SimplexSpatial

SimplexSpatial is a GeoSpatial server, focuses on distributed data storage and algorithms execution. It is a distributed, horizontally scalable and fault-tolerant system based in AKKA, following the four pillars of The Reactive Manifesto: Responsive, Resilient, Elastic and Message Driven.

Project status

The project is still in a really early state, so pretty sure a lot of changes will be done in the near future.

At the moment, this is the list of features implemented:

Technologies

The current implementation uses AKKA as Actor Model toolkit and Scala as programming language.

Akka-http + spray json to implement the RestFul entry point.
Akka gRPC to implement the gRPC entry point.
Akka Cluster / Sharding to distribute data and computation.
Akka persistence to implement a CQRS model.

Launch (Docker Compose Demo)

Because the early state of the project, there are not deployables packages to download, but there is a Docker Repository with the latest SNAPSHOT at Simplexspatial Docker Repository

You can use the docker-compose.yml in the folder doc/demo/docker-compose that will start an environment with:

Cassandra
Simplexspatial

If you have Docker and Docker Compose installed in your system, the simplest way to run it is [checking out](Checkout the project) the project and executing docker-compose up from the folder doc/demo/docker-compose.

There is a more detailed documentation at the Demo with Docker Compose section.

Builing

Tooling to build the artifact

Java 8: The server has been tested with Java 8, but it should work with newer versions as well.
Sbt: It is the building tools used, so you need to install it in your system. The last version is always fine.

Checkout the project

Clone the last version from the master and move into the new folder. Master will always contain the last stable version.

git clone https://github.com/simplexspatial/simplexspatial.git
cd simplexspatial

Packaging

The project uses sbt and sbt-native-packager to generate the artifact:

sbt clean universal:packageZipTarball

The previous step generated a file called core/target/universal/simplexspatial-core-0.0.1-SNAPSHOT.tgz. This file contains all the necessary stuff to start a new node.

Deploying

Uncompress the previous generated file into a folder. From that folder, you will be able to start new instances of the server. In this example, we will use the home ~ folder. This is only as example.

tar -xvf core/target/universal/simplexspatial-core-0.0.1-SNAPSHOT.tgz -C ~

Next, let's move into the new folder. From this point, we will use the new folder as root for all commands.

cd ~/simplexspatial-core-0.0.1-SNAPSHOT

The new folder contains the follow structure:

.
├── bin
│   ├── simplexspatial-core
│   └── simplexspatial-core.bat
├── conf
│   ├── application-akka-commons.conf
│   ├── application-cassandra.conf
│   ├── application.conf
│   ├── application.ini
│   ├── application-postgres.conf
│   ├── application-simplexspatial.conf
│   └── logback.xml
├── jetty-alpn-agent
│   └── jetty-alpn-agent-2.0.9.jar
└── lib
    └──  A lot of jar files ;)

Configuring

Simplexspatial is using lightbend config as configuration framework, like Akka uses. The configuration file is config/application.conf.

SimplexSpatial is using the same configuration system that is used in AKKA: lightbend config. It means than you can set and overwrite configuration properties as it is explained in the Lightbend Config site.

Simplexspatial configuration parameters

In the previously generated package, conf/application.conf contains the specific configuration for the server. This is the config file used by default from the script used to start a node.

As reference, this is the set of parameters that the server uses:

simplexportal.spatial {
  entrypoint {
    restful {
      interface = "0.0.0.0"
      port = 8080
    }
    grpc {
      interface = "0.0.0.0"
      port = 7080
    }
    grpc-web {
      interface = "0.0.0.0"
      port = 6080
    }
  }
  indexes {
    grid-index {
      partitions {
        nodes-lookup = 50
        ways-lookup = 50
        latitude = 10000
        longitude = 10000
      }
    }
  }
}

Remind that the server is base in AKKA, so you can set any parameters related to AKKA as well.

Akka cluster configuration

In relation to the AKKA cluster configuration, it is important to configure the way that the cluster is going to work.

In this stage of the project, and only for testing, the default configuration is using Postgres to store the journal and snapshots. So this is the default configuration:

akka {

  log-dead-letters = 100
  log-dead-letters-during-shutdown = on
  loglevel = "ERROR"

  extensions = [akka.persistence.Persistence]

  persistence {
    journal {
      plugin = "jdbc-journal"
      auto-start-journals = ["jdbc-journal"]
    }
    snapshot-store {
      plugin = "jdbc-snapshot-store"
      auto-start-snapshot-stores = ["jdbc-snapshot-store"]
    }
  }

  cluster {
    seed-nodes = [
      "akka://[email protected]:2550",
      "akka://[email protected]:2551"
    ]
    sharding {
      number-of-shards = 100
    }
  }

}

akka-persistence-jdbc {
  shared-databases {
    slick {
      profile = "slick.jdbc.PostgresProfile$"
      db {
        host = "localhost"
        url = "jdbc:postgresql://localhost:5432/akka-persistence?reWriteBatchedInserts=true"
        user = "akka"
        password = "pass"
        driver = "org.postgresql.Driver"
        numThreads = 5
        maxConnections = 5
        minConnections = 1
      }
    }
  }
}

jdbc-journal {
  use-shared-db = "slick"
}

jdbc-snapshot-store {
  use-shared-db = "slick"
}

This means that:

It is using in JDBC persistence journal and snapshots.
It is using fixed seed nodes. Remind to update the IP (in this case it is the local IP for Ubuntu 19.10) and ports.

Java configuration

All configuration related wto the JVM (memory, JMX config, etc.) is available in the file conf/application.ini.

Logging configuration

AKKA is using SLF4J but SimplexSpatial adds logback to the classpath, so that will be the library to configure.

Important information about logging configuration:

Installing Dependencies

Akka persistence needs a storage system to store the journal and snapshots.

In production or for performance test, it is recommended to use a distributed storage, like Cassandra.
For testing ( default configuration ) Postgresql is enough. In the /dev folder, there is a docker-compose.yml file to be able to start all dependencies for testing. In the same folder, you can find the SQL file with the database schema.

To use with Postgres, from the doc/dev folder:

To start

docker-compose -f docker-compose-postgres.yml up -d

To create the database or clean up:

docker cp ./schema-postgres.sql dev_db_1:/root/schema-postgres.sql
docker exec dev_db_1 psql akka-persistence akka -f /root/schema-postgres.sql

To stop:

docker-compose -f docker-compose-postgres.yml down -d

More information about Docker Compose in the documentation.

Running

The last step, start a node. It is important the order starting nodes. In the configuration for testing, seed nodes are hardcoded, so you need to start the two seed nodes before the rest.

From the folder where you decompressed the server, in out case ~/simplexspatial-core-0.0.1-SNAPSHOT:

Node 1:

bin/simplexspatial-core \
    -J-Xms5G \
    -J-Xmx14G  \
    -Dconfig.file=conf/application.conf \
    -Dakka.remote.artery.canonical.port=2550  \
    -Dsimplexportal.spatial.entrypoint.grpc-web.port=6080 \
    -Dsimplexportal.spatial.entrypoint.grpc.port=7080 \
    -Dsimplexportal.spatial.entrypoint.restful.port=8080 \
    -Dcinnamon.prometheus.http-server.port=9001

bin/simplexspatial-core \
    -java-home /usr/lib/jvm/java-8-openjdk-amd64 \
    -jvm-debug 9010 \
    -J-Xms1G \
    -J-Xmx4G  \
    -Dconfig.file=conf/application.conf\
    -Dakka.remote.artery.canonical.port=2550  \
    -Dsimplexportal.spatial.entrypoint.grpc-web.port=6080 \
    -Dsimplexportal.spatial.entrypoint.grpc.port=7080 \
    -Dsimplexportal.spatial.entrypoint.restful.port=8080 \
    -Dcinnamon.prometheus.http-server.port=9001

Node 2:

bin/simplexspatial-core \
    -J-Xms5G \
    -J-Xmx14G  \
    -Dconfig.file=conf/application.conf\
    -Dakka.remote.artery.canonical.port=2551  \
    -Dsimplexportal.spatial.entrypoint.grpc-web.port=6081 \
    -Dsimplexportal.spatial.entrypoint.grpc.port=7081 \
    -Dsimplexportal.spatial.entrypoint.restful.port=8081 \
    -Dcinnamon.prometheus.http-server.port=9002

bin/simplexspatial-core
-J-Xms5G
-J-Xmx14G
-Dconfig.file=conf/application.conf
-Dakka.remote.artery.canonical.port=2551
-Dsimplexportal.spatial.entrypoint.grpc-web.port=6081
-Dsimplexportal.spatial.entrypoint.grpc.port=7081
-Dsimplexportal.spatial.entrypoint.restful.port=8081
-Dcinnamon.prometheus.http-server.port=9002 For other nodes, we can set the port as 0, so Akka will use a random free port:

bin/simplexspatial-core \
    -J-Xms1G \
    -J-Xmx4G  \
    -Dconfig.file=conf/application.conf\
    -Dakka.remote.artery.canonical.port=0  \
    -Dsimplexportal.spatial.entrypoint.grpc-web.port=0 \
    -Dsimplexportal.spatial.entrypoint.grpc.port=0 \
    -Dsimplexportal.spatial.entrypoint.restful.port=0 \
    -Dcinnamon.prometheus.http-server.port=0

Examples.

gRPC

gRPC is the way to go (if it is possible) in production.

As part of the packaging step, a gRPC Akka Stream client library has been created to used. If you want to create your own library, the gRPC sevice definition is available in the report, under protobuf-api/src/main/resources/simplexspatial.proto.

As example, you can checkout the code in the osm pbf loader project, used to load osm files into the Simplexspatial server.

Restful examples

Using Httpi

Batch mode

To seed the database, it is possible to use a json file with the list of commands to execute. Note that the performance and size of the seed file is not adequate for big data sets. So this is recommended only for testing purpose.

To execute a sequence of commands in one request.

batch_commands.json content:

{
  "nodes": [
    {
      "id": 100001,
      "lon": 1.100001,
      "lat": -1.000002,
      "attributes": {}
    },
    {
      "id": 100002,
      "lon": 2.100001,
      "lat": -2.000002,
      "attributes": {}
    }
  ],
  "ways": [
    {
      "id": 100010,
      "nodes": [
        100001,
        100002
      ],
      "attributes": {
        "name": "Two points way."
      }
    }
  ]
}

Request to execute all commands in batch mode:

http PUT http://localhost:8080/batch < batch_commands.json

Nodes

Add a node

http PUT http://localhost:8080/node/1 lon:=3.0001 lat:=-2.4444 attributes:={}

node_file.json content:

{
  "lon": 10.100001, "lat": -22.000002, "attributes": {}
}

Request to insert node:

http PUT http://localhost:8080/node/1 < node_file.json

Get a Node
```
http GET http://localhost:8080/node/1
```

Ways

Add a Way

http PUT http://localhost:8080/way/10 nodes:=[1,2] attributes:={}

way_file.json content:

{
  "nodes": [1, 2],
  "attributes": { }
}

Request to insert way:

http PUT http://localhost:8080/node/10 < way_file.json

Get a Way
```
http GET http://localhost:8080/way/10
```

Nearest node

http -v GET http://localhost:8080/algorithm/nearest/node lat==43.73819 lon==7.4269

Notes

Enable GRPC logs: -Djava.util.logging.config.file=/path/to/grpc-debug-logging.properties
More information about Artery in the AKKA documentation.

License and attributions.

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