{-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE DuplicateRecordFields #-} {-# LANGUAGE NamedFieldPuns #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE StrictData #-} {-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Amazonka.Glue.Types.Join -- Copyright : (c) 2013-2023 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) module Amazonka.Glue.Types.Join where import qualified Amazonka.Core as Core import qualified Amazonka.Core.Lens.Internal as Lens import qualified Amazonka.Data as Data import Amazonka.Glue.Types.JoinColumn import Amazonka.Glue.Types.JoinType import qualified Amazonka.Prelude as Prelude -- | Specifies a transform that joins two datasets into one dataset using a -- comparison phrase on the specified data property keys. You can use -- inner, outer, left, right, left semi, and left anti joins. -- -- /See:/ 'newJoin' smart constructor. data Join = Join' { -- | The name of the transform node. name :: Prelude.Text, -- | The data inputs identified by their node names. inputs :: Prelude.NonEmpty Prelude.Text, -- | Specifies the type of join to be performed on the datasets. joinType :: JoinType, -- | A list of the two columns to be joined. columns :: Prelude.NonEmpty JoinColumn } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'Join' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'name', 'join_name' - The name of the transform node. -- -- 'inputs', 'join_inputs' - The data inputs identified by their node names. -- -- 'joinType', 'join_joinType' - Specifies the type of join to be performed on the datasets. -- -- 'columns', 'join_columns' - A list of the two columns to be joined. newJoin :: -- | 'name' Prelude.Text -> -- | 'inputs' Prelude.NonEmpty Prelude.Text -> -- | 'joinType' JoinType -> -- | 'columns' Prelude.NonEmpty JoinColumn -> Join newJoin pName_ pInputs_ pJoinType_ pColumns_ = Join' { name = pName_, inputs = Lens.coerced Lens.# pInputs_, joinType = pJoinType_, columns = Lens.coerced Lens.# pColumns_ } -- | The name of the transform node. join_name :: Lens.Lens' Join Prelude.Text join_name = Lens.lens (\Join' {name} -> name) (\s@Join' {} a -> s {name = a} :: Join) -- | The data inputs identified by their node names. join_inputs :: Lens.Lens' Join (Prelude.NonEmpty Prelude.Text) join_inputs = Lens.lens (\Join' {inputs} -> inputs) (\s@Join' {} a -> s {inputs = a} :: Join) Prelude.. Lens.coerced -- | Specifies the type of join to be performed on the datasets. join_joinType :: Lens.Lens' Join JoinType join_joinType = Lens.lens (\Join' {joinType} -> joinType) (\s@Join' {} a -> s {joinType = a} :: Join) -- | A list of the two columns to be joined. join_columns :: Lens.Lens' Join (Prelude.NonEmpty JoinColumn) join_columns = Lens.lens (\Join' {columns} -> columns) (\s@Join' {} a -> s {columns = a} :: Join) Prelude.. Lens.coerced instance Data.FromJSON Join where parseJSON = Data.withObject "Join" ( \x -> Join' Prelude.<$> (x Data..: "Name") Prelude.<*> (x Data..: "Inputs") Prelude.<*> (x Data..: "JoinType") Prelude.<*> (x Data..: "Columns") ) instance Prelude.Hashable Join where hashWithSalt _salt Join' {..} = _salt `Prelude.hashWithSalt` name `Prelude.hashWithSalt` inputs `Prelude.hashWithSalt` joinType `Prelude.hashWithSalt` columns instance Prelude.NFData Join where rnf Join' {..} = Prelude.rnf name `Prelude.seq` Prelude.rnf inputs `Prelude.seq` Prelude.rnf joinType `Prelude.seq` Prelude.rnf columns instance Data.ToJSON Join where toJSON Join' {..} = Data.object ( Prelude.catMaybes [ Prelude.Just ("Name" Data..= name), Prelude.Just ("Inputs" Data..= inputs), Prelude.Just ("JoinType" Data..= joinType), Prelude.Just ("Columns" Data..= columns) ] )