org.apache.sysds.runtime.data

## Class SparseBlockCOO

- java.lang.Object
- - org.apache.sysds.runtime.data.SparseBlock
  - - org.apache.sysds.runtime.data.SparseBlockCOO

- All Implemented Interfaces:
    Serializable

      public class SparseBlockCOO
      extends SparseBlock

  SparseBlock implementation that realizes a traditional 'coordinate matrix' representation, where the entire sparse block is stored as triples in three arrays: row indexes, column indexes, and values, where row indexes and colunm indexes are sorted in order to allow binary search. This format is very memory efficient for ultra-sparse matrices, allows fast incremental construction but has performance drawbacks for row-major access through our sparse block abstraction since there is no constant-time random access to individual rows. Similar to CSR, the nnz is limited to Integer.MAX_VALUE. In contrast to COO matrix formats with three arrays, we use 1+#dims arrays to represent the values and indexes of all dimensions.
  See Also:
    Serialized Form

- - ### Nested Class Summary

    - ### Nested classes/interfaces inherited from class org.apache.sysds.runtime.data.SparseBlock

      `SparseBlock.Type`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `SparseBlockCOO(int rlen)`
    `SparseBlockCOO(int rlen, int capacity)`
    `SparseBlockCOO(SparseBlock sblock)` Copy constructor sparse block abstraction.
    `SparseBlockCOO(SparseRow[] rows, int nnz)` Copy constructor old sparse row representation.

  - ### Method Summary

    All Methods Static Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | `add(int r, int c, double v)` Add a value to a matrix cell (r,c).
    `void` | `allocate(int r)` Allocate the underlying data structure holding non-zero values of row r if necessary.
    `void` | `allocate(int r, int nnz)` Allocate the underlying data structure holding non-zero values of row r if necessary, w/ given size.
    `void` | `allocate(int r, int ennz, int maxnnz)` Allocate the underlying data structure holding non-zero values of row r w/ the specified estimated nnz and max nnz.
    `void` | `append(int r, int c, double v)` Append a value to the end of the physical representation.
    `boolean` | `checkValidity(int rlen, int clen, long nnz, boolean strict)` Validate the correctness of the internal data structures of the different sparse block implementations.
    `void` | `compact(int r)` Re-allocate physical row if physical size exceeds logical size plus resize factor.
    `void` | `deleteIndexRange(int r, int cl, int cu)` Deletes all non-zero values of the given column range [cl,cu) in row r.
    `static long` | `estimateMemory(long nrows, long ncols, double sparsity)` Get the estimated in-memory size of the sparse block in COO with the given dimensions w/o accounting for overallocation.
    `SparseRow` | `get(int r)` Get values of row r in the format of a sparse row.
    `double` | `get(int r, int c)` Get value of matrix cell (r,c).
    `Iterator<IJV>` | `getIterator()` Get a non-zero iterator over the entire sparse block.
    `Iterator<IJV>` | `getIterator(int ru)` Get a non-zero iterator over the partial sparse block [0,ru).
    `Iterator<IJV>` | `getIterator(int rl, int ru)` Get a non-zero iterator over the subblock [rl, ru).
    `int[]` | `indexes()` Get raw access to underlying array of column indices For use in GPU code
    `int[]` | `indexes(int r)` Get the sorted array of column indexes of all non-zero entries in row r.
    `boolean` | `isAllocated(int r)` Indicates if the underlying data structure for a given row is already allocated.
    `boolean` | `isContiguous()` Indicates if the underlying data structures returned by values and indexes are contiguous arrays, which can be exploited for more efficient operations.
    `boolean` | `isEmpty(int r)` Get information if row r is empty, i.e., does not contain non-zero values.
    `boolean` | `isThreadSafe()` Indicates if the underlying implementation allows thread-safe row updates if concurrent threads update disjoint rows.
    `int` | `numRows()` Get the number of rows in the sparse block.
    `int` | `pos(int r)` Get the starting position of row r in the indexes/values arrays returned by indexes(r) and values(r).
    `int` | `posFIndexGT(int r, int c)` Get position of first column index greater than column c in row r.
    `int` | `posFIndexGTE(int r, int c)` Get position of first column index greater than or equal column c in row r.
    `int` | `posFIndexLTE(int r, int c)` Get position of first column index lower than or equal column c in row r.
    `void` | `reset()` Clears the sparse block by deleting non-zero values.
    `void` | `reset(int ennz, int maxnnz)` Clears the sparse block by deleting non-zero values.
    `void` | `reset(int r, int ennz, int maxnnz)` Clears row r of the sparse block by deleting non-zero values.
    `int[]` | `rowIndexes()` Get raw access to underlying array of row indices For use in GPU code
    `boolean` | `set(int r, int c, double v)` Set the value of a matrix cell (r,c).
    `void` | `set(int r, SparseRow row, boolean deep)` Set the values of row r to the given sparse row.
    `void` | `setIndexRange(int r, int cl, int cu, double[] v, int[] vix, int vpos, int vlen)` Sets a sparse array of non-zeros values and indexes into the column range [cl,cu) in row r.
    `void` | `setIndexRange(int r, int cl, int cu, double[] v, int vix, int vlen)` Sets a dense array of non-zeros values into the column range [cl,cu) in row r.
    `long` | `size()` Get the number of non-zero values in the sparse block.
    `int` | `size(int r)` Get the number of non-zero values in row r.
    `long` | `size(int rl, int ru)` Get the number of non-zeros values in the row range of [rl, ru).
    `long` | `size(int rl, int ru, int cl, int cu)` Get the number of non-zeros values in the row and column range of [rl/cl, ru/cu);
    `void` | `sort()` Sort all non-zero value/index pairs of the sparse block by row and column index.
    `void` | `sort(int r)` Sort all non-zero value/index pairs of row r column index.
    `String` | `toString()`
    `double[]` | `values()` Get raw access to underlying array of values For use in GPU code
    `double[]` | `values(int r)` Get the array of all non-zero entries in row r, sorted by their column indexes.

    - ### Methods inherited from class org.apache.sysds.runtime.data.SparseBlock

      `isAligned, isAligned`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

- - ### Constructor Detail

    - #### SparseBlockCOO

          public SparseBlockCOO(int rlen)

    - #### SparseBlockCOO

          public SparseBlockCOO(int rlen,
                                int capacity)

    - #### SparseBlockCOO

          public SparseBlockCOO(SparseBlock sblock)

      Copy constructor sparse block abstraction.
      Parameters:
        `sblock` - sparse block to copy

    - #### SparseBlockCOO

          public SparseBlockCOO(SparseRow[] rows,
                                int nnz)

      Copy constructor old sparse row representation.
      Parameters:
        `rows` - array of sparse rows
        `nnz` - number of non-zeros

  - ### Method Detail

    - #### estimateMemory

          public static long estimateMemory(long nrows,
                                            long ncols,
                                            double sparsity)

      Get the estimated in-memory size of the sparse block in COO with the given dimensions w/o accounting for overallocation.
      Parameters:
        `nrows` - number of rows
        `ncols` - number of columns
        `sparsity` - sparsity ratio
      Returns:
        memory estimate

    - #### allocate

          public void allocate(int r)

      Description copied from class: `SparseBlock`
      Allocate the underlying data structure holding non-zero values of row r if necessary.
      Specified by:
        `allocate` in class `SparseBlock`
      Parameters:
        `r` - row index

    - #### allocate

          public void allocate(int r,
                               int nnz)

      Description copied from class: `SparseBlock`
      Allocate the underlying data structure holding non-zero values of row r if necessary, w/ given size.
      Specified by:
        `allocate` in class `SparseBlock`
      Parameters:
        `r` - row index
        `nnz` - number of non-zeros

    - #### allocate

          public void allocate(int r,
                               int ennz,
                               int maxnnz)

      Description copied from class: `SparseBlock`
      Allocate the underlying data structure holding non-zero values of row r w/ the specified estimated nnz and max nnz.
      Specified by:
        `allocate` in class `SparseBlock`
      Parameters:
        `r` - row index
        `ennz` - estimated non-zeros
        `maxnnz` - max non-zeros

    - #### compact

          public void compact(int r)

      Description copied from class: `SparseBlock`
      Re-allocate physical row if physical size exceeds logical size plus resize factor.
      Specified by:
        `compact` in class `SparseBlock`
      Parameters:
        `r` - row index

    - #### numRows

          public int numRows()

      Description copied from class: `SparseBlock`
      Get the number of rows in the sparse block.
      Specified by:
        `numRows` in class `SparseBlock`
      Returns:
        number of rows

    - #### isThreadSafe

          public boolean isThreadSafe()

      Description copied from class: `SparseBlock`
      Indicates if the underlying implementation allows thread-safe row updates if concurrent threads update disjoint rows.
      Specified by:
        `isThreadSafe` in class `SparseBlock`
      Returns:
        true if thread-safe row updates

    - #### isContiguous

          public boolean isContiguous()

      Description copied from class: `SparseBlock`
      Indicates if the underlying data structures returned by values and indexes are contiguous arrays, which can be exploited for more efficient operations.
      Specified by:
        `isContiguous` in class `SparseBlock`
      Returns:
        true if underlying data structures are contiguous arrays

    - #### isAllocated

          public boolean isAllocated(int r)

      Description copied from class: `SparseBlock`
      Indicates if the underlying data structure for a given row is already allocated.
      Specified by:
        `isAllocated` in class `SparseBlock`
      Parameters:
        `r` - row index
      Returns:
        true if already allocated

    - #### checkValidity

          public boolean checkValidity(int rlen,
                                       int clen,
                                       long nnz,
                                       boolean strict)

      Description copied from class: `SparseBlock`
      Validate the correctness of the internal data structures of the different sparse block implementations.
      Specified by:
        `checkValidity` in class `SparseBlock`
      Parameters:
        `rlen` - number of rows
        `clen` - number of columns
        `nnz` - number of non zeros
        `strict` - enforce optional properties
      Returns:
        true if the sparse block is valid wrt the corresponding format such as COO, CSR, MCSR.

    - #### reset

          public void reset()

      Description copied from class: `SparseBlock`
      Clears the sparse block by deleting non-zero values. After this call all size() calls are guaranteed to return 0.
      Specified by:
        `reset` in class `SparseBlock`

    - #### reset

          public void reset(int ennz,
                            int maxnnz)

      Description copied from class: `SparseBlock`
      Clears the sparse block by deleting non-zero values. After this call all size() calls are guaranteed to return 0.
      Specified by:
        `reset` in class `SparseBlock`
      Parameters:
        `ennz` - estimated non-zeros
        `maxnnz` - max non-zeros

    - #### reset

          public void reset(int r,
                            int ennz,
                            int maxnnz)

      Description copied from class: `SparseBlock`
      Clears row r of the sparse block by deleting non-zero values. After this call size(r) is guaranteed to return 0.
      Specified by:
        `reset` in class `SparseBlock`
      Parameters:
        `r` - row index
        `ennz` - estimated non-zeros
        `maxnnz` - max non-zeros

    - #### size

          public long size()

      Description copied from class: `SparseBlock`
      Get the number of non-zero values in the sparse block.
      Specified by:
        `size` in class `SparseBlock`
      Returns:
        number of non-zero values in sparse block

    - #### size

          public int size(int r)

      Description copied from class: `SparseBlock`
      Get the number of non-zero values in row r.
      Specified by:
        `size` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        number of non-zero values in row r

    - #### size

          public long size(int rl,
                           int ru)

      Description copied from class: `SparseBlock`
      Get the number of non-zeros values in the row range of [rl, ru).
      Specified by:
        `size` in class `SparseBlock`
      Parameters:
        `rl` - row lower index
        `ru` - row upper index
      Returns:
        number of non-zero values in the row range

    - #### size

          public long size(int rl,
                           int ru,
                           int cl,
                           int cu)

      Description copied from class: `SparseBlock`
      Get the number of non-zeros values in the row and column range of [rl/cl, ru/cu);
      Specified by:
        `size` in class `SparseBlock`
      Parameters:
        `rl` - row lower index
        `ru` - row upper index
        `cl` - column lower index
        `cu` - column upper index
      Returns:
        number of non-zero values in the row and column range

    - #### isEmpty

          public boolean isEmpty(int r)

      Description copied from class: `SparseBlock`
      Get information if row r is empty, i.e., does not contain non-zero values. Equivalent to size(r)==0. Users should do this check if it is unknown if the underlying row data structure is allocated.
      Specified by:
        `isEmpty` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        true if row does not contain non-zero values

    - #### indexes

          public int[] indexes(int r)

      Description copied from class: `SparseBlock`
      Get the sorted array of column indexes of all non-zero entries in row r. Note that - for flexibility of the implementing format - the returned array may be larger, where the range for row r is given by [pos(r),pos(r)+size(r)).
      Specified by:
        `indexes` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        sorted array of column indexes

    - #### values

          public double[] values(int r)

      Description copied from class: `SparseBlock`
      Get the array of all non-zero entries in row r, sorted by their column indexes. Note that - for flexibility of the implementing format - the returned array may be larger, where the range for row r is given by [pos(r),pos(r)+size(r)).
      Specified by:
        `values` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        array of all non-zero entries in row r sorted by column indexes

    - #### pos

          public int pos(int r)

      Description copied from class: `SparseBlock`
      Get the starting position of row r in the indexes/values arrays returned by indexes(r) and values(r).
      Specified by:
        `pos` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        starting position of row r

    - #### set

          public boolean set(int r,
                             int c,
                             double v)

      Description copied from class: `SparseBlock`
      Set the value of a matrix cell (r,c). This might update an existing non-zero value, insert a new non-zero value, or delete a non-zero value.
      Specified by:
        `set` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
        `v` - zero or non-zero value
      Returns:
        true, if number of non-zeros changed

    - #### set

          public void set(int r,
                          SparseRow row,
                          boolean deep)

      Description copied from class: `SparseBlock`
      Set the values of row r to the given sparse row. This might update existing non-zero values, insert a new row, or delete a row. NOTE: This method exists for incremental runtime integration and might be deleted in the future.
      Specified by:
        `set` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `row` - sparse row
        `deep` - indicator to create deep copy of sparse row

    - #### add

          public boolean add(int r,
                             int c,
                             double v)

      Description copied from class: `SparseBlock`
      Add a value to a matrix cell (r,c). This might update an existing non-zero value, or insert a new non-zero value.
      Specified by:
        `add` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
        `v` - zero or non-zero value
      Returns:
        true, if number of non-zeros changed

    - #### append

          public void append(int r,
                             int c,
                             double v)

      Description copied from class: `SparseBlock`
      Append a value to the end of the physical representation. This should only be used for operations with sequential write pattern or if followed by a sort() operation. Note that this operation does not perform any matrix cell updates.
      Specified by:
        `append` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
        `v` - zero or non-zero value

    - #### setIndexRange

          public void setIndexRange(int r,
                                    int cl,
                                    int cu,
                                    double[] v,
                                    int vix,
                                    int vlen)

      Description copied from class: `SparseBlock`
      Sets a dense array of non-zeros values into the column range [cl,cu) in row r. The passed value array may be larger and the relevant range is given by [vix,vix+len).
      Specified by:
        `setIndexRange` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `cl` - lower column index starting at 0
        `cu` - upper column index starting at 0
        `v` - value array
        `vix` - start index in value array
        `vlen` - number of relevant values

    - #### setIndexRange

          public void setIndexRange(int r,
                                    int cl,
                                    int cu,
                                    double[] v,
                                    int[] vix,
                                    int vpos,
                                    int vlen)

      Description copied from class: `SparseBlock`
      Sets a sparse array of non-zeros values and indexes into the column range [cl,cu) in row r. The passed value array may be larger.
      Specified by:
        `setIndexRange` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `cl` - lower column index starting at 0
        `cu` - upper column index starting at 0
        `v` - value array
        `vix` - column index array
        `vpos` - start index in value and index arrays
        `vlen` - number of relevant values

    - #### deleteIndexRange

          public void deleteIndexRange(int r,
                                       int cl,
                                       int cu)

      Description copied from class: `SparseBlock`
      Deletes all non-zero values of the given column range [cl,cu) in row r.
      Specified by:
        `deleteIndexRange` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `cl` - lower column index starting at 0
        `cu` - upper column index starting at 0

    - #### sort

          public void sort()

      Description copied from class: `SparseBlock`
      Sort all non-zero value/index pairs of the sparse block by row and column index.
      Specified by:
        `sort` in class `SparseBlock`

    - #### sort

          public void sort(int r)

      Description copied from class: `SparseBlock`
      Sort all non-zero value/index pairs of row r column index.
      Specified by:
        `sort` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0

    - #### get

          public double get(int r,
                            int c)

      Description copied from class: `SparseBlock`
      Get value of matrix cell (r,c). In case of non existing values this call returns 0.
      Specified by:
        `get` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
      Returns:
        value of cell at position (r,c)

    - #### get

          public SparseRow get(int r)

      Description copied from class: `SparseBlock`
      Get values of row r in the format of a sparse row. NOTE: This method exists for incremental runtime integration and might be deleted in the future.
      Specified by:
        `get` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
      Returns:
        values of row r as a sparse row

    - #### posFIndexLTE

          public int posFIndexLTE(int r,
                                  int c)

      Description copied from class: `SparseBlock`
      Get position of first column index lower than or equal column c in row r. The position is relative to the indexes/values arrays returned by indexes(r) and values(r). If no such value exists, this call returns -1.
      Specified by:
        `posFIndexLTE` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
      Returns:
        position of the first column index lower than or equal to column c in row r

    - #### posFIndexGTE

          public int posFIndexGTE(int r,
                                  int c)

      Description copied from class: `SparseBlock`
      Get position of first column index greater than or equal column c in row r. The position is relative to the indexes/values arrays returned by indexes(r) and values(r). If no such value exists, this call returns -1.
      Specified by:
        `posFIndexGTE` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
      Returns:
        position of the first column index greater than or equal to column c in row r

    - #### posFIndexGT

          public int posFIndexGT(int r,
                                 int c)

      Description copied from class: `SparseBlock`
      Get position of first column index greater than column c in row r. The position is relative to the indexes/values arrays returned by indexes(r) and values(r). If no such value exists, this call returns -1.
      Specified by:
        `posFIndexGT` in class `SparseBlock`
      Parameters:
        `r` - row index starting at 0
        `c` - column index starting at 0
      Returns:
        position of the first column index greater than column c in row r

    - #### getIterator

          public Iterator<IJV> getIterator()

      Description copied from class: `SparseBlock`
      Get a non-zero iterator over the entire sparse block. Note that the returned IJV object is reused across next calls and should be directly consumed or deep copied.
      Overrides:
        `getIterator` in class `SparseBlock`
      Returns:
        IJV iterator

    - #### getIterator

          public Iterator<IJV> getIterator(int ru)

      Description copied from class: `SparseBlock`
      Get a non-zero iterator over the partial sparse block [0,ru). Note that the returned IJV object is reused across next calls and should be directly consumed or deep copied.
      Overrides:
        `getIterator` in class `SparseBlock`
      Parameters:
        `ru` - exclusive upper row index starting at 0
      Returns:
        IJV iterator

    - #### getIterator

          public Iterator<IJV> getIterator(int rl,
                                           int ru)

      Description copied from class: `SparseBlock`
      Get a non-zero iterator over the subblock [rl, ru). Note that the returned IJV object is reused across next calls and should be directly consumed or deep copied.
      Overrides:
        `getIterator` in class `SparseBlock`
      Parameters:
        `rl` - inclusive lower row index starting at 0
        `ru` - exclusive upper row index starting at 0
      Returns:
        IJV iterator

    - #### toString

          public String toString()

      Specified by:
        `toString` in class `SparseBlock`

    - #### rowIndexes

          public int[] rowIndexes()

      Get raw access to underlying array of row indices For use in GPU code
      Returns:
        array of row indices

    - #### indexes

          public int[] indexes()

      Get raw access to underlying array of column indices For use in GPU code
      Returns:
        array of column indices

    - #### values

          public double[] values()

      Get raw access to underlying array of values For use in GPU code
      Returns:
        array of values

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