com.datastax.spark.connector.japi.JavaGettableByIndexData.scala Maven / Gradle / Ivy
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package com.datastax.spark.connector.japi
import java.lang.{Boolean => JBoolean, Byte => JByte, Double => JDouble, Float => JFloat, Long => JLong, Short => JShort}
import java.math.{BigInteger, BigDecimal => JBigDecimal}
import java.net.InetAddress
import java.nio.ByteBuffer
import java.util.{Date, UUID, List => JList, Map => JMap, Set => JSet}
import org.joda.time.DateTime
import com.datastax.spark.connector.GettableByIndexData
import com.datastax.spark.connector.types.TypeConverter
trait JavaGettableByIndexData extends GettableByIndexData {
/** Generic getter for getting columns of any type.
* Looks the column up by its index. First column starts at index 0. */
def get[T <: AnyRef](index: Int, tc: TypeConverter[T]): T =
_get(index)(tc)
/** Generic getter for getting columns of any type.
* Looks the column up by its index. First column starts at index 0. */
private def _get[T <: AnyRef](index: Int)(implicit tc: TypeConverter[T]): T =
tc.convert(columnValues(index))
/** Equivalent to `getAny` */
def apply(index: Int): AnyRef = getObject(index)
/** Returns a column value by index without applying any conversion.
* The underlying type is the same as the type returned by the low-level Cassandra driver. */
def getObject(index: Int) = _get[Object](index)
/** Returns a `bool` column value. Besides working with `bool` Cassandra type, it can also read
* numbers and strings. Non-zero numbers are converted to `true`, zero is converted to `false`.
* Strings are converted using `String#toBoolean` method.*/
def getBoolean(index: Int) = _get[JBoolean](index)
def getByte(index: Int) = _get[JByte](index)
def getShort(index: Int) = _get[JShort](index)
/** Returns a column value as a 32-bit integer number.
* Besides working with `int` Cassandra type, it can also read
* other integer numbers as `bigint` or `varint` and strings.
* The string must represent a valid integer number.
* The number must be within 32-bit integer range or the `TypeConversionException` will be thrown.*/
def getInt(index: Int) = _get[Integer](index)
/** Returns a column value as a 64-bit integer number.
* Recommended to use with `bigint` and `counter` CQL types
* It can also read other column types as `int`, `varint`, `timestamp` and `string`.
* The string must represent a valid integer number.
* The number must be within 64-bit integer range or
* `com.datastax.spark.connector.types.TypeConversionException`
* will be thrown. When used with timestamps, returns a number of milliseconds since epoch.*/
def getLong(index: Int) = _get[JLong](index)
/** Returns a column value as Float.
* Recommended to use with `float` CQL type.
* This method can be also used to read a `double` or `decimal` column, with some loss of precision.*/
def getFloat(index: Int) = _get[JFloat](index)
/** Returns a column value as Double.
* Recommended to use with `float` and `double` CQL types.
* This method can be also used to read a `decimal` column, with some loss of precision.*/
def getDouble(index: Int) = _get[JDouble](index)
/** Returns the column value converted to a `String` acceptable by CQL.
* All data types that have human readable text representations can be converted.
* Note, this is not the same as calling `getAny(index).toString` which works differently e.g. for dates.*/
def getString(index: Int) = _get[String](index)
/** Returns a `blob` column value as ByteBuffer.
* This method is not suitable for reading other types of columns.
* Columns of type `blob` can be also read as Array[Byte] with the generic `get` method. */
def getBytes(index: Int) = _get[ByteBuffer](index)
/** Returns a `timestamp` or `timeuuid` column value as `java.util.Date`.
* To convert a timestamp to one of other supported date types, use the generic `get` method,
* for example:
* {{{
* row.get[java.sql.Date](0)
* }}}*/
def getDate(index: Int) = _get[Date](index)
/** Returns a `timestamp` or `timeuuid` column value as `org.joda.time.DateTime`. */
def getDateTime(index: Int) = _get[DateTime](index)
/** Returns a `varint` column value.
* Can be used with all other integer types as well as
* with strings containing a valid integer number of arbitrary size. */
def getVarInt(index: Int) = _get[BigInteger](index)
/** Returns a `decimal` column value.
* Can be used with all other floating point types as well as
* with strings containing a valid floating point number of arbitrary precision. */
def getDecimal(index: Int) = _get[JBigDecimal](index)
/** Returns an `uuid` column value.
* Can be used to read a string containing a valid UUID.*/
def getUUID(index: Int) = _get[UUID](index)
/** Returns an `inet` column value.
* Can be used to read a string containing a valid
* Internet address, given either as a host name or IP address.*/
def getInet(index: Int) = _get[InetAddress](index)
/** Returns a column value of User Defined Type */
def getUDTValue(index: Int) = _get[UDTValue](index)
/** Returns a column value of tuple type */
def getTupleValue(index: Int) = _get[TupleValue](index)
/** Reads a `list` column value and returns it as Scala `Vector`.
* A null list is converted to an empty collection.
* Items of the list are converted to the given type.
* This method can be also used to read `set` and `map` column types.
* For `map`, the list items are converted to key-value pairs.*/
def getList(index: Int) = _get[JList[AnyRef]](index)
def getList[T](index: Int)(implicit converter: TypeConverter[T]) = _get[JList[T]](index)
/** Reads a `set` column value.
* A null set is converted to an empty collection.
* Items of the set are converted to the given type.
* This method can be also used to read `list` and `map` column types.
* For `map`, the set items are converted to key-value pairs. */
def getSet(index: Int) = _get[JSet[AnyRef]](index)
def getSet[T](index: Int)(implicit converter: TypeConverter[T]) = _get[JSet[T]](index)
/** Reads a `map` column value.
* A null map is converted to an empty collection.
* Keys and values of the map are converted to the given types. */
def getMap(index: Int) = _get[JMap[AnyRef, AnyRef]](index)
/** Reads a `map` column value.
* A null map is converted to an empty collection.
* Keys and values of the map are converted to the given types.
* @tparam K type of keys, must be given explicitly.
* @tparam V type of values, must be given explicitly.*/
def getMap[K, V](index: Int)(implicit keyConverter: TypeConverter[K], valueConverter: TypeConverter[V]) =
_get[JMap[K, V]](index)
}
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