Class DDCArray<T>
- java.lang.Object
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- org.apache.sysds.runtime.frame.data.columns.Array<T>
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- org.apache.sysds.runtime.frame.data.columns.ACompressedArray<T>
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- org.apache.sysds.runtime.frame.data.columns.DDCArray<T>
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- All Implemented Interfaces:
org.apache.hadoop.io.Writable
public class DDCArray<T> extends ACompressedArray<T>
A dense dictionary version of an column array
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Nested Class Summary
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Nested classes/interfaces inherited from class org.apache.sysds.runtime.frame.data.columns.Array
Array.ArrayIterator
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Constructor Summary
Constructors Constructor Description DDCArray(Array<T> dict, AMapToData map)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description Pair<Types.ValueType,Boolean>
analyzeValueType(int maxCells)
Analyze the column to figure out if the value type can be refined to a better type.Array<T>
append(Array<T> other)
Append other array, if the other array is fitting in current allocated size use that allocated size, otherwise allocate new array to combine the other with this.Array<?>
changeType(Types.ValueType t)
Change the allocated array to a different type.Array<?>
changeTypeWithNulls(Types.ValueType t)
Array<T>
clone()
Overwrite of the java internal clone function for arrays, return a clone of underlying data that is mutable, (not immutable data.) Immutable data is dependent on the individual allocated arraysstatic <T> Array<T>
compressToDDC(Array<T> arr)
static <T> Array<T>
compressToDDC(Array<T> arr, int estimateUnique)
Try to compress array into DDC format.boolean
containsNull()
analyze if the array contains null values.boolean
equals(Array<T> other)
Equals operation on arrays.static long
estimateInMemorySize(int memSizeBitPerElement, int estDistinct, int nRow)
double[]
extractDouble(double[] ret, int rl, int ru)
Extract the sub array into the ret array as doubles.T
get(int index)
Get the value at a given index.byte[]
getAsByteArray()
Return the current allocated Array as a byte[], this is used to serialize the allocated Arrays out to the PythonAPI.double
getAsDouble(int i)
Get the index's value.double
getAsNaNDouble(int i)
Get the index's value.Array<T>
getDict()
long
getExactSerializedSize()
Get the exact serialized size on disk of this array.ArrayFactory.FrameArrayType
getFrameArrayType()
Get the internal FrameArrayType, to specify the encoding of the Types, note there are more Frame Array Types than there is ValueTypes.long
getInMemorySize()
Get in memory size, not counting reference to this object.AMapToData
getMap()
Types.ValueType
getValueType()
Get the current value type of this array.double
hashDouble(int idx)
Hash the given index of the array.boolean
isEmpty()
Get if this array is empty, aka filled with empty values.boolean
isNotEmpty(int i)
boolean
isShallowSerialize()
analyze if this array can be shallow serialized.double[]
minMax()
Get the minimum and maximum double value of this array.double[]
minMax(int l, int u)
Get the minimum and maximum double value of a specific sub part of this array.DDCArray<T>
nullDict()
boolean
possiblyContainsNaN()
static DDCArray<?>
read(DataInput in)
void
readFields(DataInput in)
Array<T>
select(boolean[] select, int nTrue)
Slice out the true indices in the select input and return the sub array.Array<T>
select(int[] indices)
Slice out the specified indices and return the sub array.void
set(int rl, int ru, Array<T> value)
Set range to given arrays value<J> DDCArray<J>
setDict(Array<J> dict)
DDCArray<T>
setMap(AMapToData map)
Array<T>
slice(int rl, int ru)
Slice out the sub range and return new array with the specified type.ArrayCompressionStatistics
statistics(int nSamples)
Get the compression statistics of this array allocation.String
toString()
void
write(DataOutput out)
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Methods inherited from class org.apache.sysds.runtime.frame.data.columns.ACompressedArray
append, append, fill, fill, get, reset, set, set, set, set, setFromOtherType, setFromOtherTypeNz, setNz
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Methods inherited from class org.apache.sysds.runtime.frame.data.columns.Array
analyzeValueType, baseMemoryCost, changeType, changeType, changeType, changeTypeWithNulls, changeTypeWithNulls, equals, findEmpty, findEmptyInverse, getCache, getInternal, getIterator, getMinMaxLength, getNulls, getRecodeMap, setCache, setFromOtherTypeNz, setNz, size
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Constructor Detail
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DDCArray
public DDCArray(Array<T> dict, AMapToData map)
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Method Detail
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getMap
public AMapToData getMap()
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setMap
public DDCArray<T> setMap(AMapToData map)
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compressToDDC
public static <T> Array<T> compressToDDC(Array<T> arr, int estimateUnique)
Try to compress array into DDC format.- Type Parameters:
T
- The type of the Array- Parameters:
arr
- The array to try to compressestimateUnique
- The estimated number of unique values- Returns:
- Either a compressed version or the original.
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write
public void write(DataOutput out) throws IOException
- Throws:
IOException
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readFields
public void readFields(DataInput in) throws IOException
- Throws:
IOException
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read
public static DDCArray<?> read(DataInput in) throws IOException
- Throws:
IOException
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get
public T get(int index)
Description copied from class:Array
Get the value at a given index. This method returns objects that have a high overhead in allocation. Therefore it is not as efficient as using the vectorized operations specified in the object.
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extractDouble
public double[] extractDouble(double[] ret, int rl, int ru)
Description copied from class:Array
Extract the sub array into the ret array as doubles. The ret array is filled from - rl, meaning that the ret array should be of length ru - rl.- Overrides:
extractDouble
in classArray<T>
- Parameters:
ret
- The array to returnrl
- The row to start atru
- The row to end at (not inclusive.)- Returns:
- The ret array given as argument
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getAsDouble
public double getAsDouble(int i)
Description copied from class:Array
Get the index's value. returns 0 in case of Null.- Specified by:
getAsDouble
in classArray<T>
- Parameters:
i
- index to get value from- Returns:
- the value
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getAsNaNDouble
public double getAsNaNDouble(int i)
Description copied from class:Array
Get the index's value. returns Double.NaN in case of Null.- Overrides:
getAsNaNDouble
in classArray<T>
- Parameters:
i
- index to get value from- Returns:
- the value
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append
public Array<T> append(Array<T> other)
Description copied from class:Array
Append other array, if the other array is fitting in current allocated size use that allocated size, otherwise allocate new array to combine the other with this. This method should use the set range function, and should be preferred over the append single values.
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slice
public Array<T> slice(int rl, int ru)
Description copied from class:Array
Slice out the sub range and return new array with the specified type. If the conversion fails fallback to normal slice.
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getAsByteArray
public byte[] getAsByteArray()
Description copied from class:Array
Return the current allocated Array as a byte[], this is used to serialize the allocated Arrays out to the PythonAPI.- Specified by:
getAsByteArray
in classArray<T>
- Returns:
- The array as bytes
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getValueType
public Types.ValueType getValueType()
Description copied from class:Array
Get the current value type of this array.- Specified by:
getValueType
in classArray<T>
- Returns:
- The current value type.
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analyzeValueType
public Pair<Types.ValueType,Boolean> analyzeValueType(int maxCells)
Description copied from class:Array
Analyze the column to figure out if the value type can be refined to a better type. The return is in two parts, first the type it can be, second if it contains nulls.- Specified by:
analyzeValueType
in classArray<T>
- Parameters:
maxCells
- maximum number of cells to analyze- Returns:
- A better or equivalent value type to represent the column, including null information.
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set
public void set(int rl, int ru, Array<T> value)
Description copied from class:Array
Set range to given arrays value
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getFrameArrayType
public ArrayFactory.FrameArrayType getFrameArrayType()
Description copied from class:Array
Get the internal FrameArrayType, to specify the encoding of the Types, note there are more Frame Array Types than there is ValueTypes.- Specified by:
getFrameArrayType
in classArray<T>
- Returns:
- The FrameArrayType
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getExactSerializedSize
public long getExactSerializedSize()
Description copied from class:Array
Get the exact serialized size on disk of this array.- Specified by:
getExactSerializedSize
in classArray<T>
- Returns:
- The exact size on disk
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changeType
public Array<?> changeType(Types.ValueType t)
Description copied from class:Array
Change the allocated array to a different type. If the type is the same a deep copy is returned for safety.- Specified by:
changeType
in classACompressedArray<T>
- Parameters:
t
- The type to change to- Returns:
- A new column array.
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changeTypeWithNulls
public Array<?> changeTypeWithNulls(Types.ValueType t)
- Overrides:
changeTypeWithNulls
in classArray<T>
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isShallowSerialize
public boolean isShallowSerialize()
Description copied from class:Array
analyze if this array can be shallow serialized. to allow caching without modification.- Specified by:
isShallowSerialize
in classArray<T>
- Returns:
- boolean saying true if shallow serialization is available
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isEmpty
public boolean isEmpty()
Description copied from class:Array
Get if this array is empty, aka filled with empty values.
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select
public Array<T> select(int[] indices)
Description copied from class:Array
Slice out the specified indices and return the sub array.
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select
public Array<T> select(boolean[] select, int nTrue)
Description copied from class:Array
Slice out the true indices in the select input and return the sub array.
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isNotEmpty
public boolean isNotEmpty(int i)
- Specified by:
isNotEmpty
in classArray<T>
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clone
public Array<T> clone()
Description copied from class:Array
Overwrite of the java internal clone function for arrays, return a clone of underlying data that is mutable, (not immutable data.) Immutable data is dependent on the individual allocated arrays
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hashDouble
public double hashDouble(int idx)
Description copied from class:Array
Hash the given index of the array. It is allowed to return NaN on null elements.- Specified by:
hashDouble
in classArray<T>
- Parameters:
idx
- The index to hash- Returns:
- The hash value of that index.
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getInMemorySize
public long getInMemorySize()
Description copied from class:Array
Get in memory size, not counting reference to this object.- Overrides:
getInMemorySize
in classArray<T>
- Returns:
- the size in memory of this object.
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estimateInMemorySize
public static long estimateInMemorySize(int memSizeBitPerElement, int estDistinct, int nRow)
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containsNull
public boolean containsNull()
Description copied from class:Array
analyze if the array contains null values.- Overrides:
containsNull
in classArray<T>
- Returns:
- If the array contains null.
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equals
public boolean equals(Array<T> other)
Description copied from class:Array
Equals operation on arrays.
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possiblyContainsNaN
public boolean possiblyContainsNaN()
- Specified by:
possiblyContainsNaN
in classArray<T>
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minMax
public double[] minMax()
Description copied from class:Array
Get the minimum and maximum double value of this array. Note that we ignore NaN Values.
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minMax
public double[] minMax(int l, int u)
Description copied from class:Array
Get the minimum and maximum double value of a specific sub part of this array. Note that we ignore NaN Values.
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statistics
public ArrayCompressionStatistics statistics(int nSamples)
Description copied from class:Array
Get the compression statistics of this array allocation.- Specified by:
statistics
in classACompressedArray<T>
- Parameters:
nSamples
- The number of sample elements suggested (not forced) to be used.- Returns:
- The compression statistics of this array.
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