Agni is a library to query and access Cassandra for Scala. It allows you to store your case classes into Cassandra and conversely.
TBD
Fully functional Cassandra client for Scala
License: MIT License
TupleBinder
is automatically generated as follows:
trait TupleBinder {
implicit def tuple1Binder[A](implicit
a: RowSerializer[A]
): Binder[Tuple1[A]] =
new Binder[Tuple1[A]] {
def apply(bound: BoundStatement, ver: ProtocolVersion, xs: Tuple1[A]): Result[BoundStatement] =
(a(bound, 0, xs._1, ver)).map(_ => bound)
}
implicit def tuple2Binder[A, B](implicit
a: RowSerializer[A], b: RowSerializer[B]
): Binder[(A, B)] =
new Binder[(A, B)] {
def apply(bound: BoundStatement, ver: ProtocolVersion, xs: (A, B)): Result[BoundStatement] =
(a(bound, 0, xs._1, ver) *> b(bound, 1, xs._2, ver)).map(_ => bound)
}
implicit def tuple3Binder[A, B, C](implicit
a: RowSerializer[A], b: RowSerializer[B], c: RowSerializer[C]
): Binder[(A, B, C)] =
new Binder[(A, B, C)] {
def apply(bound: BoundStatement, ver: ProtocolVersion, xs: (A, B, C)): Result[BoundStatement] =
(a(bound, 0, xs._1, ver) *> b(bound, 1, xs._2, ver) *> c(bound, 2, xs._3, ver)).map(_ => bound)
}
// ...
}
Even though BoundStatement has been immutable since 4.0, all bind operations are discarded because the passed bound
is always returned.
It should provide artifacts for Scala 2.12.
It type conversions are:
text
<=> String
time uuid
<=> UUID
counter
<=> Long
For the implementation of cats-effect
module's Task
only need Async.async
so IO
is too strong.
I think that TravisCI has a comparative advantage over Wercker as follows:
Changed default constructor signature of UserType
, because updated version to java-driver to 3.2.0.
[error] /pipeline/source/examples/src/main/scala/Main.scala:118:28: type mismatch;
[error] found : (Main.Author, Main.Author) => Int
[error] required: Ordering[Main.Author]
[error] (x: Author, y: Author) => y.id.compareTo(x.id)
[error] ^
[info] - should run the program normaly
[error] one error found
I want to make to a function with an implicit parameter, rather than Kleisli
(or divide implementation?). Because I think that difficult to use with only the Kleisli
interface.
We want a solution to test over a real C*. CassandraUnit is a good start point to see. I'm trying to research to determine whether to adopt it or implement an alternative by ourselves.
I noticed you were using Iota and I wanted to give you a heads up for when you update to a more recent version.
frees-io/iota#114 changes the bounds on CopK.Inject
. The session code will need to be updated as follows:
object SessionOps {
- implicit def sessionOpsForIota[F[_] <: CopK[_, _]](implicit I: CopK.Inject[SessionOp, F]): SessionOps[F] = new SessionOps
+ implicit def sessionOpsForIota[F[A] <: CopK[_, A]](implicit I: CopK.Inject[SessionOp, F]): SessionOps[F] = new SessionOps
}
Cheers!
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