Posts Tagged ‘search’

Search DynamoDB tables using Elasticsearch/Kibana via Logstash plugin

Written by mannem on December 7, 2015. Posted in Dynamo DB, Elasticsearch

The Logstash plugin for Amazon DynamoDB gives you a nearly real-time view of the data in your DynamoDB table. The Logstash plugin for DynamoDB uses DynamoDB Streams to parse and output data as it is added to a DynamoDB table. After you install and activate the Logstash plugin for DynamoDB, it scans the data in the specified table, and then it starts consuming your updates using Streams and then outputs them to Elasticsearch, or a Logstash output of your choice.

Logstash is a data pipeline service that processes data, parses data, and then outputs it to a selected location in a selected format. Elasticsearch is a distributed, full-text search server. For more information about Logstash and Elasticsearch, go to https://www.elastic.co/products/elasticsearch.

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. aws.amazon.com/elasticsearch-service/

This article includes an installation guide that is tested on EC2 instance where all the per-requsites are installed and Logstash is configured so that it connects to Amazon ElasticSearch using the input/Output plugins to start indexing records from DynamoDB. Click here to get all the instructions :
https://github.com/mannem/logstash-input-dynamodb

Logstash configuration:

bin/logstash -e 'input { 
    dynamodb{endpoint => "dynamodb.us-west-2.amazonaws.com" 
    streams_endpoint => "streams.dynamodb.us-west-2.amazonaws.com" 
    view_type => "new_and_old_images" 
    aws_access_key_id => "<access_key_id>" 
    aws_secret_access_key => "<secret_key>" 
    table_name => "DynamoDBTableName"} } 
output { 
    elasticsearch 
        { host => "search-imdb-pgjs6t52gf3m2c5xkxpragmaer.us-west-2.es.amazonaws.com" port => "443" protocol => "http" ssl => "true"} 
        stdout { } }'

bin/logstash -e 'input {

dynamodb{endpoint => "dynamodb.us-west-2.amazonaws.com"

streams_endpoint => "streams.dynamodb.us-west-2.amazonaws.com"

view_type => "new_and_old_images"

aws_access_key_id => "<access_key_id>"

aws_secret_access_key => "<secret_key>"

table_name => "DynamoDBTableName"} }

output {

elasticsearch

{ host => "search-imdb-pgjs6t52gf3m2c5xkxpragmaer.us-west-2.es.amazonaws.com" port => "443" protocol => "http" ssl => "true"}

stdout { } }'

After running a similar command on the shell, Logstash should successfully start and begin indexing the records from your DynamoDB table.

Throughput considerations:

Kibana:

References:
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Tools.DynamoDBLogstash.html

https://aws.amazon.com/blogs/aws/new-logstash-plugin-search-dynamodb-content-using-elasticsearch/

https://github.com/awslabs/logstash-input-dynamodb

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UK police data

Written by mannem on November 28, 2015. Posted in Data-sets

data.police.uk provides a complete snapshot of crime, outcome, and stop and search data, as held by the Home Office at a particular point in history.

The actual data is located on S3 under bucket policeuk-data and can be accessed with a URL similar to
https://policeuk-data.s3.amazonaws.com/archive/20yy-mm.zip , (Where yy,mm are year and month that can be replaced accordingly)

The Structure:

All files are organized by YEAR and MONTH.

Each month has a ZIP file with CSV files inside the zip file.

The January 2015 file 2015-01.zip contains data for all months starting from 2010-12 to 2015-01

[hadoop@ip-172-31-24-128 mnt]$ wget https://policeuk-data.s3.amazonaws.com/archive/2015-01.zip
[hadoop@ip-172-31-24-128 mnt]$ unzip 2015-01.zip
[hadoop@ip-172-31-24-128 mnt]$ ls

2010-12  2011-02  2011-04  2011-06  2011-08  2011-10  2011-12  2012-02  2012-04  2012-06  2012-08  2012-10  2012-12  2013-02  2013-04  2013-06  2013-08  2013-10  2013-12  2014-02  2014-04  2014-06  2014-08  2014-10  2014-12  2015-01.zip
2011-01  2011-03  2011-05  2011-07  2011-09  2011-11  2012-01  2012-03  2012-05  2012-07  2012-09  2012-11  2013-01  2013-03  2013-05  2013-07  2013-09  2013-11  2014-01  2014-03  2014-05  2014-07  2014-09  2014-11  2015-01  

[hadoop@ip-172-31-24-128 mnt]$ cd 2011-04

##Example file-name structure##

2011-04-avon-and-somerset-street.csv  
2011-04-cumbria-street.csv 
2011-04-gloucestershire-street.csv

[hadoop@ip-172-31-24-128 mnt]$ wget https://policeuk-data.s3.amazonaws.com/archive/2015-01.zip

[hadoop@ip-172-31-24-128 mnt]$ unzip 2015-01.zip

[hadoop@ip-172-31-24-128 mnt]$ ls

2010-12 2011-02 2011-04 2011-06 2011-08 2011-10 2011-12 2012-02 2012-04 2012-06 2012-08 2012-10 2012-12 2013-02 2013-04 2013-06 2013-08 2013-10 2013-12 2014-02 2014-04 2014-06 2014-08 2014-10 2014-12 2015-01.zip

2011-01 2011-03 2011-05 2011-07 2011-09 2011-11 2012-01 2012-03 2012-05 2012-07 2012-09 2012-11 2013-01 2013-03 2013-05 2013-07 2013-09 2013-11 2014-01 2014-03 2014-05 2014-07 2014-09 2014-11 2015-01

[hadoop@ip-172-31-24-128 mnt]$ cd 2011-04

##Example file-name structure##

2011-04-avon-and-somerset-street.csv

2011-04-cumbria-street.csv

2011-04-gloucestershire-street.csv

Contents of a sample file:

[hadoop@ip-172-31-24-128 2011-04]$ head -6 2011-04-avon-and-somerset-street.csv

Crime ID,Month,Reported by,Falls within,Longitude,Latitude,Location,LSOA code,LSOA name,Crime type,Last outcome category,Context
,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,1.04177957823,52.0373951227,On or near The Street,E01029877,Babergh 005A,Other crime,,
,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.49436551493,51.4181694243,On or near Keynsham Road,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,
,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.49436551493,51.4181694243,On or near Keynsham Road,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,
,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.50993031962,51.4108734058,On or near Ludlow Close,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,
,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.5119272035,51.4094350194,On or near Harlech Close,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,

[hadoop@ip-172-31-24-128 2011-04]$ head -6 2011-04-avon-and-somerset-street.csv

Crime ID,Month,Reported by,Falls within,Longitude,Latitude,Location,LSOA code,LSOA name,Crime type,Last outcome category,Context

,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,1.04177957823,52.0373951227,On or near The Street,E01029877,Babergh 005A,Other crime,,

,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.49436551493,51.4181694243,On or near Keynsham Road,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,

,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.50993031962,51.4108734058,On or near Ludlow Close,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,

,2011-04,Avon and Somerset Constabulary,Avon and Somerset Constabulary,-2.5119272035,51.4094350194,On or near Harlech Close,E01014399,Bath and North East Somerset 001A,Anti-social behaviour,,

The columns in the CSV files are as follows:

Field	Meaning
Reported by	The force that provided the data about the crime.
Falls within	At present, also the force that provided the data about the crime. This is currently being looked into and is likely to change in the near future.
Longitude and Latitude	The anonymised coordinates of the crime. See Location Anonymisation for more information.
LSOA code and LSOA name	References to the Lower Layer Super Output Area that the anonymised point falls into, according to the LSOA boundaries provided by the Office for National Statistics.
Crime type	One of the crime types listed in the Police.UK FAQ.
Last outcome category	A reference to whichever of the outcomes associated with the crime occurred most recently. For example, this crime's 'Last outcome category' would be 'Offender fined'.
Context	A field provided for forces to provide additional human-readable data about individual crimes. Currently, for newly added CSVs, this is always empty.

The Challenge:

The given data contains some inbuilt errors in the Easting, Northing , Crime_type fields.
Data is in CSV format with commas in data itself.
The CSV files contains column HEADERS i.e the first record in a CSV file is a header record containing column (field) names

What is unique ?

The same data can be accessed over API. The API is implemented as a standard JSON web service using HTTP GET and POST requests. Full request and response examples are provided in the documentation.
The response contains ID of the crime which may be unique and can used as HashKey while storing and Querying in NoSql.
The JSON file can also be used for as index document for Elasticsearch.

Example API call via REST: https://data.police.uk/api/crimes-street/all-crime?lat=52.629729&lng=-1.131592&date=2013-01

Example Responce:

[
    {
        category: "anti-social-behaviour",
        persistent_id: "",
        location_type: "Force",
        location_subtype: "",
        id: 20599642,
        location: {
            latitude: "52.6269479",
            longitude: "-1.1121716"
            street: {
                id: 882380,
                name: "On or near Cedar Road"
            },
        },
        context: "",
        month: "2013-01",
        outcome_status: null
    },
    {
        category: "burglary",
        persistent_id: "aebd220e869a235ba92cde43f7e0df29001573b3df1b094bb952820b2b8f44b0",
        location_type: "Force",
        location_subtype: "",
        id: 20604632,
        location: {
            latitude: "52.6271606",
            longitude: "-1.1485111"
            street: {
                id: 882208,
                name: "On or near Norman Street"
            },
        },
        context: "",
        month: "2013-01",
        outcome_status: {
            category: "Under investigation",
            date: "2013-01"
        }
    },
    ...
]

[

{

category: "anti-social-behaviour",

persistent_id: "",

location_type: "Force",

location_subtype: "",

id: 20599642,

location: {

latitude: "52.6269479",

longitude: "-1.1121716"

street: {

id: 882380,

name: "On or near Cedar Road"

context: "",

month: "2013-01",

outcome_status: null

{

category: "burglary",

persistent_id: "aebd220e869a235ba92cde43f7e0df29001573b3df1b094bb952820b2b8f44b0",

location_type: "Force",

location_subtype: "",

id: 20604632,

location: {

latitude: "52.6271606",

longitude: "-1.1485111"

street: {

id: 882208,

name: "On or near Norman Street"

context: "",

month: "2013-01",

outcome_status: {

category: "Under investigation",

date: "2013-01"

}

...

]

More details on API access can be found here: data.police.uk/docs/

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