199ed24f4c51bcc5.jpg",
"full" : "https://app.wegotrip.com/media/store/3/shutterstock196896461.jpg"
}
],
"duration" : 2,
"_id" : ObjectId("6210fa7c46bee3fcbd0acc24")
},
"availability" : null,
"subcategory" : [
{
"id" : 3,
"title" : "Theme Tours",
"slug" : "theme-tours"
},
{
"id" : 1,
"title" : "Culture & History",
"slug" : "culture-and-history"
},
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"category" : [
{
"id" : 3,
"title" : "Theme Tours",
"slug" : "theme-tours"
},
{
"id" : 1,
"title" : "Culture & History",
"slug" : "culture-and-history"
},
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"type" : "Audio Guide",
"description" : "The Dalí Theatre and Museum is a museum of the artist Salvador Dalí in his home town of Figueres, in Catalonia, Spain. Dalí is buried there in a crypt below the stage. \r\n\r\nImmerse yourself in an exciting journey through the world of the genius of surrealism. Reveal the meaning of his ambiguous creations and learn the history of the artist's life. Enjoy the unique world of Dali in this excursion.",
"thumbnail" : "https://app.wegotrip.com/media/CACHE/images/store/001_Ispaniya_Figeras_Teatr-01/783c3a10c34eb40c29f14f704cd9c8d1.jpeg",
"name" : "The Dali Theatre-Museum: Skip-the-Line & Audio Tour",
"attractionDescription" : "",
"attractionName" : "Dali Theatre and Museum",
"attraction" : ObjectId("6210fa7c46bee3fcbd0acc15"),
"provider" : {
"rating" : {
"count" : 0,
"average" : null,
"_id" : ObjectId("6210fa7c46bee3fcbd0acc26")
},
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/001_Ispaniya_Figeras_Teatr-01/783c3a10c34eb40c29f14f704cd9c8d1.jpeg",
"slug" : "the-dali-museum-in-figueres",
"id" : "3",
"key" : "1",
"_id" : ObjectId("6210fa7c46bee3fcbd0acc25")
},
"__v" : 0
}
Both of the above have detail.duration set to 2 and as per query, these 2 should have each other considered as a deal and found in result docs, but query returns deals: [], an empty array. I'm unable to figure out the problem.
From $match (Restrictions)
The $match query syntax is identical to the read operation query syntax; i.e. $match does not accept raw aggregation expressions. To include aggregation expression in $match, use a $expr query expression.
And you need to use $$ to get the variable value.
let
To reference variables in pipeline stages, use the "$$" syntax.
Change the $match stage in the pipeline as:
{
$match: {
_id: {
$ne: "$$id"
},
$expr: {
$eq: [
"$detail.duration",
"$$duration"
]
}
}
}
Sample Mongo Playground
I have many collections. I have especially two types of collections:1. collections corresponding to the begin of the visualization of content in e-learning plateforme; 2. collections corresponding to the endof the visualization of this content. Here exemple of begin and end visualization collection:
Begin visualization:
"statement" : {
"actor" : {
"objectType" : "Agent",
"name" : "exemple1#gmail.com",
"mbox" : "mailto:exemple1#gmail.com"
},
"verb" : {
"id" : "http://adlnet.gov/expapi/verbs/launched",
"display" : {
"en" : "Launching the next piece of learning content",
}
},
"object" : {
"objectType" : "Activity",
"id" : "https://exemple1.com/activities/plannode=5857",
"definition" : {
"name" : {
"en" : "calculs",
},
"type" : "http://id.tincanapi.com/activitytype/legacy-learning-standar"
}
},
"context" : {
"platform" : "exemple",
"language" : "en",
},
"timestamp" : "2017-01-16T23:45:06+01:00",
"id" : "0d7c852d-f1bf-45be-8a25-aff286bf1c30",
"version" : "1.0.0"
},
End visualization:
"statement" : {
"actor" : {
"objectType" : "Agent",
"name" : "exemple1#gmail.com",
"mbox" : "mailto:exemple1#gmail.com"
},
"verb" : {
"id" : "http://adlnet.gov/expapi/verbs/terminated",
"display" : {
"en" : "Launching the next piece of learning content",
}
},
"object" : {
"objectType" : "Activity",
"id" : "https://exemple1.com/activities/plannode=5857",
"definition" : {
"name" : {
"en" : "calculs",
},
"type" : "http://id.tincanapi.com/activitytype/legacy-learning-standar"
}
},
"context" : {
"platform" : "exemple",
"language" : "en",
},
"timestamp" : "2017-01-16T23:45:06+01:00",
"id" : "0d7c852d-f1bf-45be-8a25-aff286bf1c30",
"version" : "1.0.0"
},
Now, what I want to do is to group theses collection by object.id and calculate the duration of the content visualization = timestamp (content end visualization) - timestamp (content begin visualization).
I try the following code but it does not work:
db.statements.aggregate([
{$match:{'statement.verb.id':{"$in":["http://adlnet.gov/expapi/verbs/launched", "http://adlnet.gov/expapi/verbs/terminated"]}}]},
{$group:{_id:{
objectid: "$statement.object.id",
learner: "$statement.actor.mbox"
},
duration : {$subtract: ["$timestamp", "$timestamp"}]}}
}
}
])
Can any help me to calculate duration between theses two collections (duration need to be caculated based on two fields having the same name :timestamp.
You can use below aggregation.
db.statements.aggregate([
{"$match":{"statement.verb.id":{"$in":["http://adlnet.gov/expapi/verbs/launched","http://adlnet.gov/expapi/verbs/terminated"]}}},
{"$group":{
"_id":{"objectid":"$statement.object.id","learner":"$statement.actor.mbox"},
"first":{"$first":"$timestamp"},"second":{"$last":"$timestamp"}
}},
{"$addFields":{"duration":{"$abs":{"$subtract":["$first","$second"]}}}}
])
I am a newbie in druid. Trying to load a very simple data in JSON format to druid. The data contains just one dimension, one metric and timestamp. I have been successfully able to load data to druid for a different dataset but somehow I am getting errors for this dataset.
This is my index file :
{
"type" : "index",
"spec" : {
"dataSchema" : {
"dataSource" : "datatemplate",
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"dimensionsSpec" : {
"dimensions" : [
"Loc"
]
},
"timestampSpec" : {
"format" : "auto",
"column" : "Timestamp"
}
}
},
"metricsSpec" : [{"name" : "Qty","type" : "doubleSum","fieldName" : "Qty"}],
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "day",
"queryGranularity" : "none",
"intervals" : ["2016-01-01T00:00:00Z/2030-06-30T00:00:00Z"],
"rollup" : true
}
},
"ioConfig" : {
"type" : "index",
"firehose" : {
"type" : "local",
"baseDir" : "datatemplate/",
"filter" : "datatemplate.json"
},
"appendToExisting" : false
},
"tuningConfig" : {
"type" : "index",
"targetPartitionSize" : 10000000,
"maxRowsInMemory" : 40000,
"forceExtendableShardSpecs" : true
}
}
}
Also here is my dataset in JSON format:
{"Loc": "A", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "A", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "B", "Qty": "2", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "B", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
i am trying to load test MongoDB using Jmeter, i am using JSR223Sampler using Groovy, i am able to connect but for some reason insert part is not working
i need to insert below :
"cart" : {
"schema" : "http://dell.com/dcp/schemas/cart/3.0.0#",
"_id" : "s5ChQonvAUGKM6s2Yq8Z31",
"createdOn" : {
"DateTime" : ISODate("2018-03-07T06:54:01.242Z"),
"Ticks" : NumberLong(636560222412422269),
"Offset" : 330
},
"lastModifiedOn" : {
"DateTime" : ISODate("2018-03-07T06:54:01.245Z"),
"Ticks" : NumberLong(636560222412452266),
"Offset" : 330
},
"expiresOn" : {
"DateTime" : ISODate("2019-04-10T08:21:43.984Z"),
"Ticks" : NumberLong(636904813039840000),
"Offset" : 0
},
"commerceContext" : {
"region" : "us",
"country" : "US",
"language" : "en",
"currency" : "USD",
"segment" : "bsd",
"customerSet" : "rc1005388",
"accessGroup" : "DSA",
"companyNumber" : "08",
"businessUnitId" : "11",
"classCode" : "string",
"sourceApplicationName" : "OLRGCOMM"
},
"items" : [],
"shipments" : [],
"price" : {
"couponCodes" : []
},
"references" : [
{
"referenceId" : "8TOOOrdEJUeiGPTqWA226Q",
"referenceType" : "New Cart",
"referencedOn" : {
"DateTime" : ISODate("2018-03-07T06:54:01.239Z"),
"Ticks" : NumberLong(636560222412392112),
"Offset" : 330
},
"referenceCreatedBy" : "DCQO",
"targetSystem" : "DSP",
"target" : "string"
}
],
"validation" : {},
"properties" : {}
}
})
First of all you need to get MongoDB connection from the MongoDB Source Config, it can be done as follows:
import com.mongodb.DB;
import org.apache.jmeter.protocol.mongodb.config.MongoDBHolder;
DB db = MongoDBHolder.getDBFromSource("mongodb source name", "database name");
Next you just need to call DBCollection.insert() function like:
db.getCollection('your collection name').insert(your DBObject payload here)
More information: How to Load Test MongoDB with JMeter
The scenario is i want to setup a stock quote server and save the quote data into druid.
my requirement is to get the latest price of all the stock by a query.
But i notice that the query interface of druid such as time series only work on metrics filed ,not the dimension fields.
so i consider to make the price filed one of the metrics,but no need to aggregated.
how can i do it?
Any suggestions?
here is my tranquility config file.
{
"dataSources" : {
"stock-index-topic" : {
"spec" : {
"dataSchema" : {
"dataSource" : "stock-index-topic",
"parser" : {
"type" : "string",
"parseSpec" : {
"timestampSpec" : {
"column" : "timestamp",
"format" : "auto"
},
"dimensionsSpec" : {
"dimensions" : ["code","name","acronym","market","tradeVolume","totalValueTraded","preClosePx","openPrice","highPrice","lowPrice","latestPrice","closePx"],
"dimensionExclusions" : [
"timestamp",
"value"
]
},
"format" : "json"
}
},
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "HOUR",
"queryGranularity" : "SECOND",
},
"metricsSpec" : [
{
"name" : "firstPrice",
"type" : "doubleFirst",
"fieldName" : "tradePrice"
},{
"name" : "lastPrice",
"type" : "doubleLast",
"fieldName" : "tradePrice"
}, {
"name" : "minPrice",
"type" : "doubleMin",
"fieldName" : "tradePrice"
}, {
"name" : "maxPrice",
"type" : "doubleMax",
"fieldName" : "tradePrice"
}
]
},
"ioConfig" : {
"type" : "realtime"
},
"tuningConfig" : {
"type" : "realtime",
"maxRowsInMemory" : "100000",
"intermediatePersistPeriod" : "PT10M",
"windowPeriod" : "PT10M"
}
},
"properties" : {
"task.partitions" : "1",
"task.replicants" : "1",
"topicPattern" : "stock-index-topic"
}
}
},
"properties" : {
"zookeeper.connect" : "localhost:2181",
"druid.discovery.curator.path" : "/druid/discovery",
"druid.selectors.indexing.serviceName" : "druid/overlord",
"commit.periodMillis" : "15000",
"consumer.numThreads" : "2",
"kafka.zookeeper.connect" : "localhost:2181",
"kafka.group.id" : "tranquility-kafka"
}
}
I think you should make [latest_price] as new numeric dimension, it would be much better from performance and querying standpoint considering how druid works.
Metrics and meant to perform aggregation functions as core so won't be helpful in your use case.