Goals:
-
To demonstrate power of design based on "Abstract algebraic data type"
-
Provide support for streaming libs:
-
Provide support for MongoDb and Cassandra
-
Resource safety
The main idea for "Abstract algebraic data type" pattern was taken from this blog post
resolvers += "haghard-bintray" at "http://dl.bintray.com/haghard/releases"
libraryDependencies += "com.haghard" %% "nosql-join-stream" % "0.2.5"
from mongo.channel.test.stream.{ PartitionedLogCassandraSpec, AkkaCassandraPartitionedLogSpec }
val maxPartitionSize = 5000
val query =
s"""
|SELECT * FROM DOMAIN WHERE
| persistence_id = ? AND
| partition_nr = ? AND
| sequence_nr >= ?
""".stripMargin
//to get Process
val logA = (eventlog.Log[CassandraProcess] from (query, "key-a", 0, maxPartitionSize))
//to get Observable
val logB = (eventlog.Log[CassandraObservable] from (query, "key-a", 0, maxPartitionSize))
//to get Akka Source
val dName = "akka.join-dispatcher"
val settings = ActorMaterializerSettings(system)
.withInputBuffer(32, 64)
.withDispatcher(dName)
.withSupervisionStrategy(decider)
implicit val Mat = ActorMaterializer(settings)
implicit val dispatcher = system.dispatchers.lookup(dName)
val logC = (eventlog.Log[CassandraSource] from (query, "key-a", 0, maxPartitionSize)).source
from mongo.channel.test.join.JoinCassandraSpec
import dsl.cassandra._
val qSensors = for { q ← select("SELECT sensor FROM {0}") } yield q
def qTemperature(r: CRow) = for {
_ ← select("SELECT sensor, event_time, temperature FROM {0} WHERE sensor = ?")
q ← fk[java.lang.Long]("sensor", r.getLong("sensor"))
} yield q
//to get Process
val joinQuery = (Join[CassandraProcess] inner (qSensors, SENSORS, qTemperature, TEMPERATURE, KEYSPACE)) { (outer, inner) ⇒
s"Sensor №${outer.getLong("sensor")} - time: ${inner.getLong("event_time")} temperature: ${inner.getDouble("temperature")}"
}
//to get Observable
val joinQuery = (Join[CassandraObservable] inner (qSensors, SENSORS, qTemperature, TEMPERATURE, KEYSPACE)) { (outer, inner) ⇒
s"Sensor №${outer.getLong("sensor")} - time: ${inner.getLong("event_time")} temperature: ${inner.getDouble("temperature")}"
}
//to get akka Source
val dName = "akka.join-dispatcher"
val settings = ActorMaterializerSettings(system)
.withInputBuffer(32, 64)
.withDispatcher(dName)
.withSupervisionStrategy(decider)
implicit val Mat = ActorMaterializer(settings)
implicit val dispatcher = system.dispatchers.lookup(dName)
val joinQuery = (Join[CassandraSource] inner (qSensors, SENSORS, qTemperature, TEMPERATURE, KEYSPACE)) { (outer, r) ⇒
s"Sensor №${outer.getLong("sensor")} - time: ${inner.getLong("event_time")} temperature: ${inner.getDouble("temperature")}"
}
from mongo.channel.test.join.JoinMongoSpec
import mongo._
import dsl.mongo._
val qLang = for { q ← "index" $gte 0 $lte 5 } yield q
def qProg(outer: DBObject) = for { q ← "lang" $eq outer.get("index").asInstanceOf[Int] } yield q
//to get Process
val joinQuery = (Join[MongoProcess] inner (qLang, LANGS, qProg(_), PROGRAMMERS, TEST_DB)) { (outer, inner) ⇒
s"PK:${outer.get("index")} - FK:${inner.get("lang")} - ${inner.get("name")}"
}
//to get Observable
val query = (Join[MongoObservable] inner (qLang, LANGS, qProg(_), PROGRAMMERS, TEST_DB)) { (outer, inner) ⇒
s"PK:${outer.get("index")} - [FK:${inner.get("lang")} - ${inner.get("name")}]"
}
//to get akka Source
val dName = "akka.join-dispatcher"
val settings = ActorMaterializerSettings(system)
.withInputBuffer(32, 64)
.withDispatcher(dName)
.withSupervisionStrategy(decider)
implicit val Mat = ActorMaterializer(settings)
implicit val dispatcher = system.dispatchers.lookup(dName)
val joinQuery = (Join[MongoSource] inner (qSensors, SENSORS, qTemperature, TEMPERATURE, KEYSPACE)) { (outer, inner) ⇒
s"Sensor №${outer.getLong("sensor")} - time: ${inner.getLong("event_time")} temperature: ${inner.getDouble("temperature")}"
}
