在akka-alpakka工具包里也提供了对MongoDB的stream-connector，能针对MongoDB数据库进行streaming操作。这个MongoDB-connector里包含了MongoSource，MongoFlow，MongoSink。我们只使用MongoSource，其它两个我们直接用mapAsyc来创造。下面是MongoSource的定义：
object MongoSource {
def apply(query: Observable[Document]): Source[Document, NotUsed] =
Source.fromPublisher(ObservableToPublisher(query))
}
实际上就是把Mongo-scala的Observable[Document]转成Source[Document, NotUsed]。我们还是通过传入context来构建这个Source：
case class MGOContext(
dbName: String,
collName: String,
action: MGOCommands = null
) {...}
case class DocumentStream(filter: Option[Bson] = None,
andThen: Option[FindObservable[Document] => FindObservable[Document]] = None,
) extends MGOCommands
Source的具体实现：
def mongoStream(ctx: MGOContext)(
implicit client: MongoClient, ec: ExecutionContextExecutor): Source[Document, NotUsed] = {
val db = client.getDatabase(ctx.dbName)
val coll = db.getCollection(ctx.collName)
ctx.action match {
case DocumentStream(None, None) =>
MongoSource(coll.find())
case DocumentStream(Some(filter), None) =>
MongoSource(coll.find(filter))
case DocumentStream(None, Some(next)) =>
MongoSource(next(coll.find()))
case DocumentStream(Some(filter), Some(next)) =>
MongoSource(next(coll.find(filter)))
}
}
下面是mongoStream的使用示范：
val clusterSettings = ClusterSettings.builder()
.hosts(List(new ServerAddress("localhost:27017")).asJava).build()
val clientSettings = MongoClientSettings.builder().clusterSettings(clusterSettings).build()
implicit val client = MongoClient(clientSettings) implicit val system = ActorSystem()
implicit val mat = ActorMaterializer()
implicit val ec = system.dispatcher case class PO (
ponum: String,
podate: MGODate,
vendor: String,
remarks: Option[String],
podtl: Option[MGOArray]
)
def toPO(doc: Document): PO = {
PO(
ponum = doc.getString("ponum"),
podate = doc.getDate("podate"),
vendor = doc.getString("vendor"),
remarks = mgoGetStringOrNone(doc,"remarks"),
podtl = mgoGetArrayOrNone(doc,"podtl")
)
}
case class PODTL(
item: String,
price: Double,
qty: Int,
packing: Option[String],
payTerm: Option[String]
)
def toPODTL(podtl: Document): PODTL = {
PODTL(
item = podtl.getString("item"),
price = podtl.getDouble("price"),
qty = podtl.getInteger("qty"),
packing = mgoGetStringOrNone(podtl,"packing"),
payTerm = mgoGetStringOrNone(podtl,"payterm")
)
} def showPO(po: PO) = {
println(s"po number: ${po.ponum}")
println(s"po date: ${mgoDateToString(po.podate,"yyyy-MM-dd")}")
println(s"vendor: ${po.vendor}")
if (po.remarks != None)
println(s"remarks: ${po.remarks.get}")
po.podtl match {
case Some(barr) =>
mgoArrayToDocumentList(barr)
.map { dc => toPODTL(dc)}
.foreach { doc: PODTL =>
print(s"==>Item: ${doc.item} ")
print(s"price: ${doc.price} ")
print(s"qty: ${doc.qty} ")
doc.packing.foreach(pk => print(s"packing: ${pk} "))
doc.payTerm.foreach(pt => print(s"payTerm: ${pt} "))
println("")
}
case _ =>
}
}
import org.mongodb.scala.model.Projections._
import MongoActionStream._
import MGOEngine._
import akka.stream.scaladsl.{Sink, Source} val proj: MGOFilterResult = find => find.projection(exclude("handler","_id"))
val ctx = MGOContext("testdb","po").setCommand(
DocumentStream(filter = None, andThen = Some(proj))) val stream = mongoStream(ctx).map(toPO).runWith(Sink.foreach(showPO)) println(getResult(mongoStream(ctx).map(toPO).runWith(Sink.foreach(showPO))))
我们看到：使用了许多代码去进行类型转换。不过也没有什么太好的办法，已经是一次性的了。我们也可以通过akka的Flow[A,B]来以stream里的A元素为变量对MongoDB数据进行更新操作：
object MongoActionStream {
import MGOContext._
case class StreamingInsert[A](dbName: String,
collName: String,
converter: A => Document,
parallelism: Int =
) extends MGOCommands
case class StreamingDelete[A](dbName: String,
collName: String,
toFilter: A => Bson,
parallelism: Int = ,
justOne: Boolean = false
) extends MGOCommands
case class StreamingUpdate[A](dbName: String,
collName: String,
toFilter: A => Bson,
toUpdate: A => Bson,
parallelism: Int = ,
justOne: Boolean = false
) extends MGOCommands
case class InsertAction[A](ctx: StreamingInsert[A])(
implicit mongoClient: MongoClient) {
val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName)
def performOnRow(implicit ec: ExecutionContext): Flow[A, Document, NotUsed] =
Flow[A].map(ctx.converter)
.mapAsync(ctx.parallelism)(doc => collection.insertOne(doc).toFuture().map(_ => doc))
}
case class UpdateAction[A](ctx: StreamingUpdate[A])(
implicit mongoClient: MongoClient) {
val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName)
def performOnRow(implicit ec: ExecutionContext): Flow[A, A, NotUsed] =
if (ctx.justOne) {
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.updateOne(ctx.toFilter(a), ctx.toUpdate(a)).toFuture().map(_ => a))
} else
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.updateMany(ctx.toFilter(a), ctx.toUpdate(a)).toFuture().map(_ => a))
}
case class DeleteAction[A](ctx: StreamingDelete[A])(
implicit mongoClient: MongoClient) {
val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName)
def performOnRow(implicit ec: ExecutionContext): Flow[A, A, NotUsed] =
if (ctx.justOne) {
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.deleteOne(ctx.toFilter(a)).toFuture().map(_ => a))
} else
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.deleteMany(ctx.toFilter(a)).toFuture().map(_ => a))
}
}
下面是insert, update及delete操作的示范。在这个示范里我们同时调用了JDBCEngine,CassandraEngine和MongoDBEngine：
import jdbcengine._
import JDBCEngine._
import scalikejdbc._ case class DataRow (
rowid: Long,
measureid: Long,
state: String,
county: String,
year: Int,
value: Int
)
val toRow: WrappedResultSet => DataRow = rs => DataRow(
rowid = rs.long("ROWID"),
measureid = rs.long("MEASUREID"),
state = rs.string("STATENAME"),
county = rs.string("COUNTYNAME"),
year = rs.int("REPORTYEAR"),
value = rs.int("VALUE")
) //construct the context
val h2ctx = JDBCQueryContext[DataRow](
dbName = 'h2,
statement = "select * from AQMRPT",
extractor = toRow
) //source from h2 database
val jdbcSource = jdbcAkkaStream(h2ctx) //document converter
def rowToDoc: DataRow => Document = row => Document (
"rowid" -> row.rowid,
"measureid" -> row.measureid,
"state" -> row.state,
"county" -> row.county,
"year" -> row.year,
"value" -> row.value
)
def docToRow: Document => DataRow = doc => DataRow (
rowid = doc.getLong("rowid"),
measureid = doc.getLong("measureid"),
state = doc.getString("state"),
county = doc.getString("county"),
year = doc.getInteger("year"),
value = doc.getInteger("value")
)
//setup context
val mgoctx = StreamingInsert("testdb","members",rowToDoc)
val mgoActionStream = new MongoActionStream.InsertAction[DataRow](mgoctx)
val mgoActionFlow = mgoActionStream.performOnRow.map(docToRow)
val sink = Sink.foreach[DataRow]{ r =>
println(s"${r.rowid} ${r.state} ${r.county} ${r.year} ${r.value}")
} //config jdbc drivers
ConfigDBsWithEnv("dev").setup('h2)
ConfigDBsWithEnv("dev").loadGlobalSettings() val sts = jdbcSource.take().via(mgoActionFlow).to(sink).run() val mgoCtxShow = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None)) mongoStream(mgoCtxShow).map(docToRow).to(sink).run() import com.datastax.driver.core._
import cassandraengine._
import CQLEngine._
import org.mongodb.scala.model.Filters._ //data row converter
val cqlToDataRow = (rs: Row) => DataRow(
rowid = rs.getLong("ROWID"),
measureid = rs.getLong("MEASUREID"),
state = rs.getString("STATENAME"),
county = rs.getString("COUNTYNAME"),
year = rs.getInt("REPORTYEAR"),
value = rs.getInt("VALUE")
) import org.bson.conversions._
import org.mongodb.scala.model.Updates._ //#init-session
implicit val session = Cluster.builder
.addContactPoint("127.0.0.1")
.withPort()
.build
.connect() //setup context
val cqlCtx = CQLQueryContext("select * from testdb.aqmrpt",cqlToDataRow)
//construct source
val cqlSource = cassandraStream(cqlCtx) def toFilter: DataRow => Bson = row => {
and(equal("rowid",row.rowid), lt("value",))
}
def toUpdate: DataRow => Bson = row => {
set("value" , row.value * )
}
val mgoCtxUpdate = StreamingUpdate("testdb","members",toFilter,toUpdate)
val mgoUpdateFlow = new MongoActionStream.UpdateAction[DataRow](mgoCtxUpdate)
val sts = cqlSource.via(mgoUpdateFlow.performOnRow).to(sink).run() import org.bson.conversions._
import org.mongodb.scala.model.Filters._
def toDelFilter: DataRow => Bson = row => and(equal("rowid",row.rowid),equal("value",)) val mgoCtxDel = StreamingDelete[DataRow]("testdb","members",toDelFilter)
val mgoDelFlow = new DeleteAction[DataRow](mgoCtxDel)
val mgoCtxSrc = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None))
mongoStream(mgoCtxSrc).map(docToRow).via(mgoDelFlow.performOnRow).to(Sink.ignore).run() import org.mongodb.scala.model.Sorts._
val sortDsc: MGOFilterResult = find => find.sort(descending("rowid"))
val mgoCtxShow = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None, andThen = Some(sortDsc))) mongoStream(mgoCtxShow).map(docToRow).to(sink).run()
下面是本次示范的全部源代码：
build.sbt
name := "learn-mongo" version := "0.1" scalaVersion := "2.12.4" libraryDependencies := Seq(
"com.datastax.cassandra" % "cassandra-driver-core" % "3.4.0",
"com.datastax.cassandra" % "cassandra-driver-extras" % "3.4.0",
"org.mongodb.scala" %% "mongo-scala-driver" % "2.2.1",
"com.lightbend.akka" %% "akka-stream-alpakka-mongodb" % "0.17",
"com.typesafe.akka" %% "akka-actor" % "2.5.4",
"com.typesafe.akka" %% "akka-stream" % "2.5.4",
"com.lightbend.akka" %% "akka-stream-alpakka-cassandra" % "0.16",
"org.scalikejdbc" %% "scalikejdbc" % "3.2.1",
"org.scalikejdbc" %% "scalikejdbc-test" % "3.2.1" % "test",
"org.scalikejdbc" %% "scalikejdbc-config" % "3.2.1",
"org.scalikejdbc" %% "scalikejdbc-streams" % "3.2.1",
"org.scalikejdbc" %% "scalikejdbc-joda-time" % "3.2.1",
"com.h2database" % "h2" % "1.4.196",
"mysql" % "mysql-connector-java" % "6.0.6",
"org.postgresql" % "postgresql" % "42.2.0",
"commons-dbcp" % "commons-dbcp" % "1.4",
"org.apache.tomcat" % "tomcat-jdbc" % "9.0.2",
"com.zaxxer" % "HikariCP" % "2.7.4",
"com.jolbox" % "bonecp" % "0.8.0.RELEASE",
"com.typesafe.slick" %% "slick" % "3.2.1",
"ch.qos.logback" % "logback-classic" % "1.2.3"
)
resources/application.conf
# JDBC settings
test {
db {
h2 {
driver = "org.h2.Driver"
url = "jdbc:h2:tcp://localhost/~/slickdemo"
user = ""
password = ""
poolInitialSize =
poolMaxSize =
poolConnectionTimeoutMillis =
poolValidationQuery = "select 1 as one"
poolFactoryName = "commons-dbcp2"
}
} db.mysql.driver = "com.mysql.cj.jdbc.Driver"
db.mysql.url = "jdbc:mysql://localhost:3306/testdb"
db.mysql.user = "root"
db.mysql.password = ""
db.mysql.poolInitialSize =
db.mysql.poolMaxSize =
db.mysql.poolConnectionTimeoutMillis =
db.mysql.poolValidationQuery = "select 1 as one"
db.mysql.poolFactoryName = "bonecp" # scallikejdbc Global settings
scalikejdbc.global.loggingSQLAndTime.enabled = true
scalikejdbc.global.loggingSQLAndTime.logLevel = info
scalikejdbc.global.loggingSQLAndTime.warningEnabled = true
scalikejdbc.global.loggingSQLAndTime.warningThresholdMillis =
scalikejdbc.global.loggingSQLAndTime.warningLogLevel = warn
scalikejdbc.global.loggingSQLAndTime.singleLineMode = false
scalikejdbc.global.loggingSQLAndTime.printUnprocessedStackTrace = false
scalikejdbc.global.loggingSQLAndTime.stackTraceDepth =
}
dev {
db {
h2 {
driver = "org.h2.Driver"
url = "jdbc:h2:tcp://localhost/~/slickdemo"
user = ""
password = ""
poolFactoryName = "hikaricp"
numThreads =
maxConnections =
minConnections =
keepAliveConnection = true
}
mysql {
driver = "com.mysql.cj.jdbc.Driver"
url = "jdbc:mysql://localhost:3306/testdb"
user = "root"
password = ""
poolInitialSize =
poolMaxSize =
poolConnectionTimeoutMillis =
poolValidationQuery = "select 1 as one"
poolFactoryName = "bonecp" }
postgres {
driver = "org.postgresql.Driver"
url = "jdbc:postgresql://localhost:5432/testdb"
user = "root"
password = ""
poolFactoryName = "hikaricp"
numThreads =
maxConnections =
minConnections =
keepAliveConnection = true
}
}
# scallikejdbc Global settings
scalikejdbc.global.loggingSQLAndTime.enabled = true
scalikejdbc.global.loggingSQLAndTime.logLevel = info
scalikejdbc.global.loggingSQLAndTime.warningEnabled = true
scalikejdbc.global.loggingSQLAndTime.warningThresholdMillis =
scalikejdbc.global.loggingSQLAndTime.warningLogLevel = warn
scalikejdbc.global.loggingSQLAndTime.singleLineMode = false
scalikejdbc.global.loggingSQLAndTime.printUnprocessedStackTrace = false
scalikejdbc.global.loggingSQLAndTime.stackTraceDepth =
}
JDBCEngine.scala
package jdbcengine
import java.sql.PreparedStatement import scala.collection.generic.CanBuildFrom
import akka.stream.scaladsl._
import scalikejdbc._
import scalikejdbc.streams._
import akka.NotUsed
import akka.stream._
import scala.util._
import java.time._
import scala.concurrent.duration._
import filestreaming.FileStreaming._ import scalikejdbc.TxBoundary.Try._ import scala.concurrent.ExecutionContextExecutor
import java.io.InputStream object JDBCContext {
type SQLTYPE = Int
val SQL_EXEDDL=
val SQL_UPDATE =
val RETURN_GENERATED_KEYVALUE = true
val RETURN_UPDATED_COUNT = false } case class JDBCQueryContext[M](
dbName: Symbol,
statement: String,
parameters: Seq[Any] = Nil,
fetchSize: Int = ,
autoCommit: Boolean = false,
queryTimeout: Option[Int] = None,
extractor: WrappedResultSet => M) case class JDBCContext(
dbName: Symbol,
statements: Seq[String] = Nil,
parameters: Seq[Seq[Any]] = Nil,
fetchSize: Int = ,
queryTimeout: Option[Int] = None,
queryTags: Seq[String] = Nil,
sqlType: JDBCContext.SQLTYPE = JDBCContext.SQL_UPDATE,
batch: Boolean = false,
returnGeneratedKey: Seq[Option[Any]] = Nil,
// no return: None, return by index: Some(1), by name: Some("id")
preAction: Option[PreparedStatement => Unit] = None,
postAction: Option[PreparedStatement => Unit] = None) { ctx => //helper functions def appendTag(tag: String): JDBCContext = ctx.copy(queryTags = ctx.queryTags :+ tag) def appendTags(tags: Seq[String]): JDBCContext = ctx.copy(queryTags = ctx.queryTags ++ tags) def setFetchSize(size: Int): JDBCContext = ctx.copy(fetchSize = size) def setQueryTimeout(time: Option[Int]): JDBCContext = ctx.copy(queryTimeout = time) def setPreAction(action: Option[PreparedStatement => Unit]): JDBCContext = {
if (ctx.sqlType == JDBCContext.SQL_UPDATE &&
!ctx.batch && ctx.statements.size == )
ctx.copy(preAction = action)
else
throw new IllegalStateException("JDBCContex setting error: preAction not supported!")
} def setPostAction(action: Option[PreparedStatement => Unit]): JDBCContext = {
if (ctx.sqlType == JDBCContext.SQL_UPDATE &&
!ctx.batch && ctx.statements.size == )
ctx.copy(postAction = action)
else
throw new IllegalStateException("JDBCContex setting error: preAction not supported!")
} def appendDDLCommand(_statement: String, _parameters: Any*): JDBCContext = {
if (ctx.sqlType == JDBCContext.SQL_EXEDDL) {
ctx.copy(
statements = ctx.statements ++ Seq(_statement),
parameters = ctx.parameters ++ Seq(Seq(_parameters))
)
} else
throw new IllegalStateException("JDBCContex setting error: option not supported!")
} def appendUpdateCommand(_returnGeneratedKey: Boolean, _statement: String, _parameters: Any*): JDBCContext = {
if (ctx.sqlType == JDBCContext.SQL_UPDATE && !ctx.batch) {
ctx.copy(
statements = ctx.statements ++ Seq(_statement),
parameters = ctx.parameters ++ Seq(_parameters),
returnGeneratedKey = ctx.returnGeneratedKey ++ (if (_returnGeneratedKey) Seq(Some()) else Seq(None))
)
} else
throw new IllegalStateException("JDBCContex setting error: option not supported!")
} def appendBatchParameters(_parameters: Any*): JDBCContext = {
if (ctx.sqlType != JDBCContext.SQL_UPDATE || !ctx.batch)
throw new IllegalStateException("JDBCContex setting error: batch parameters only supported for SQL_UPDATE and batch = true!") var matchParams = true
if (ctx.parameters != Nil)
if (ctx.parameters.head.size != _parameters.size)
matchParams = false
if (matchParams) {
ctx.copy(
parameters = ctx.parameters ++ Seq(_parameters)
)
} else
throw new IllegalStateException("JDBCContex setting error: batch command parameters not match!")
} def setBatchReturnGeneratedKeyOption(returnKey: Boolean): JDBCContext = {
if (ctx.sqlType != JDBCContext.SQL_UPDATE || !ctx.batch)
throw new IllegalStateException("JDBCContex setting error: only supported in batch update commands!")
ctx.copy(
returnGeneratedKey = if (returnKey) Seq(Some()) else Nil
)
} def setDDLCommand(_statement: String, _parameters: Any*): JDBCContext = {
ctx.copy(
statements = Seq(_statement),
parameters = Seq(_parameters),
sqlType = JDBCContext.SQL_EXEDDL,
batch = false
)
} def setUpdateCommand(_returnGeneratedKey: Boolean, _statement: String, _parameters: Any*): JDBCContext = {
ctx.copy(
statements = Seq(_statement),
parameters = Seq(_parameters),
returnGeneratedKey = if (_returnGeneratedKey) Seq(Some()) else Seq(None),
sqlType = JDBCContext.SQL_UPDATE,
batch = false
)
}
def setBatchCommand(_statement: String): JDBCContext = {
ctx.copy (
statements = Seq(_statement),
sqlType = JDBCContext.SQL_UPDATE,
batch = true
)
} type JDBCDate = LocalDate
type JDBCDateTime = LocalDateTime def jdbcSetDate(yyyy: Int, mm: Int, dd: Int) = LocalDate.of(yyyy,mm,dd)
def jdbcSetNow = LocalDateTime.now() type JDBCBlob = InputStream def fileToJDBCBlob(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer) = FileToInputStream(fileName,timeOut) def jdbcBlobToFile(blob: JDBCBlob, fileName: String)(
implicit mat: Materializer) = InputStreamToFile(blob,fileName) } object JDBCEngine { import JDBCContext._ private def noExtractor(message: String): WrappedResultSet => Nothing = { (rs: WrappedResultSet) =>
throw new IllegalStateException(message)
} def jdbcAkkaStream[A](ctx: JDBCQueryContext[A])
(implicit ec: ExecutionContextExecutor): Source[A,NotUsed] = { val publisher: DatabasePublisher[A] = NamedDB('h2) readOnlyStream {
val rawSql = new SQLToCollectionImpl[A, NoExtractor](ctx.statement, ctx.parameters)(noExtractor(""))
ctx.queryTimeout.foreach(rawSql.queryTimeout(_))
val sql: SQL[A, HasExtractor] = rawSql.map(ctx.extractor) sql.iterator
.withDBSessionForceAdjuster(session => {
session.connection.setAutoCommit(ctx.autoCommit)
session.fetchSize(ctx.fetchSize)
})
}
Source.fromPublisher[A](publisher)
} def jdbcQueryResult[C[_] <: TraversableOnce[_], A](
ctx: JDBCQueryContext[A])(
implicit cbf: CanBuildFrom[Nothing, A, C[A]]): C[A] = { val rawSql = new SQLToCollectionImpl[A, NoExtractor](ctx.statement, ctx.parameters)(noExtractor(""))
ctx.queryTimeout.foreach(rawSql.queryTimeout(_))
rawSql.fetchSize(ctx.fetchSize)
implicit val session = NamedAutoSession(ctx.dbName)
val sql: SQL[A, HasExtractor] = rawSql.map(ctx.extractor)
sql.collection.apply[C]() } def jdbcExcuteDDL(ctx: JDBCContext): Try[String] = {
if (ctx.sqlType != SQL_EXEDDL) {
Failure(new IllegalStateException("JDBCContex setting error: sqlType must be 'SQL_EXEDDL'!"))
}
else {
NamedDB(ctx.dbName) localTx { implicit session =>
Try {
ctx.statements.foreach { stm =>
val ddl = new SQLExecution(statement = stm, parameters = Nil)(
before = WrappedResultSet => {})(
after = WrappedResultSet => {}) ddl.apply()
}
"SQL_EXEDDL executed succesfully."
}
}
}
} def jdbcBatchUpdate[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
if (ctx.statements == Nil)
throw new IllegalStateException("JDBCContex setting error: statements empty!")
if (ctx.sqlType != SQL_UPDATE) {
Failure(new IllegalStateException("JDBCContex setting error: sqlType must be 'SQL_UPDATE'!"))
}
else {
if (ctx.batch) {
if (noReturnKey(ctx)) {
val usql = SQL(ctx.statements.head)
.tags(ctx.queryTags: _*)
.batch(ctx.parameters: _*)
Try {
NamedDB(ctx.dbName) localTx { implicit session =>
ctx.queryTimeout.foreach(session.queryTimeout(_))
usql.apply[Seq]()
Seq.empty[Long].to[C]
}
}
} else {
val usql = new SQLBatchWithGeneratedKey(ctx.statements.head, ctx.parameters, ctx.queryTags)(None)
Try {
NamedDB(ctx.dbName) localTx { implicit session =>
ctx.queryTimeout.foreach(session.queryTimeout(_))
usql.apply[C]()
}
}
} } else {
Failure(new IllegalStateException("JDBCContex setting error: must set batch = true !"))
}
}
}
private def singleTxUpdateWithReturnKey[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
val Some(key) :: xs = ctx.returnGeneratedKey
val params: Seq[Any] = ctx.parameters match {
case Nil => Nil
case p@_ => p.head
}
val usql = new SQLUpdateWithGeneratedKey(ctx.statements.head, params, ctx.queryTags)(key)
Try {
NamedDB(ctx.dbName) localTx { implicit session =>
session.fetchSize(ctx.fetchSize)
ctx.queryTimeout.foreach(session.queryTimeout(_))
val result = usql.apply()
Seq(result).to[C]
}
}
} private def singleTxUpdateNoReturnKey[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
val params: Seq[Any] = ctx.parameters match {
case Nil => Nil
case p@_ => p.head
}
val before = ctx.preAction match {
case None => pstm: PreparedStatement => {}
case Some(f) => f
}
val after = ctx.postAction match {
case None => pstm: PreparedStatement => {}
case Some(f) => f
}
val usql = new SQLUpdate(ctx.statements.head,params,ctx.queryTags)(before)(after)
Try {
NamedDB(ctx.dbName) localTx {implicit session =>
session.fetchSize(ctx.fetchSize)
ctx.queryTimeout.foreach(session.queryTimeout(_))
val result = usql.apply()
Seq(result.toLong).to[C]
}
} } private def singleTxUpdate[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
if (noReturnKey(ctx))
singleTxUpdateNoReturnKey(ctx)
else
singleTxUpdateWithReturnKey(ctx)
} private def noReturnKey(ctx: JDBCContext): Boolean = {
if (ctx.returnGeneratedKey != Nil) {
val k :: xs = ctx.returnGeneratedKey
k match {
case None => true
case Some(k) => false
}
} else true
} def noActon: PreparedStatement=>Unit = pstm => {} def multiTxUpdates[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
Try {
NamedDB(ctx.dbName) localTx { implicit session =>
session.fetchSize(ctx.fetchSize)
ctx.queryTimeout.foreach(session.queryTimeout(_))
val keys: Seq[Option[Any]] = ctx.returnGeneratedKey match {
case Nil => Seq.fill(ctx.statements.size)(None)
case k@_ => k
}
val sqlcmd = ctx.statements zip ctx.parameters zip keys
val results = sqlcmd.map { case ((stm, param), key) =>
key match {
case None =>
new SQLUpdate(stm, param, Nil)(noActon)(noActon).apply().toLong
case Some(k) =>
new SQLUpdateWithGeneratedKey(stm, param, Nil)(k).apply().toLong
}
}
results.to[C]
}
}
} def jdbcTxUpdates[C[_] <: TraversableOnce[_]](ctx: JDBCContext)(
implicit cbf: CanBuildFrom[Nothing, Long, C[Long]]): Try[C[Long]] = {
if (ctx.statements == Nil)
throw new IllegalStateException("JDBCContex setting error: statements empty!")
if (ctx.sqlType != SQL_UPDATE) {
Failure(new IllegalStateException("JDBCContex setting error: sqlType must be 'SQL_UPDATE'!"))
}
else {
if (!ctx.batch) {
if (ctx.statements.size == )
singleTxUpdate(ctx)
else
multiTxUpdates(ctx)
} else
Failure(new IllegalStateException("JDBCContex setting error: must set batch = false !")) }
} case class JDBCActionStream[R](dbName: Symbol, parallelism: Int = , processInOrder: Boolean = true,
statement: String, prepareParams: R => Seq[Any]) {
jas =>
def setDBName(db: Symbol): JDBCActionStream[R] = jas.copy(dbName = db)
def setParallelism(parLevel: Int): JDBCActionStream[R] = jas.copy(parallelism = parLevel)
def setProcessOrder(ordered: Boolean): JDBCActionStream[R] = jas.copy(processInOrder = ordered) private def perform(r: R) = {
import scala.concurrent._
val params = prepareParams(r)
NamedDB(dbName) autoCommit { session =>
session.execute(statement,params: _*)
}
Future.successful(r)
}
def performOnRow(implicit session: DBSession): Flow[R, R, NotUsed] =
if (processInOrder)
Flow[R].mapAsync(parallelism)(perform)
else
Flow[R].mapAsyncUnordered(parallelism)(perform) }
object JDBCActionStream {
def apply[R](_dbName: Symbol, _statement: String, params: R => Seq[Any]): JDBCActionStream[R] =
new JDBCActionStream[R](dbName = _dbName, statement=_statement, prepareParams = params)
} }
CassandraEngine.scala
package cassandraengine
import com.datastax.driver.core._ import scala.concurrent._
import com.google.common.util.concurrent.{FutureCallback, Futures, ListenableFuture} import scala.collection.JavaConverters._
import scala.collection.generic.CanBuildFrom
import scala.concurrent.duration.Duration
import akka.NotUsed
import akka.stream.alpakka.cassandra.scaladsl._
import akka.stream.scaladsl._
import filestreaming.FileStreaming._ object CQLContext {
// Consistency Levels
type CONSISTENCY_LEVEL = Int
val ANY: CONSISTENCY_LEVEL = 0x0000
val ONE: CONSISTENCY_LEVEL = 0x0001
val TWO: CONSISTENCY_LEVEL = 0x0002
val THREE: CONSISTENCY_LEVEL = 0x0003
val QUORUM : CONSISTENCY_LEVEL = 0x0004
val ALL: CONSISTENCY_LEVEL = 0x0005
val LOCAL_QUORUM: CONSISTENCY_LEVEL = 0x0006
val EACH_QUORUM: CONSISTENCY_LEVEL = 0x0007
val LOCAL_ONE: CONSISTENCY_LEVEL = 0x000A
val LOCAL_SERIAL: CONSISTENCY_LEVEL = 0x000B
val SERIAL: CONSISTENCY_LEVEL = 0x000C def apply(): CQLContext = CQLContext(statements = Nil) def consistencyLevel: CONSISTENCY_LEVEL => ConsistencyLevel = consistency => {
consistency match {
case ALL => ConsistencyLevel.ALL
case ONE => ConsistencyLevel.ONE
case TWO => ConsistencyLevel.TWO
case THREE => ConsistencyLevel.THREE
case ANY => ConsistencyLevel.ANY
case EACH_QUORUM => ConsistencyLevel.EACH_QUORUM
case LOCAL_ONE => ConsistencyLevel.LOCAL_ONE
case QUORUM => ConsistencyLevel.QUORUM
case SERIAL => ConsistencyLevel.SERIAL
case LOCAL_SERIAL => ConsistencyLevel.LOCAL_SERIAL }
} }
case class CQLQueryContext[M](
statement: String,
extractor: Row => M,
parameter: Seq[Object] = Nil,
consistency: Option[CQLContext.CONSISTENCY_LEVEL] = None,
fetchSize: Int =
) { ctx =>
def setConsistencyLevel(_consistency: CQLContext.CONSISTENCY_LEVEL): CQLQueryContext[M] =
ctx.copy(consistency = Some(_consistency))
def setFetchSize(pageSize: Int): CQLQueryContext[M] =
ctx.copy(fetchSize = pageSize)
}
object CQLQueryContext {
def apply[M](stmt: String, converter: Row => M): CQLQueryContext[M] =
new CQLQueryContext[M](statement = stmt, extractor = converter)
} case class CQLContext(
statements: Seq[String],
parameters: Seq[Seq[Object]] = Nil,
consistency: Option[CQLContext.CONSISTENCY_LEVEL] = None
) { ctx => def setConsistencyLevel(_consistency: CQLContext.CONSISTENCY_LEVEL): CQLContext =
ctx.copy(consistency = Some(_consistency))
def setCommand(_statement: String, _parameters: Object*): CQLContext =
ctx.copy(statements = Seq(_statement), parameters = Seq(_parameters))
def appendCommand(_statement: String, _parameters: Object*): CQLContext =
ctx.copy(statements = ctx.statements :+ _statement,
parameters = ctx.parameters ++ Seq(_parameters))
} object CQLEngine {
import CQLContext._
import CQLHelpers._ def fetchResultPage[C[_] <: TraversableOnce[_],A](ctx: CQLQueryContext[A], pageSize: Int = )(
implicit session: Session, cbf: CanBuildFrom[Nothing, A, C[A]]): (ResultSet, C[A])= { val prepStmt = session.prepare(ctx.statement) var boundStmt = prepStmt.bind()
if (ctx.parameter != Nil) {
val params = processParameters(ctx.parameter)
boundStmt = prepStmt.bind(params:_*)
} ctx.consistency.foreach {consistency =>
boundStmt.setConsistencyLevel(consistencyLevel(consistency))} val resultSet = session.execute(boundStmt.setFetchSize(pageSize))
(resultSet,(resultSet.asScala.view.map(ctx.extractor)).to[C])
}
def fetchMorePages[C[_] <: TraversableOnce[_],A](resultSet: ResultSet, timeOut: Duration)(
extractor: Row => A)(implicit cbf: CanBuildFrom[Nothing, A, C[A]]): (ResultSet,Option[C[A]]) =
if (resultSet.isFullyFetched) {
(resultSet, None)
} else {
try {
val result = Await.result(resultSet.fetchMoreResults(), timeOut)
(result, Some((result.asScala.view.map(extractor)).to[C]))
} catch { case e: Throwable => (resultSet, None) }
}
def cqlExecute(ctx: CQLContext)(
implicit session: Session, ec: ExecutionContext): Future[Boolean] = {
if (ctx.statements.size == )
cqlSingleUpdate(ctx)
else
cqlMultiUpdate(ctx)
}
def cqlSingleUpdate(ctx: CQLContext)(
implicit session: Session, ec: ExecutionContext): Future[Boolean] = { val prepStmt = session.prepare(ctx.statements.head) var boundStmt = prepStmt.bind()
if (ctx.parameters != Nil) {
val params = processParameters(ctx.parameters.head)
boundStmt = prepStmt.bind(params:_*)
} ctx.consistency.foreach {consistency =>
boundStmt.setConsistencyLevel(consistencyLevel(consistency))}
session.executeAsync(boundStmt).map(_.wasApplied())
}
def cqlMultiUpdate(ctx: CQLContext)(
implicit session: Session, ec: ExecutionContext): Future[Boolean] = {
val commands: Seq[(String,Seq[Object])] = ctx.statements zip ctx.parameters
var batch = new BatchStatement()
commands.foreach { case (stm, params) =>
val prepStmt = session.prepare(stm)
if (params == Nil)
batch.add(prepStmt.bind())
else {
val p = processParameters(params)
batch.add(prepStmt.bind(p: _*))
}
}
ctx.consistency.foreach {consistency =>
batch.setConsistencyLevel(consistencyLevel(consistency))}
session.executeAsync(batch).map(_.wasApplied())
} def cassandraStream[A](ctx: CQLQueryContext[A])
(implicit session: Session, ec: ExecutionContextExecutor): Source[A,NotUsed] = { val prepStmt = session.prepare(ctx.statement)
var boundStmt = prepStmt.bind()
val params = processParameters(ctx.parameter)
boundStmt = prepStmt.bind(params:_*)
ctx.consistency.foreach {consistency =>
boundStmt.setConsistencyLevel(consistencyLevel(consistency))} CassandraSource(boundStmt.setFetchSize(ctx.fetchSize)).map(ctx.extractor)
} case class CassandraActionStream[R](parallelism: Int = , processInOrder: Boolean = true,
statement: String, prepareParams: R => Seq[Object],
consistency: Option[CQLContext.CONSISTENCY_LEVEL] = None){ cas =>
def setParallelism(parLevel: Int): CassandraActionStream[R] = cas.copy(parallelism=parLevel)
def setProcessOrder(ordered: Boolean): CassandraActionStream[R] = cas.copy(processInOrder = ordered)
def setConsistencyLevel(_consistency: CQLContext.CONSISTENCY_LEVEL): CassandraActionStream[R] =
cas.copy(consistency = Some(_consistency)) private def perform(r: R)(implicit session: Session, ec: ExecutionContext) = {
val prepStmt = session.prepare(statement)
var boundStmt = prepStmt.bind()
val params = processParameters(prepareParams(r))
boundStmt = prepStmt.bind(params:_*)
consistency.foreach { cons =>
boundStmt.setConsistencyLevel(CQLContext.consistencyLevel(cons))
}
session.executeAsync(boundStmt).map(_ => r)
}
def performOnRow(implicit session: Session, ec: ExecutionContext): Flow[R, R, NotUsed] =
if (processInOrder)
Flow[R].mapAsync(parallelism)(perform)
else
Flow[R].mapAsyncUnordered(parallelism)(perform) }
object CassandraActionStream {
def apply[R](_statement: String, params: R => Seq[Object]): CassandraActionStream[R] =
new CassandraActionStream[R]( statement=_statement, prepareParams = params)
} }
object CQLHelpers {
import java.nio.ByteBuffer
import com.datastax.driver.core.LocalDate
import java.time.Instant
import akka.stream._
import scala.concurrent.duration._ implicit def listenableFutureToFuture[T](
listenableFuture: ListenableFuture[T]): Future[T] = {
val promise = Promise[T]()
Futures.addCallback(listenableFuture, new FutureCallback[T] {
def onFailure(error: Throwable): Unit = {
promise.failure(error)
()
}
def onSuccess(result: T): Unit = {
promise.success(result)
()
}
})
promise.future
} type CQLBlob = ByteBuffer
case class CQLDate(year: Int, month: Int, day: Int)
case object CQLTodayDate
case class CQLDateTime(year: Int, Month: Int,
day: Int, hour: Int, minute: Int, second: Int, millisec: Int = )
case object CQLDateTimeNow def processParameters(params: Seq[Object]): Seq[Object] = {
import java.time.{Clock,ZoneId}
params.map { obj =>
obj match {
case CQLDate(yy, mm, dd) => LocalDate.fromYearMonthDay(yy, mm, dd)
case CQLTodayDate =>
val today = java.time.LocalDate.now()
LocalDate.fromYearMonthDay(today.getYear, today.getMonth.getValue, today.getDayOfMonth)
case CQLDateTimeNow => Instant.now(Clock.system(ZoneId.of("EST", ZoneId.SHORT_IDS)))
case CQLDateTime(yy, mm, dd, hr, ms, sc, mi) =>
Instant.parse(f"$yy%4d-$mm%2d-$dd%2dT$hr%2d:$ms%2d:$sc%2d$mi%3d")
case p@_ => p
}
}
} def fileToCQLBlob(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer) = FileToByteBuffer(fileName,timeOut) def cqlBlobToFile(blob: CQLBlob, fileName: String)(
implicit mat: Materializer) = ByteBufferToFile(blob,fileName)
}
MongoEngine.scala
import java.text.SimpleDateFormat import akka.NotUsed
import akka.stream.alpakka.mongodb.scaladsl._
import akka.stream.scaladsl.{Flow, Sink, Source}
import org.mongodb.scala.MongoClient
import org.mongodb.scala.bson.collection.immutable.Document
import org.bson.conversions.Bson
import org.mongodb.scala._
import org.mongodb.scala.model._
import java.util.Calendar import scala.collection.JavaConverters._
import filestreaming.FileStreaming._
import akka.stream.Materializer
import org.mongodb.scala.bson.{BsonArray, BsonBinary} import scala.concurrent._
import scala.concurrent.duration._ object MGOContext { trait MGOCommands object MGOCommands { case class Count(filter: Option[Bson], options: Option[Any]) extends MGOCommands case class Distict(fieldName: String, filter: Option[Bson]) extends MGOCommands /* org.mongodb.scala.FindObservable
import com.mongodb.async.client.FindIterable
val resultDocType = FindIterable[Document]
val resultOption = FindObservable(resultDocType)
.maxScan(...)
.limit(...)
.sort(...)
.project(...) */
case class Find[M](filter: Option[Bson] = None,
andThen: Option[FindObservable[Document] => FindObservable[Document]]= None,
converter: Option[Document => M] = None,
firstOnly: Boolean = false) extends MGOCommands case class DocumentStream(filter: Option[Bson] = None,
andThen: Option[FindObservable[Document] => FindObservable[Document]] = None,
) extends MGOCommands case class Aggregate(pipeLine: Seq[Bson]) extends MGOCommands case class MapReduce(mapFunction: String, reduceFunction: String) extends MGOCommands case class Insert(newdocs: Seq[Document], options: Option[Any] = None) extends MGOCommands case class Delete(filter: Bson, options: Option[Any] = None, onlyOne: Boolean = false) extends MGOCommands case class Replace(filter: Bson, replacement: Document, options: Option[Any] = None) extends MGOCommands case class Update(filter: Bson, update: Bson, options: Option[Any] = None, onlyOne: Boolean = false) extends MGOCommands case class BulkWrite(commands: List[WriteModel[Document]], options: Option[Any] = None) extends MGOCommands } object MGOAdmins { case class DropCollection(collName: String) extends MGOCommands case class CreateCollection(collName: String, options: Option[Any] = None) extends MGOCommands case class ListCollection(dbName: String) extends MGOCommands case class CreateView(viewName: String, viewOn: String, pipeline: Seq[Bson], options: Option[Any] = None) extends MGOCommands case class CreateIndex(key: Bson, options: Option[Any] = None) extends MGOCommands case class DropIndexByName(indexName: String, options: Option[Any] = None) extends MGOCommands case class DropIndexByKey(key: Bson, options: Option[Any] = None) extends MGOCommands case class DropAllIndexes(options: Option[Any] = None) extends MGOCommands } case class MGOContext(
dbName: String,
collName: String,
action: MGOCommands = null
) {
ctx =>
def setDbName(name: String): MGOContext = ctx.copy(dbName = name) def setCollName(name: String): MGOContext = ctx.copy(collName = name) def setCommand(cmd: MGOCommands): MGOContext = ctx.copy(action = cmd)
} object MGOContext {
def apply(db: String, coll: String) = new MGOContext(db, coll) def apply(db: String, coll: String, command: MGOCommands) =
new MGOContext(db, coll, command) } type MGODate = java.util.Date
def mgoDate(yyyy: Int, mm: Int, dd: Int): MGODate = {
val ca = Calendar.getInstance()
ca.set(yyyy,mm,dd)
ca.getTime()
}
def mgoDateTime(yyyy: Int, mm: Int, dd: Int, hr: Int, min: Int, sec: Int): MGODate = {
val ca = Calendar.getInstance()
ca.set(yyyy,mm,dd,hr,min,sec)
ca.getTime()
}
def mgoDateTimeNow: MGODate = {
val ca = Calendar.getInstance()
ca.getTime
} def mgoDateToString(dt: MGODate, formatString: String): String = {
val fmt= new SimpleDateFormat(formatString)
fmt.format(dt)
} type MGOBlob = BsonBinary
type MGOArray = BsonArray def fileToMGOBlob(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer) = FileToByteArray(fileName,timeOut) def mgoBlobToFile(blob: MGOBlob, fileName: String)(
implicit mat: Materializer) = ByteArrayToFile(blob.getData,fileName) def mgoGetStringOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getString(fieldName))
else None
}
def mgoGetIntOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getInteger(fieldName))
else None
}
def mgoGetLonggOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getLong(fieldName))
else None
}
def mgoGetDoubleOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getDouble(fieldName))
else None
}
def mgoGetBoolOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getBoolean(fieldName))
else None
}
def mgoGetDateOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
Some(doc.getDate(fieldName))
else None
}
def mgoGetBlobOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
doc.get(fieldName).asInstanceOf[Option[MGOBlob]]
else None
}
def mgoGetArrayOrNone(doc: Document, fieldName: String) = {
if (doc.keySet.contains(fieldName))
doc.get(fieldName).asInstanceOf[Option[MGOArray]]
else None
} def mgoArrayToDocumentList(arr: MGOArray): scala.collection.immutable.List[org.bson.BsonDocument] = {
(arr.getValues.asScala.toList)
.asInstanceOf[scala.collection.immutable.List[org.bson.BsonDocument]]
} type MGOFilterResult = FindObservable[Document] => FindObservable[Document]
}
object MGOEngine { import MGOContext._
import MGOCommands._
import MGOAdmins._ def mgoExecute[T](ctx: MGOContext)(implicit client: MongoClient): Future[T] = {
val db = client.getDatabase(ctx.dbName)
val coll = db.getCollection(ctx.collName)
ctx.action match {
/* count */
case Count(Some(filter), Some(opt)) =>
coll.count(filter, opt.asInstanceOf[CountOptions])
.toFuture().asInstanceOf[Future[T]]
case Count(Some(filter), None) =>
coll.count(filter).toFuture()
.asInstanceOf[Future[T]]
case Count(None, None) =>
coll.count().toFuture()
.asInstanceOf[Future[T]]
/* distinct */
case Distict(field, Some(filter)) =>
coll.distinct(field, filter).toFuture()
.asInstanceOf[Future[T]]
case Distict(field, None) =>
coll.distinct((field)).toFuture()
.asInstanceOf[Future[T]]
/* find */
case Find(None, None, optConv, false) =>
if (optConv == None) coll.find().toFuture().asInstanceOf[Future[T]]
else coll.find().map(optConv.get).toFuture().asInstanceOf[Future[T]]
case Find(None, None, optConv, true) =>
if (optConv == None) coll.find().first().head().asInstanceOf[Future[T]]
else coll.find().first().map(optConv.get).head().asInstanceOf[Future[T]]
case Find(Some(filter), None, optConv, false) =>
if (optConv == None) coll.find(filter).toFuture().asInstanceOf[Future[T]]
else coll.find(filter).map(optConv.get).toFuture().asInstanceOf[Future[T]]
case Find(Some(filter), None, optConv, true) =>
if (optConv == None) coll.find(filter).first().head().asInstanceOf[Future[T]]
else coll.find(filter).first().map(optConv.get).head().asInstanceOf[Future[T]]
case Find(None, Some(next), optConv, _) =>
if (optConv == None) next(coll.find[Document]()).toFuture().asInstanceOf[Future[T]]
else next(coll.find[Document]()).map(optConv.get).toFuture().asInstanceOf[Future[T]]
case Find(Some(filter), Some(next), optConv, _) =>
if (optConv == None) next(coll.find[Document](filter)).toFuture().asInstanceOf[Future[T]]
else next(coll.find[Document](filter)).map(optConv.get).toFuture().asInstanceOf[Future[T]]
/* aggregate */
case Aggregate(pline) => coll.aggregate(pline).toFuture().asInstanceOf[Future[T]]
/* mapReduce */
case MapReduce(mf, rf) => coll.mapReduce(mf, rf).toFuture().asInstanceOf[Future[T]]
/* insert */
case Insert(docs, Some(opt)) =>
if (docs.size > ) coll.insertMany(docs, opt.asInstanceOf[InsertManyOptions]).toFuture()
.asInstanceOf[Future[T]]
else coll.insertOne(docs.head, opt.asInstanceOf[InsertOneOptions]).toFuture()
.asInstanceOf[Future[T]]
case Insert(docs, None) =>
if (docs.size > ) coll.insertMany(docs).toFuture().asInstanceOf[Future[T]]
else coll.insertOne(docs.head).toFuture().asInstanceOf[Future[T]]
/* delete */
case Delete(filter, None, onlyOne) =>
if (onlyOne) coll.deleteOne(filter).toFuture().asInstanceOf[Future[T]]
else coll.deleteMany(filter).toFuture().asInstanceOf[Future[T]]
case Delete(filter, Some(opt), onlyOne) =>
if (onlyOne) coll.deleteOne(filter, opt.asInstanceOf[DeleteOptions]).toFuture().asInstanceOf[Future[T]]
else coll.deleteMany(filter, opt.asInstanceOf[DeleteOptions]).toFuture().asInstanceOf[Future[T]]
/* replace */
case Replace(filter, replacement, None) =>
coll.replaceOne(filter, replacement).toFuture().asInstanceOf[Future[T]]
case Replace(filter, replacement, Some(opt)) =>
coll.replaceOne(filter, replacement, opt.asInstanceOf[UpdateOptions]).toFuture().asInstanceOf[Future[T]]
/* update */
case Update(filter, update, None, onlyOne) =>
if (onlyOne) coll.updateOne(filter, update).toFuture().asInstanceOf[Future[T]]
else coll.updateMany(filter, update).toFuture().asInstanceOf[Future[T]]
case Update(filter, update, Some(opt), onlyOne) =>
if (onlyOne) coll.updateOne(filter, update, opt.asInstanceOf[UpdateOptions]).toFuture().asInstanceOf[Future[T]]
else coll.updateMany(filter, update, opt.asInstanceOf[UpdateOptions]).toFuture().asInstanceOf[Future[T]]
/* bulkWrite */
case BulkWrite(commands, None) =>
coll.bulkWrite(commands).toFuture().asInstanceOf[Future[T]]
case BulkWrite(commands, Some(opt)) =>
coll.bulkWrite(commands, opt.asInstanceOf[BulkWriteOptions]).toFuture().asInstanceOf[Future[T]] /* drop collection */
case DropCollection(collName) =>
val coll = db.getCollection(collName)
coll.drop().toFuture().asInstanceOf[Future[T]]
/* create collection */
case CreateCollection(collName, None) =>
db.createCollection(collName).toFuture().asInstanceOf[Future[T]]
case CreateCollection(collName, Some(opt)) =>
db.createCollection(collName, opt.asInstanceOf[CreateCollectionOptions]).toFuture().asInstanceOf[Future[T]]
/* list collection */
case ListCollection(dbName) =>
client.getDatabase(dbName).listCollections().toFuture().asInstanceOf[Future[T]]
/* create view */
case CreateView(viewName, viewOn, pline, None) =>
db.createView(viewName, viewOn, pline).toFuture().asInstanceOf[Future[T]]
case CreateView(viewName, viewOn, pline, Some(opt)) =>
db.createView(viewName, viewOn, pline, opt.asInstanceOf[CreateViewOptions]).toFuture().asInstanceOf[Future[T]]
/* create index */
case CreateIndex(key, None) =>
coll.createIndex(key).toFuture().asInstanceOf[Future[T]]
case CreateIndex(key, Some(opt)) =>
coll.createIndex(key, opt.asInstanceOf[IndexOptions]).toFuture().asInstanceOf[Future[T]]
/* drop index */
case DropIndexByName(indexName, None) =>
coll.dropIndex(indexName).toFuture().asInstanceOf[Future[T]]
case DropIndexByName(indexName, Some(opt)) =>
coll.dropIndex(indexName, opt.asInstanceOf[DropIndexOptions]).toFuture().asInstanceOf[Future[T]]
case DropIndexByKey(key, None) =>
coll.dropIndex(key).toFuture().asInstanceOf[Future[T]]
case DropIndexByKey(key, Some(opt)) =>
coll.dropIndex(key, opt.asInstanceOf[DropIndexOptions]).toFuture().asInstanceOf[Future[T]]
case DropAllIndexes(None) =>
coll.dropIndexes().toFuture().asInstanceOf[Future[T]]
case DropAllIndexes(Some(opt)) =>
coll.dropIndexes(opt.asInstanceOf[DropIndexOptions]).toFuture().asInstanceOf[Future[T]]
}
} def mongoStream(ctx: MGOContext)(
implicit client: MongoClient, ec: ExecutionContextExecutor): Source[Document, NotUsed] = {
val db = client.getDatabase(ctx.dbName)
val coll = db.getCollection(ctx.collName)
ctx.action match {
case DocumentStream(None, None) =>
MongoSource(coll.find())
case DocumentStream(Some(filter), None) =>
MongoSource(coll.find(filter))
case DocumentStream(None, Some(next)) =>
MongoSource(next(coll.find()))
case DocumentStream(Some(filter), Some(next)) =>
MongoSource(next(coll.find(filter)))
}
} } object MongoActionStream {
import MGOContext._ case class StreamingInsert[A](dbName: String,
collName: String,
converter: A => Document,
parallelism: Int =
) extends MGOCommands case class StreamingDelete[A](dbName: String,
collName: String,
toFilter: A => Bson,
parallelism: Int = ,
justOne: Boolean = false
) extends MGOCommands case class StreamingUpdate[A](dbName: String,
collName: String,
toFilter: A => Bson,
toUpdate: A => Bson,
parallelism: Int = ,
justOne: Boolean = false
) extends MGOCommands case class InsertAction[A](ctx: StreamingInsert[A])(
implicit mongoClient: MongoClient) { val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName) def performOnRow(implicit ec: ExecutionContext): Flow[A, Document, NotUsed] =
Flow[A].map(ctx.converter)
.mapAsync(ctx.parallelism)(doc => collection.insertOne(doc).toFuture().map(_ => doc))
} case class UpdateAction[A](ctx: StreamingUpdate[A])(
implicit mongoClient: MongoClient) { val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName) def performOnRow(implicit ec: ExecutionContext): Flow[A, A, NotUsed] =
if (ctx.justOne) {
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.updateOne(ctx.toFilter(a), ctx.toUpdate(a)).toFuture().map(_ => a))
} else
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.updateMany(ctx.toFilter(a), ctx.toUpdate(a)).toFuture().map(_ => a))
} case class DeleteAction[A](ctx: StreamingDelete[A])(
implicit mongoClient: MongoClient) { val database = mongoClient.getDatabase(ctx.dbName)
val collection = database.getCollection(ctx.collName) def performOnRow(implicit ec: ExecutionContext): Flow[A, A, NotUsed] =
if (ctx.justOne) {
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.deleteOne(ctx.toFilter(a)).toFuture().map(_ => a))
} else
Flow[A]
.mapAsync(ctx.parallelism)(a =>
collection.deleteMany(ctx.toFilter(a)).toFuture().map(_ => a))
} }
import org.mongodb.scala._
import scala.concurrent._
import scala.concurrent.duration._ object MGOHelpers { implicit class DocumentObservable[C](val observable: Observable[Document]) extends ImplicitObservable[Document] {
override val converter: (Document) => String = (doc) => doc.toJson
} implicit class GenericObservable[C](val observable: Observable[C]) extends ImplicitObservable[C] {
override val converter: (C) => String = (doc) => doc.toString
} trait ImplicitObservable[C] {
val observable: Observable[C]
val converter: (C) => String def results(): Seq[C] = Await.result(observable.toFuture(), seconds)
def headResult() = Await.result(observable.head(), seconds)
def printResults(initial: String = ""): Unit = {
if (initial.length > ) print(initial)
results().foreach(res => println(converter(res)))
}
def printHeadResult(initial: String = ""): Unit = println(s"${initial}${converter(headResult())}")
} def getResult[T](fut: Future[T], timeOut: Duration = second): T = {
Await.result(fut,timeOut)
}
def getResults[T](fut: Future[Iterable[T]], timeOut: Duration = second): Iterable[T] = {
Await.result(fut,timeOut)
} }
FileStreaming.scala
package filestreaming
import java.io.{InputStream, ByteArrayInputStream}
import java.nio.ByteBuffer
import java.nio.file.Paths import akka.stream.{Materializer}
import akka.stream.scaladsl.{FileIO, StreamConverters} import scala.concurrent.{Await}
import akka.util._
import scala.concurrent.duration._ object FileStreaming {
def FileToByteBuffer(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer):ByteBuffer = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
(Await.result(fut, timeOut)).toByteBuffer
} def FileToByteArray(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer): Array[Byte] = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
(Await.result(fut, timeOut)).toArray
} def FileToInputStream(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer): InputStream = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
val buf = (Await.result(fut, timeOut)).toArray
new ByteArrayInputStream(buf)
} def ByteBufferToFile(byteBuf: ByteBuffer, fileName: String)(
implicit mat: Materializer) = {
val ba = new Array[Byte](byteBuf.remaining())
byteBuf.get(ba,,ba.length)
val baInput = new ByteArrayInputStream(ba)
val source = StreamConverters.fromInputStream(() => baInput) //ByteBufferInputStream(bytes))
source.runWith(FileIO.toPath(Paths.get(fileName)))
} def ByteArrayToFile(bytes: Array[Byte], fileName: String)(
implicit mat: Materializer) = {
val bb = ByteBuffer.wrap(bytes)
val baInput = new ByteArrayInputStream(bytes)
val source = StreamConverters.fromInputStream(() => baInput) //ByteBufferInputStream(bytes))
source.runWith(FileIO.toPath(Paths.get(fileName)))
} def InputStreamToFile(is: InputStream, fileName: String)(
implicit mat: Materializer) = {
val source = StreamConverters.fromInputStream(() => is)
source.runWith(FileIO.toPath(Paths.get(fileName)))
} }
FileStreaming.scala
package filestreaming
import java.io.{InputStream, ByteArrayInputStream}
import java.nio.ByteBuffer
import java.nio.file.Paths import akka.stream.{Materializer}
import akka.stream.scaladsl.{FileIO, StreamConverters} import scala.concurrent.{Await}
import akka.util._
import scala.concurrent.duration._ object FileStreaming {
def FileToByteBuffer(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer):ByteBuffer = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
(Await.result(fut, timeOut)).toByteBuffer
} def FileToByteArray(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer): Array[Byte] = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
(Await.result(fut, timeOut)).toArray
} def FileToInputStream(fileName: String, timeOut: FiniteDuration = seconds)(
implicit mat: Materializer): InputStream = {
val fut = FileIO.fromPath(Paths.get(fileName)).runFold(ByteString()) { case (hd, bs) =>
hd ++ bs
}
val buf = (Await.result(fut, timeOut)).toArray
new ByteArrayInputStream(buf)
} def ByteBufferToFile(byteBuf: ByteBuffer, fileName: String)(
implicit mat: Materializer) = {
val ba = new Array[Byte](byteBuf.remaining())
byteBuf.get(ba,,ba.length)
val baInput = new ByteArrayInputStream(ba)
val source = StreamConverters.fromInputStream(() => baInput) //ByteBufferInputStream(bytes))
source.runWith(FileIO.toPath(Paths.get(fileName)))
} def ByteArrayToFile(bytes: Array[Byte], fileName: String)(
implicit mat: Materializer) = {
val bb = ByteBuffer.wrap(bytes)
val baInput = new ByteArrayInputStream(bytes)
val source = StreamConverters.fromInputStream(() => baInput) //ByteBufferInputStream(bytes))
source.runWith(FileIO.toPath(Paths.get(fileName)))
} def InputStreamToFile(is: InputStream, fileName: String)(
implicit mat: Materializer) = {
val source = StreamConverters.fromInputStream(() => is)
source.runWith(FileIO.toPath(Paths.get(fileName)))
} }
HikariCPool.scala
package jdbcengine
import scala.collection.mutable
import scala.concurrent.duration.Duration
import scala.language.implicitConversions
import com.typesafe.config._
import java.util.concurrent.TimeUnit
import java.util.Properties
import scalikejdbc.config._
import com.typesafe.config.Config
import com.zaxxer.hikari._
import scalikejdbc.ConnectionPoolFactoryRepository /** Extension methods to make Typesafe Config easier to use */
class ConfigExtensionMethods(val c: Config) extends AnyVal {
import scala.collection.JavaConverters._ def getBooleanOr(path: String, default: => Boolean = false) = if(c.hasPath(path)) c.getBoolean(path) else default
def getIntOr(path: String, default: => Int = ) = if(c.hasPath(path)) c.getInt(path) else default
def getStringOr(path: String, default: => String = null) = if(c.hasPath(path)) c.getString(path) else default
def getConfigOr(path: String, default: => Config = ConfigFactory.empty()) = if(c.hasPath(path)) c.getConfig(path) else default def getMillisecondsOr(path: String, default: => Long = 0L) = if(c.hasPath(path)) c.getDuration(path, TimeUnit.MILLISECONDS) else default
def getDurationOr(path: String, default: => Duration = Duration.Zero) =
if(c.hasPath(path)) Duration(c.getDuration(path, TimeUnit.MILLISECONDS), TimeUnit.MILLISECONDS) else default def getPropertiesOr(path: String, default: => Properties = null): Properties =
if(c.hasPath(path)) new ConfigExtensionMethods(c.getConfig(path)).toProperties else default def toProperties: Properties = {
def toProps(m: mutable.Map[String, ConfigValue]): Properties = {
val props = new Properties(null)
m.foreach { case (k, cv) =>
val v =
if(cv.valueType() == ConfigValueType.OBJECT) toProps(cv.asInstanceOf[ConfigObject].asScala)
else if(cv.unwrapped eq null) null
else cv.unwrapped.toString
if(v ne null) props.put(k, v)
}
props
}
toProps(c.root.asScala)
} def getBooleanOpt(path: String): Option[Boolean] = if(c.hasPath(path)) Some(c.getBoolean(path)) else None
def getIntOpt(path: String): Option[Int] = if(c.hasPath(path)) Some(c.getInt(path)) else None
def getStringOpt(path: String) = Option(getStringOr(path))
def getPropertiesOpt(path: String) = Option(getPropertiesOr(path))
} object ConfigExtensionMethods {
@inline implicit def configExtensionMethods(c: Config): ConfigExtensionMethods = new ConfigExtensionMethods(c)
} trait HikariConfigReader extends TypesafeConfigReader {
self: TypesafeConfig => // with TypesafeConfigReader => //NoEnvPrefix => import ConfigExtensionMethods.configExtensionMethods def getFactoryName(dbName: Symbol): String = {
val c: Config = config.getConfig(envPrefix + "db." + dbName.name)
c.getStringOr("poolFactoryName", ConnectionPoolFactoryRepository.COMMONS_DBCP)
} def hikariCPConfig(dbName: Symbol): HikariConfig = { val hconf = new HikariConfig()
val c: Config = config.getConfig(envPrefix + "db." + dbName.name) // Connection settings
if (c.hasPath("dataSourceClass")) {
hconf.setDataSourceClassName(c.getString("dataSourceClass"))
} else {
Option(c.getStringOr("driverClassName", c.getStringOr("driver"))).map(hconf.setDriverClassName _)
}
hconf.setJdbcUrl(c.getStringOr("url", null))
c.getStringOpt("user").foreach(hconf.setUsername)
c.getStringOpt("password").foreach(hconf.setPassword)
c.getPropertiesOpt("properties").foreach(hconf.setDataSourceProperties) // Pool configuration
hconf.setConnectionTimeout(c.getMillisecondsOr("connectionTimeout", ))
hconf.setValidationTimeout(c.getMillisecondsOr("validationTimeout", ))
hconf.setIdleTimeout(c.getMillisecondsOr("idleTimeout", ))
hconf.setMaxLifetime(c.getMillisecondsOr("maxLifetime", ))
hconf.setLeakDetectionThreshold(c.getMillisecondsOr("leakDetectionThreshold", ))
hconf.setInitializationFailFast(c.getBooleanOr("initializationFailFast", false))
c.getStringOpt("connectionTestQuery").foreach(hconf.setConnectionTestQuery)
c.getStringOpt("connectionInitSql").foreach(hconf.setConnectionInitSql)
val numThreads = c.getIntOr("numThreads", )
hconf.setMaximumPoolSize(c.getIntOr("maxConnections", numThreads * ))
hconf.setMinimumIdle(c.getIntOr("minConnections", numThreads))
hconf.setPoolName(c.getStringOr("poolName", dbName.name))
hconf.setRegisterMbeans(c.getBooleanOr("registerMbeans", false)) // Equivalent of ConnectionPreparer
hconf.setReadOnly(c.getBooleanOr("readOnly", false))
c.getStringOpt("isolation").map("TRANSACTION_" + _).foreach(hconf.setTransactionIsolation)
hconf.setCatalog(c.getStringOr("catalog", null)) hconf }
} import scalikejdbc._
trait ConfigDBs {
self: TypesafeConfigReader with TypesafeConfig with HikariConfigReader => def setup(dbName: Symbol = ConnectionPool.DEFAULT_NAME): Unit = {
getFactoryName(dbName) match {
case "hikaricp" => {
val hconf = hikariCPConfig(dbName)
val hikariCPSource = new HikariDataSource(hconf)
if (hconf.getDriverClassName != null && hconf.getDriverClassName.trim.nonEmpty) {
Class.forName(hconf.getDriverClassName)
}
ConnectionPool.add(dbName, new DataSourceConnectionPool(hikariCPSource))
}
case _ => {
val JDBCSettings(url, user, password, driver) = readJDBCSettings(dbName)
val cpSettings = readConnectionPoolSettings(dbName)
if (driver != null && driver.trim.nonEmpty) {
Class.forName(driver)
}
ConnectionPool.add(dbName, url, user, password, cpSettings)
}
}
} def setupAll(): Unit = {
loadGlobalSettings()
dbNames.foreach { dbName => setup(Symbol(dbName)) }
} def close(dbName: Symbol = ConnectionPool.DEFAULT_NAME): Unit = {
ConnectionPool.close(dbName)
} def closeAll(): Unit = {
ConnectionPool.closeAll
} } object ConfigDBs extends ConfigDBs
with TypesafeConfigReader
with StandardTypesafeConfig
with HikariConfigReader case class ConfigDBsWithEnv(envValue: String) extends ConfigDBs
with TypesafeConfigReader
with StandardTypesafeConfig
with HikariConfigReader
with EnvPrefix { override val env = Option(envValue)
MongoStreamDemo.scala
import akka.actor.ActorSystem
import akka.stream.ActorMaterializer
import org.mongodb.scala._
import org.mongodb.scala.connection._
import scala.collection.JavaConverters._ object MongoStream extends App {
import MGOContext._
import MGOEngine._
import MGOCommands._
import MGOHelpers._ val clusterSettings = ClusterSettings.builder()
.hosts(List(new ServerAddress("localhost:27017")).asJava).build()
val clientSettings = MongoClientSettings.builder().clusterSettings(clusterSettings).build()
implicit val client = MongoClient(clientSettings) implicit val system = ActorSystem()
implicit val mat = ActorMaterializer()
implicit val ec = system.dispatcher case class PO (
ponum: String,
podate: MGODate,
vendor: String,
remarks: Option[String],
podtl: Option[MGOArray]
)
def toPO(doc: Document): PO = {
PO(
ponum = doc.getString("ponum"),
podate = doc.getDate("podate"),
vendor = doc.getString("vendor"),
remarks = mgoGetStringOrNone(doc,"remarks"),
podtl = mgoGetArrayOrNone(doc,"podtl")
)
}
case class PODTL(
item: String,
price: Double,
qty: Int,
packing: Option[String],
payTerm: Option[String]
)
def toPODTL(podtl: Document): PODTL = {
PODTL(
item = podtl.getString("item"),
price = podtl.getDouble("price"),
qty = podtl.getInteger("qty"),
packing = mgoGetStringOrNone(podtl,"packing"),
payTerm = mgoGetStringOrNone(podtl,"payterm")
)
} def showPO(po: PO) = {
println(s"po number: ${po.ponum}")
println(s"po date: ${mgoDateToString(po.podate,"yyyy-MM-dd")}")
println(s"vendor: ${po.vendor}")
if (po.remarks != None)
println(s"remarks: ${po.remarks.get}")
po.podtl match {
case Some(barr) =>
mgoArrayToDocumentList(barr)
.map { dc => toPODTL(dc)}
.foreach { doc: PODTL =>
print(s"==>Item: ${doc.item} ")
print(s"price: ${doc.price} ")
print(s"qty: ${doc.qty} ")
doc.packing.foreach(pk => print(s"packing: ${pk} "))
doc.payTerm.foreach(pt => print(s"payTerm: ${pt} "))
println("")
}
case _ =>
}
}
import org.mongodb.scala.model.Projections._
import MongoActionStream._
import MGOEngine._
import akka.stream.scaladsl.{Sink, Source} val proj: MGOFilterResult = find => find.projection(exclude("handler","_id"))
val ctx = MGOContext("testdb","po").setCommand(
DocumentStream(filter = None, andThen = Some(proj))) val stream = mongoStream(ctx).map(toPO).runWith(Sink.foreach(showPO)) println(getResult(mongoStream(ctx).map(toPO).runWith(Sink.foreach(showPO)))) import jdbcengine._
import JDBCEngine._
import scalikejdbc._ case class DataRow (
rowid: Long,
measureid: Long,
state: String,
county: String,
year: Int,
value: Int
)
val toRow: WrappedResultSet => DataRow = rs => DataRow(
rowid = rs.long("ROWID"),
measureid = rs.long("MEASUREID"),
state = rs.string("STATENAME"),
county = rs.string("COUNTYNAME"),
year = rs.int("REPORTYEAR"),
value = rs.int("VALUE")
) //construct the context
val h2ctx = JDBCQueryContext[DataRow](
dbName = 'h2,
statement = "select * from AQMRPT",
extractor = toRow
) //source from h2 database
val jdbcSource = jdbcAkkaStream(h2ctx) //document converter
def rowToDoc: DataRow => Document = row => Document (
"rowid" -> row.rowid,
"measureid" -> row.measureid,
"state" -> row.state,
"county" -> row.county,
"year" -> row.year,
"value" -> row.value
)
def docToRow: Document => DataRow = doc => DataRow (
rowid = doc.getLong("rowid"),
measureid = doc.getLong("measureid"),
state = doc.getString("state"),
county = doc.getString("county"),
year = doc.getInteger("year"),
value = doc.getInteger("value")
)
//setup context
val mgoctx = StreamingInsert("testdb","members",rowToDoc)
val mgoActionStream = new MongoActionStream.InsertAction[DataRow](mgoctx)
val mgoActionFlow = mgoActionStream.performOnRow.map(docToRow)
val sink = Sink.foreach[DataRow]{ r =>
println(s"${r.rowid} ${r.state} ${r.county} ${r.year} ${r.value}")
} //config jdbc drivers
ConfigDBsWithEnv("dev").setup('h2)
ConfigDBsWithEnv("dev").loadGlobalSettings() val sts = jdbcSource.take().via(mgoActionFlow).to(sink).run() val mgoCtxPrint = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None)) mongoStream(mgoCtxPrint).map(docToRow).to(sink).run() import com.datastax.driver.core._
import cassandraengine._
import CQLEngine._
import org.mongodb.scala.model.Filters._ //data row converter
val cqlToDataRow = (rs: Row) => DataRow(
rowid = rs.getLong("ROWID"),
measureid = rs.getLong("MEASUREID"),
state = rs.getString("STATENAME"),
county = rs.getString("COUNTYNAME"),
year = rs.getInt("REPORTYEAR"),
value = rs.getInt("VALUE")
) import org.bson.conversions._
import org.mongodb.scala.model.Updates._ //#init-session
implicit val session = Cluster.builder
.addContactPoint("127.0.0.1")
.withPort()
.build
.connect() //setup context
val cqlCtx = CQLQueryContext("select * from testdb.aqmrpt",cqlToDataRow)
//construct source
val cqlSource = cassandraStream(cqlCtx) def toFilter: DataRow => Bson = row => {
and(equal("rowid",row.rowid), lt("value",))
}
def toUpdate: DataRow => Bson = row => {
set("value" , row.value * )
}
val mgoCtxUpdate = StreamingUpdate("testdb","members",toFilter,toUpdate)
val mgoUpdateFlow = new MongoActionStream.UpdateAction[DataRow](mgoCtxUpdate)
cqlSource.via(mgoUpdateFlow.performOnRow).to(sink).run() import org.bson.conversions._
import org.mongodb.scala.model.Filters._
def toDelFilter: DataRow => Bson = row => and(equal("rowid",row.rowid),equal("value",)) val mgoCtxDel = StreamingDelete[DataRow]("testdb","members",toDelFilter)
val mgoDelFlow = new DeleteAction[DataRow](mgoCtxDel)
val mgoCtxSrc = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None))
mongoStream(mgoCtxSrc).map(docToRow).via(mgoDelFlow.performOnRow).to(Sink.ignore).run() import org.mongodb.scala.model.Sorts._
val sortDsc: MGOFilterResult = find => find.sort(descending("rowid"))
val mgoCtxShow = MGOContext("testdb","members").setCommand(
DocumentStream(filter = None, andThen = Some(sortDsc))) mongoStream(mgoCtxShow).map(docToRow).to(sink).run() scala.io.StdIn.readLine() system.terminate() }