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Multiple conditions in MongoDB group aggregation

I have the documents in the below format. I would like to count production deployments from the collection. Mongo Playground link is also attached here.
A document is considered as a production deployment when ANY of the following is true.
deployments.steps.environments.name contains Production OR Prod OR Prd
deployments.steps.stages contains Production OR Prod OR Prd
Any help on incorporating the above condition into the query to calculate TotalCount, SucceededCount etc. please?
Update: I have updated the query here. Am I right?
[
{
"productId": "613a5114b24382575e7e7668",
"deployments": [
{
"projectId": "613a5083b24382575e7e765f",
"title": "Release-4",
"steps": [
{
"releaseId": 8168,
"title": "UnitTest-Release-004",
"environments": [
{
"envId": 61553,
"name": "Production"
}
],
"stages": []
},
{
"releaseId": 7376,
"title": "UnitTest-Release-005",
"environments": [],
"stages": [
"Prod"
]
}
]
}
],
"createdAt": ISODate("2021-11-03T07:55:57.486Z"),
"deploymentStatus": "Succeeded",
"completedAt": ISODate("2021-11-03T07:29:00.907Z"),
"startedAt": ISODate("2021-11-03T07:26:53.761Z"),
},
{
"productId": "613a5114b24382575e7e7668",
"deployments": [
{
"projectId": "613a5083b24382575e7e765f",
"title": "Release-4",
"steps": [
{
"releaseId": 8168,
"title": "UnitTest-Release-004",
"environments": [
{
"envId": 61553,
"name": "Production"
}
],
"stages": []
},
{
"releaseId": 7376,
"title": "UnitTest-Release-005",
"environments": [],
"stages": []
}
]
}
],
"createdAt": ISODate("2021-11-03T07:55:57.486Z"),
"deploymentStatus": "Failed",
"completedAt": ISODate("2021-11-03T07:29:00.907Z"),
"startedAt": ISODate("2021-11-03T07:26:53.761Z"),
}
]
Here is the query.
db.collection.aggregate([
{
$match: {
$and: [
{
"createdAt": {
$gte: ISODate("2020-11-01")
}
},
{
"createdAt": {
$lte: ISODate("2021-11-17")
}
}
],
$or: [
{
"deployments.steps.environments.name": {
"$in": [
"Prd",
"Prod",
"Production"
]
}
},
{
"deployments.steps.stages.name": {
"$in": [
"Prd",
"Prod",
"Production"
]
}
}
]
}
},
{
$group: {
_id: "$productId",
TotalCount: {
$sum: 1
},
SucceededCount: {
$sum: {
"$cond": {
"if": {
$eq: [
"$deploymentStatus",
"Succeeded"
]
},
"then": 1,
"else": 0
}
}
},
FailedCount: {
$sum: {
"$cond": {
"if": {
$eq: [
"$deploymentStatus",
"Failed"
]
},
"then": 1,
"else": 0
}
}
},
CancelledCount: {
$sum: {
"$cond": {
"if": {
$eq: [
"$deploymentStatus",
"Cancelled"
]
},
"then": 1,
"else": 0
}
}
},
NotStartedCount: {
$sum: {
"$cond": {
"if": {
$eq: [
"$deploymentStatus",
"NotStarted"
]
},
"then": 1,
"else": 0
}
}
}
}
}
])
MongoPlayground

$cond - if - then - else = without quotes

How can I get top 10 results from Elastic search using rest queries with the max hit documents?

I want to get the top 10 documents\rows where these rows should be ordered with most recently and multiple times accessed docs on top.
here's what I tried:
{
"size": 10,
"query": {
"range": {
"searchDate": {
"gte": "DateTime.Now.AddDays(-30)"
},
"aggs": {
"top_tags": {
"terms": {
"field": "searchDate"
},
"aggs": {
"top_otf_hits": {
"top_hits": {
"sort": [
{
"searchDate": {
"order": "desc"
}
}
],
"_source": {
"includes": [
"origin",
"destination"
]
},
"size": 1
}
}
}
}
}
}
}
}

{
"from": 0,
"size": 0,
"sort": [{
"searchDate": "desc"
}, "_score"],
"query": {
"range": {
"searchDate": {
"gte": "2018-02-28",
"lte": "2018-03-05",
"format": "yyyy-MM-dd"
}
}
},
"aggs": {
"frequent": {
"terms": {
"field": "tripKey"
},
"aggs": {
"top_otf_hits": {
"top_hits": {
"sort": [{
"searchDate": {
"order": "desc"
}
}],
"_source": {
"include": ["*"]
},
"size": 1
}
}
}
}
}
}

nested aggregations filtering

I have my document indexed with locations nested,
{
"name": "name 1",
"locations": [
{
"region": "region1",
"city": "city1",
"suburb": "suburb1"
},
{
"region": "region2",
"city": "city2",
"suburb": "suburb2"
},
{
region": "region1",
"city": "city5",
"suburb": "suburb4"
}]
}
I have my query as
{
"query": {
"nested": {
"path": "locations",
"query": {
"bool": {
"must": [
{
"term": {
"locations.region.keyword": {
"value": "region1"
}
}
}
]
}
}
}
}
}
I want aggregate only cities for region1. I've tried nested aggregations, nested with filter aggregations, and with reverse nested. Nothing seems to work. The problem is since documents come with other regions in the locations collection, everything get aggregated even cities that don't belong to region1.
any ideas?
EDIT:
Mappings:
"my_index": {
"mappings": {
"my_type": {
"properties": {
"locations": {
"type": "nested",
"properties": {
"city": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"region": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"suburb": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
Query:
{
"size": 0,
"query": {
"nested": {
"query": {
"bool": {
"must": [
{
"terms": {
"locations.region.keyword": [
"region1"
]
}
}
]
}
},
"path": "locations"
}
},
"aggs": {
"City": {
"nested": {
"path": "locations"
},
"aggs": {
"City": {
"terms": {
"field": "locations.city.keyword",
"size": 100,
"order": [
{
"_count": "desc"
},
{
"_term": "asc"
}
]
},
"aggs": {
"City": {
"reverse_nested": {}
}
}
}
}
}
}
}

Assuming your mapping is correct as per your usage in the query
You may use the below mentioned query to use filters in your aggregation.
{
"query": {
"match_all": {}
},
"aggs": {
"city_agg": {
"nested": {
"path": "locations"
},
"aggs": {
"filter_locations_regions": {
"filter": {
"term": {
"locations.region.keyword": "region1"
}
},
"aggs": {
"cities_in_region_agg": {
"terms": {
"field": "locations.city.keyword",
"size": 100,
"order": [{
"_count": "desc"
},
{
"_term": "asc"
}]
}
}
}
}
}
}
}
}

Elasticsearch NEST 5.x Koelnerphonetic not matching

UPDATE
I changed the approach of the question
I'm trying to apply phonetic search with koelner phonetics and also ngram is used.
Index configuration I'm using:
{
"testnew": {
"settings": {
"index": {
"number_of_shards": "5",
"provided_name": "testnew",
"creation_date": "1489672932033",
"analysis": {
"filter": {
"koelnerPhonetik": {
"replace": "false",
"type": "phonetic",
"encoder": "koelnerphonetik"
}
},
"analyzer": {
"koelnerPhonetik": {
"type": "custom",
"tokenizer": "koelnerPhonetik"
},
"ngram_analyzer": {
"type": "custom",
"tokenizer": "ngram_tokenizer"
}
},
"tokenizer": {
"koelnerPhonetik": {
"type": "standard"
},
"ngram_tokenizer": {
"token_chars": [
"letter",
"digit",
"punctuation",
"symbol"
],
"min_gram": "2",
"type": "ngram",
"max_gram": "20"
}
}
},
...
}
}
}
}
}
Ive got one document that looks like this:
{
"_index": "testnew",
"_type": "person",
"_id": "3",
"_score": 1,
"_source": {
"name": "Can",
"fields": {
"phonetic": {
"type": "string",
"analyzer": "koelnerPhonetik"
}
}
}
It is mapped like this:
GET testnew/person/_mapping
"name": {
"type": "text",
"analyzer": "koelnerPhonetik"
}
Why cant I find 'Can' by searching for 'Kan' in this query?
GET testnew/person/_search
{
"query": {
"match": {
"name.phonetic": {
"query": "Kan"
}
}
}
}

Deploy IIS Website with CloudFormation template

I have a Visual Studio (C#) deployment package (.zip) that I have pushed up to my S3 storage.
I want to run my CloudFormation script and have it create an instance of an IIS server (I have the script for this) and then deploy the Visual Studio web site to it from the S3 storage.
I'm looking for an example of the temple json that would do that

I have a template that does something similar to what you are looking for. Below is a template that I use. It may be more than you need, because it has an auto scaling group, but it will get you started. Basically, you need the IAM user to interact with cloud formation. The script in the UserData starts cf-init, which does the stuff in the metadata section.
{
"AWSTemplateFormatVersion": "2010-09-09",
"Description": "Autoscaling for .net Web application.",
"Parameters": {
"InstanceType": {
"Description": "WebServer EC2 instance type",
"Type": "String",
"Default": "m1.small",
"AllowedValues": [
"t1.micro",
"m1.small",
"m1.medium",
"m1.large",
"m1.xlarge",
"m2.xlarge",
"m2.2xlarge",
"m2.4xlarge",
"c1.medium",
"c1.xlarge",
"cc1.4xlarge",
"cc2.8xlarge",
"cg1.4xlarge"
],
"ConstraintDescription": "Must be a valid EC2 instance type."
},
"IamInstanceProfile": {
"Description": "Name of IAM Profile that will be used by instances to access AWS Services",
"Type": "String",
"Default": "YourProfileName"
},
"KeyName": {
"Description": "The EC2 Key Pair to allow access to the instances",
"Default": "yourkeypair",
"Type": "String"
},
"SpotPriceBid": {
"Description": "Max bid price of spot instances",
"Type": "String",
"Default": ".06"
},
"DeployS3Bucket": {
"Description": "The S3 Bucket where deploy files are stored",
"Type": "String",
"Default": "ApplicationBucket"
},
"DeployWebS3Key": {
"Description": "The zip file that holds the website",
"Type": "String",
"Default": "Application.zip"
},
"DNSHostedZone": {
"Type": "String",
"Default": "example.com.",
"AllowedPattern": "^[\\w\\.]*\\.$",
"ConstraintDescription": "DNSDomain must end with '.'"
},
"DNSSubDomain": {
"Type": "String",
"Default": "yoursubdomain"
}
},
"Mappings": {
"RegionToAMIMap": {
"us-east-1": {
"AMI": "ami-1234567"
}
}
},
"Resources": {
"IAMUser": {
"Type": "AWS::IAM::User",
"Properties": {
"Path": "/",
"Policies": [{
"PolicyName": "webuser",
"PolicyDocument": {
"Statement": [{
"Sid": "Stmt1353842250430",
"Action": [
"s3:GetObject"
],
"Effect": "Allow",
"Resource": [
"arn:aws:s3:::HelgaDogWeb*/*"
]
}, {
"Sid": "Stmt1353842327065",
"Action": [
"cloudformation:DescribeStackResource"
],
"Effect": "Allow",
"Resource": [
"*"
]
}
]
}
}
]
}
},
"IAMUserAccessKey": {
"Type": "AWS::IAM::AccessKey",
"Properties": {
"UserName": {
"Ref": "IAMUser"
}
}
},
"WebSecurityGroup": {
"Type": "AWS::EC2::SecurityGroup",
"Properties": {
"GroupDescription": "Enable Access From Elastic Load Balancer.",
"SecurityGroupIngress": [{
"IpProtocol": "tcp",
"FromPort": "443",
"ToPort": "443",
"SourceSecurityGroupOwnerId": {
"Fn::GetAtt": [
"WebLoadBalancer",
"SourceSecurityGroup.OwnerAlias"
]
},
"SourceSecurityGroupName": {
"Fn::GetAtt": [
"WebLoadBalancer",
"SourceSecurityGroup.GroupName"
]
}
}, {
"IpProtocol": "tcp",
"FromPort": "80",
"ToPort": "80",
"SourceSecurityGroupOwnerId": {
"Fn::GetAtt": [
"WebLoadBalancer",
"SourceSecurityGroup.OwnerAlias"
]
},
"SourceSecurityGroupName": {
"Fn::GetAtt": [
"WebLoadBalancer",
"SourceSecurityGroup.GroupName"
]
}
}
]
}
},
"WebLoadBalancer": {
"Type": "AWS::ElasticLoadBalancing::LoadBalancer",
"Properties": {
"Listeners": [{
"InstancePort": "443",
"InstanceProtocol": "HTTPS",
"LoadBalancerPort": "443",
"Protocol": "HTTPS",
"SSLCertificateId": "arn:aws:iam::123456789101:server-certificate/example"
}
],
"AvailabilityZones": {
"Fn::GetAZs": ""
},
"HealthCheck": {
"HealthyThreshold": "3",
"Interval": "30",
"Target": "HTTP:80/healthcheck.aspx",
"Timeout": 8,
"UnhealthyThreshold": "2"
}
}
},
"WebAsSpotLaunchConfiguration": {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Metadata": {
"AWS::CloudFormation::Init": {
"config": {
"sources": {
"C:\\inetpub\\wwwroot": {
"Fn::Join": [
"/",
[
"http://s3.amazonaws.com", {
"Ref": "DeployS3Bucket"
}, {
"Ref": "DeployWebS3Key"
}
]
]
}
},
"commands": {
"1-set-appPool-identity": {
"command": "C:\\Windows\\System32\\inetsrv\\appcmd set config /section:applicationPools /[name='DefaultAppPool'].processModel.identityType:LocalSystem",
"waitAfterCompletion": "0"
},
"2-add-http-binding": {
"command": "C:\\Windows\\System32\\inetsrv\\appcmd set site /site.name:\"Default Web Site\" /+bindings.[protocol='http',bindingInformation='*:80:']",
"waitAfterCompletion": "0"
}
}
}
},
"AWS::CloudFormation::Authentication": {
"S3AccessCreds": {
"type": "S3",
"accessKeyId": {
"Ref": "IAMUserAccessKey"
},
"secretKey": {
"Fn::GetAtt": [
"IAMUserAccessKey",
"SecretAccessKey"
]
},
"buckets": [{
"Ref": "DeployS3Bucket"
}
]
}
}
},
"Properties": {
"KeyName": {
"Ref": "KeyName"
},
"ImageId": {
"Fn::FindInMap": [
"RegionToAMIMap", {
"Ref": "AWS::Region"
},
"AMI"
]
},
"IamInstanceProfile": {
"Ref": "IamInstanceProfile"
},
"SecurityGroups": [{
"Ref": "WebSecurityGroup"
}
],
"InstanceType": {
"Ref": "InstanceType"
},
"SpotPrice": {
"Ref": "SpotPriceBid"
},
"UserData": {
"Fn::Base64": {
"Fn::Join": [
"",
[
"<script>\n",
"\"C:\\Program Files (x86)\\Amazon\\cfn-bootstrap\\cfn-init.exe\" -v -s ", {
"Ref": "AWS::StackName"
},
" -r WebAsSpotLaunchConfiguration ",
" --access-key ", {
"Ref": "IAMUserAccessKey"
},
" --secret-key ", {
"Fn::GetAtt": [
"IAMUserAccessKey",
"SecretAccessKey"
]
},
"\n",
"</script>"
]
]
}
}
}
},
"WebAsSpotGroup": {
"Type": "AWS::AutoScaling::AutoScalingGroup",
"Properties": {
"AvailabilityZones": {
"Fn::GetAZs": ""
},
"HealthCheckGracePeriod": "120",
"HealthCheckType": "EC2",
"LaunchConfigurationName": {
"Ref": "WebAsSpotLaunchConfiguration"
},
"LoadBalancerNames": [{
"Ref": "WebLoadBalancer"
}
],
"MaxSize": "20",
"MinSize": "1",
"DesiredCapacity": "1"
}
},
"WebAsSpotScaleUpPolicy": {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "PercentChangeInCapacity",
"AutoScalingGroupName": {
"Ref": "WebAsSpotGroup"
},
"Cooldown": "420",
"ScalingAdjustment": "200"
}
},
"WebAsSpotScaleDownPolicy": {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"AutoScalingGroupName": {
"Ref": "WebAsSpotGroup"
},
"Cooldown": "60",
"ScalingAdjustment": "-1"
}
},
"WebAsSpotScaleUpAlarm": {
"Type": "AWS::CloudWatch::Alarm",
"Properties": {
"MetricName": "CPUUtilization",
"Namespace": "AWS/EC2",
"Statistic": "Average",
"Period": "60",
"EvaluationPeriods": "1",
"Threshold": "75",
"AlarmActions": [{
"Ref": "WebAsSpotScaleUpPolicy"
}
],
"Dimensions": [{
"Name": "AutoScalingGroupName",
"Value": {
"Ref": "WebAsSpotGroup"
}
}
],
"ComparisonOperator": "GreaterThanThreshold"
}
},
"WebAsSpotScaleDownAlarm": {
"Type": "AWS::CloudWatch::Alarm",
"Properties": {
"MetricName": "CPUUtilization",
"Namespace": "AWS/EC2",
"Statistic": "Average",
"Period": "60",
"EvaluationPeriods": "2",
"Threshold": "50",
"AlarmActions": [{
"Ref": "WebAsSpotScaleDownPolicy"
}
],
"Dimensions": [{
"Name": "AutoScalingGroupName",
"Value": {
"Ref": "WebAsSpotGroup"
}
}
],
"ComparisonOperator": "LessThanThreshold"
}
},
"DNSRecord": {
"Type": "AWS::Route53::RecordSet",
"Properties": {
"HostedZoneName": {
"Ref": "DNSHostedZone"
},
"Comment": "VPN Host. Created by Cloud Formation.",
"Name": {
"Fn::Join": [
".",
[{
"Ref": "DNSSubDomain"
}, {
"Ref": "DNSHostedZone"
}
]
]
},
"Type": "CNAME",
"TTL": "150",
"ResourceRecords": [{
"Fn::GetAtt": [
"WebLoadBalancer",
"CanonicalHostedZoneName"
]
}
]
},
"DependsOn": "WebLoadBalancer"
}
},
"Outputs": {}
}

I havent tried it myself, but this post, on the AWS site, Using Amazon CloudFront with ASP.NET Apps maybe somewhere to start.