package orm
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Type Members
- case class AlwaysOne[Schema[_]](children: List[Schema[_]]) extends ChildrenInSchema[Schema] with Product with Serializable
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trait
AsDebugString[Schema[_]] extends AnyRef
- Annotations
- @implicitNotFound( ... )
- case class BatchDetails(batchSize: Int, index: Int, whereForTable: WhereForTable) extends Product with Serializable
- sealed trait BulkDataPointer extends AnyRef
- sealed trait ChildArity extends AnyRef
- trait ChildBulkDataPointer extends BulkDataPointer
- sealed trait ChildEntity extends OrmEntity
- trait ChildOrmBulkData[E] extends OrmBulkData[E]
- sealed abstract class ChildrenInSchema[Schema[_]] extends AnyRef
- case class EntityAndFieldsAndPath[E <: OrmEntity](entity: E, fieldsAndPath: OrmGettersAndPath) extends Product with Serializable
- case class EntityAndPath[E <: OrmEntity](entity: E, paths: Array[List[Int]]) extends Product with Serializable
- case class EntityStrategy[X](mainEntityFn: (MainEntity) ⇒ X, childFn: (OrmEntity) ⇒ (ChildEntity) ⇒ X) extends Product with Serializable
- case class FanInOrmData[Context, T](t: T, name: String, idInParentData: GetKey, idForChild: GetKey, executeWhenMatch: (Context, T, List[Any]) ⇒ Context, data: Array[List[Any]], children: List[OrmData[Context]]) extends OrmData[Context] with Product with Serializable
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case class
FanoutOrmData[Context, T](t: T, name: String, flyweightKey: FlyweightKey, executeWhenMatch: (Context, T, List[Any]) ⇒ Context, ar: Array[List[Any]], children: List[OrmData[Context]]) extends OrmData[Context] with Product with Serializable
The data read from the database by ORM.
The data read from the database by ORM. Later this should be replaceable by a cursor
This is just for the 'numeric keys' story
So important features:*
- We need to process one to many tables and their children sensibly using the next mechanism
- That means we will process all the things for my id, and then tell the children The data is sorted by id. Children are sorted by child Id Note that we need the id to by ordered... ANd that's awkward because we don't know how big the composible key is... suppose we have Keys1(a), Keys2(a,b), Keys3(a,b,c)... ah do we actually need the id or can we go flyweight?
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trait
FastOrmSql extends AnyRef
This is the layer of abstraction that needs to be rewritten for different databases.
This is the layer of abstraction that needs to be rewritten for different databases. It's just a block of sql for each operation
- trait FastReader[T] extends (MainEntity) ⇒ (Int) ⇒ Stream[T]
- trait FastReaderDal extends AnyRef
- class FastReaderImpl[T] extends FastReader[T]
- trait FieldFilter[F[_]] extends AnyRef
- case class FieldType[T](name: String, typeName: String, numericSort: Boolean)(implicit writeToJson: WriteToJson[T], getFromJson: GetFromJson[T], classTag: ClassTag[T]) extends Product with Serializable
- case class FieldTypeAndIndex[T](fieldType: FieldType[T], index: Int) extends Product with Serializable
- trait FieldTypeToIndex extends AnyRef
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trait
FindOrmEntityAndField[Schema[_]] extends AnyRef
Asingle item in the schema might be in several places in the database (a key/a foreign key).
Asingle item in the schema might be in several places in the database (a key/a foreign key). That item might be represented by multiple fields (e.g. a composite string, or a date where the date is stored in multiple fields
here the list reflects the multiple places (keys/foreign keys) and the value getter itself understands about getting values
- trait FlyweightKey extends Comparator[List[Any]]
- case class FoundChildBulkDataPointer(nth: Int, indexIntoBulkData: Int, parentId: Any, bulkData: ChildOrmBulkData[_], children: List[ChildBulkDataPointer]) extends ChildBulkDataPointer with Product with Serializable
- class GetKey extends (List[Any]) ⇒ Any
- case class IDWhereForTable[ID](idField: FieldType[ID], id: ID) extends WhereForTable with Product with Serializable
- trait IsLinkFieldFilter[F[_]] extends FieldFilter[F]
- trait IsObjectFieldFilter[F[_]] extends FieldFilter[F]
- trait IsSimpleFieldFilter[F[_]] extends FieldFilter[F]
- trait JsonToStream[Context, F[_], T] extends AnyRef
- trait JsonToStreamFor[Context, Schema[_]] extends AnyRef
- case class Key2(key1: FlyweightKey, key2: FlyweightKey) extends FlyweightKey with Product with Serializable
- case class KeyInt(leftIndex: Int, rightIndex: Int) extends FlyweightKey with Product with Serializable
- case class KeyString(leftIndex: Int, rightIndex: Int) extends FlyweightKey with Product with Serializable
- case class Keys(list: List[FieldType[_]]) extends Product with Serializable
- case class KeysAndIndex(list: List[(Int, FieldType[_])]) extends Product with Serializable
- trait LinkBuilder[F[_], Data] extends AnyRef
- case class MainBulkData(ormEntity: MainEntity, tableNameToData: Map[String, List[List[Any]]], children: List[ChildOrmBulkData[_]]) extends OrmBulkData[MainEntity] with Product with Serializable
- case class MainBulkDataPointer(nth: Int, bulkData: OrmBulkData[_], children: List[ChildBulkDataPointer]) extends BulkDataPointer with Product with Serializable
- case class MainEntity(tableName: TableName, alias: String, primaryKeyField: Keys, dataFields: List[FieldType[_]], children: List[ChildEntity]) extends OrmEntity with Product with Serializable
- case class MainOrmData[Context, T](t: T, name: String, contextMaker: () ⇒ Context, executeWhenMatch: (Context, T, List[Any]) ⇒ Context, ar: Array[List[Any]], children: List[OrmData[Context]]) extends Product with Serializable
- case class ManyToOneBulkData(parentEntity: OrmEntity, ormEntity: ManyToOneEntity, tableNameToData: Map[String, List[List[Any]]], children: List[ChildOrmBulkData[_]]) extends ChildOrmBulkData[ManyToOneEntity] with Product with Serializable
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case class
ManyToOneEntity(tableName: TableName, alias: String, primaryKeyField: Keys, idInParent: Keys, dataFields: List[FieldType[_]], children: List[ChildEntity]) extends SingleChild with Product with Serializable
this is typically a look up reference.
this is typically a look up reference. It is very similar to 'oneToZeroOneEntity' except that many of the parent are likely to share the same value. Thus it won't be in sync
- case class NullBulkDataPointer(bulkData: ChildOrmBulkData[_], children: List[ChildBulkDataPointer]) extends ChildBulkDataPointer with Product with Serializable
- class NumericKeyPopulator[Schema[_]] extends (Array[Any], OrmEntity, List[Any]) ⇒ Array[Any]
- case class OneToManyBulkData(parentEntity: OrmEntity, ormEntity: OneToManyEntity, tableNameToData: Map[String, List[List[Any]]], children: List[ChildOrmBulkData[_]]) extends ChildOrmBulkData[OneToManyEntity] with Product with Serializable
- case class OneToManyEntity(tableName: TableName, alias: String, primaryKeyField: Keys, parentId: Keys, dataFields: List[FieldType[_]], children: List[ChildEntity]) extends ChildEntity with Product with Serializable
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case class
OneToZeroOneEntity(tableName: TableName, alias: String, primaryKeyField: Keys, idInParent: Keys, dataFields: List[FieldType[_]], children: List[ChildEntity]) extends SingleChild with Product with Serializable
This will have zero or one entries for each item in the parent.
This will have zero or one entries for each item in the parent. It will be in 'step' with it... allowing cursors to advance together
- case class OrmBatchConfig(dataSource: DataSource, batchSize: Int, whereForTable: WhereForTable = NullWhereForTable) extends Product with Serializable
- trait OrmBulkData[E] extends AnyRef
- trait OrmData[Context] extends AnyRef
- trait OrmDataFactory[MainT, T] extends AnyRef
- class OrmDataFactoryForMainEntity extends OrmDataFactory[MainEntity, OrmEntity]
- trait OrmEntity extends FieldTypeToIndex
- trait OrmFactory[Schema[_]] extends AnyRef
- class OrmFactoryImpl[Schema[_]] extends OrmFactory[Schema]
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case class
OrmGettersAndPath(ormValueGetters: Array[OrmValueGetter[_]], path: Array[Array[Int]], indicies: Array[Int]) extends Product with Serializable
the orm getter is 'given this data from the database table what is the result.
the orm getter is 'given this data from the database table what is the result. Path and index and where to put the result when we get it
- case class OrmGettersForThisRowAndPath(ormValueGetters: Array[OrmValueGetterForARow[_]], path: Array[Array[Int]], indicies: Array[Int]) extends Product with Serializable
- case class OrmKey[Schema[_], T](arity: ChildArity, key: String, t: Schema[T], path: List[Int], index: Int, children: OrmKeys[Schema]) extends Product with Serializable
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case class
OrmKeys[Schema[_]](links: List[OrmKey[Schema, _]], objects: List[OrmKey[Schema, _]], simple: List[OrmKey[Schema, _]]) extends Product with Serializable
The data in the database is based on tables The data we want in our json or objects is based on an objectgraph There has to be a mapping between the data in the database and the object graph: this is it
The data in the database is based on tables The data we want in our json or objects is based on an objectgraph There has to be a mapping between the data in the database and the object graph: this is it
Example: We have a schema: main: key1 table1/field1 key2 table2/field1 child: childKey1 table1/field2 As can be seen there isn't a simple mapping
This heavily uses type classes, so you can use your own (perhaps existing) schema object. SchemaMapKey[Schema] -> This is how we know what keys exist and what children exist.
Utility putJson: Very useful if you are using APIs because it writes to an outputstream and is much less garbage/memory intensive than turning to a string first toJson: Nicer interface than putJson
Debugging: prettyPrint is really helpful for understanding the schema. It is intended for use in tests printArray prints the array of data retrieved from FastOrm in a way helpful for tests
- trait OrmKeysToJson[Context, Schema[_]] extends AnyRef
- trait OrmMaker[T] extends (MainEntity) ⇒ (Map[OrmEntity, List[List[AnyRef]]]) ⇒ Stream[T]
- class OrmMakerForArrayAny[Schema[_]] extends OrmMaker[Array[Any]]
- class OrmMakerForArrayAnyUsingOrmData[Schema[_]] extends OrmMaker[Array[Any]]
- trait OrmStrategies extends AnyRef
- case class OrmValueGetter[T](tableName: TableName, fieldTypes: List[FieldType[_]])(implicit tx: OrmValueTransformer[T]) extends Product with Serializable
- case class OrmValueGetterForARow[T](tableName: TableName, fieldTypes: Array[FieldTypeAndIndex[_]], tx: OrmValueTransformer[T]) extends Product with Serializable
- trait OrmValueTransformer[T] extends (Array[FieldTypeAndIndex[_]], Array[Any]) ⇒ T
- case class PartitionedSchema[Schema[_]](key: String, links: List[Schema[_]], simple: List[Schema[_]], singleChildObjects: List[PartitionedSchema[Schema]], manyChildObjects: List[(TableName, PartitionedSchema[Schema])]) extends Product with Serializable
- trait Placeholder extends AnyRef
- case class SameIdBulkData(ormEntity: SameIdEntity, tableNameToData: Map[String, List[List[Any]]], children: List[ChildOrmBulkData[_]]) extends ChildOrmBulkData[SameIdEntity] with Product with Serializable
- case class SameIdEntity(tableName: TableName, alias: String, primaryKeyField: Keys, dataFields: List[FieldType[_]], children: List[ChildEntity]) extends SingleChild with Product with Serializable
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trait
SchemaMapKey[Schema[_]] extends AnyRef
THere is a schema of type Schema.
THere is a schema of type Schema. Schema is not the data, is the structure of the data
The type parameter is the type of the data in the field that the schema is pointing to. This is used for things like 'getting from database' and 'putting in json'.
Because schemas hold other schemas, and I am not sure how to handle the schema object itself from a [T] perspective there is a fake T called Placeholder.
- trait SingleChild extends ChildEntity
- class StreamArrayAnyForOneEntity[Schema[_]] extends (Map[OrmEntity, List[List[AnyRef]]]) ⇒ Stream[Array[Any]]
- class StreamArrayAnyForOneEntity2[Schema[_]] extends (Map[OrmEntity, List[List[AnyRef]]]) ⇒ Stream[Array[Any]]
- case class TableAndFieldType[T](tableName: TableName, fieldType: FieldType[T]) extends Product with Serializable
- case class TableAndFieldTypes[Context, T](tableName: TableName, fieldType: List[FieldType[_]])(implicit tx: ValueFromMultipleTableFields[Context, T]) extends Product with Serializable
- case class TableName(tableName: String, description: String) extends Product with Serializable
- trait TableNameForManySchema[Schema[_]] extends AnyRef
- case class TablesAndFieldsAndPaths(map: Map[TableName, OrmGettersAndPath]) extends Product with Serializable
-
class
TaglessOrm extends AnyRef
The journey of data seems to be
The journey of data seems to be
Put into temporary tables Read into memory Transform into a 'thing. Could be a domain object, but usually just seem to want to transform it into list/map/primitive The OrmKeys story is about how to turn it list/map/primitive
Now we tried the arrays story, and it looks too hard for now. Basically it's a great future optimisation, but too brittle at this stage. The arrays story says 'really efficient/read straight from cursor with no intermediate into the list/map/primitive recognising that the list/map/primitive has a different (configurable) structure.
So can I do something around Tagless Interpreters to walk the object graph in the raw data. Reasons for doing this including debugging/tracing/documentation/understanding
- trait ToFieldType[T] extends AnyRef
- trait ToTableAndFieldTypes[Context, Schema[_]] extends AnyRef
- trait ToWritableForm[T] extends (T) ⇒ List[(OrmEntity, List[List[AnyRef]])]
- trait ValueFromMultipleTableFields[Context, T] extends AnyRef
- trait WhereForTable extends SetParams[PreparedStatement]
- trait Write[T] extends AnyRef
- class WriteOrm extends AnyRef
- class WriteToJsonForSchema[Schema[_], Context] extends AnyRef
- case class Zero[Schema[_]]() extends ChildrenInSchema[Schema] with Product with Serializable
- case class ZeroOrMore[Schema[_]](children: List[Schema[_]]) extends ChildrenInSchema[Schema] with Product with Serializable
Value Members
- object AsDebugString
- object BulkDataPointer
- object ChildArity
- object ChildEntity
- object EntityAndPath extends Serializable
- object EntityStrategy extends Serializable
- object FastOrmSql
- object FastReader
- object FastReaderDal
- object FieldFilter
- object FieldType extends Serializable
- object FlyweightKey
- object IsObjectFieldFilter
- object IsSimpleFieldFilter
- object JsonToStream
- object Keys extends Serializable
- object MainBulkData extends Serializable
- object ManyChildren extends ChildArity with Product with Serializable
- object NoChildren extends ChildArity with Product with Serializable
- object NullWhereForTable extends WhereForTable with Product with Serializable
- object OneChild extends ChildArity with Product with Serializable
- object OrmData
- object OrmKeys extends Serializable
- object OrmKeysToJson
- object OrmMaker
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object
OrmStrategies extends OrmStrategies
This applies the sql defined in FastOrmSql to the entities in a composite entity
- object OrmValueTransformer
- object PartitionedSchema extends Serializable
- object SchemaMapKey
- object TableAndFieldType extends Serializable
- object ToFieldType
- object ValueFromMultipleTableFields