Title: | Using TileDB as a DelayedArray Backend |
---|---|
Description: | Implements a DelayedArray backend for reading and writing dense or sparse arrays in the TileDB format. The resulting TileDBArrays are compatible with all Bioconductor pipelines that can accept DelayedArray instances. |
Authors: | Aaron Lun [aut, cre], Genentech, Inc. [cph] |
Maintainer: | Aaron Lun <[email protected]> |
License: | MIT + file LICENSE |
Version: | 1.17.0 |
Built: | 2024-11-27 05:11:07 UTC |
Source: | https://github.com/bioc/TileDBArray |
The TileDBArray class provides a DelayedArray backend for TileDB arrays (sparse and dense).
TileDBArray(x, attr)
returns a TileDBArray object given:
x
, a string containing a URI to a TileDB backend, most typically a path to a directory.
attr
, a string specifying the attribute to represent in the array.
Defaults to the first attribute.
Alternatively, x
can be a TileDBArraySeed object, in which case attr
is ignored.
TileDBArraySeed(x, attr)
returns a TileDBArraySeed
with the same arguments as described for TileDBArray
.
If x
is already a TileDBArraySeed, it is returned
directly without further modification.
DelayedArray(x)
returns a TileDBArray object
given x
, a TileDBArraySeed.
In all cases, two-dimensional arrays will automatically generate a TileDBMatrix, a subclass of the TileDBArray.
extract_array(x, index)
will return an ordinary array containing values from the TileDBArraySeed x
,
subsetted to the indices specified in index
.
The latter should be a list of length equal to the number of dimensions in x
,
where each entry is an integer vector or NULL
(in which case the entirety of the dimension is used).
extract_sparse_array(x, index)
will return a COO_SparseArray
representing the subset of x
corresponding to the indices in index
.
The latter should be a list of the same structure as described for extract_array
.
type(x)
will return a string containing the type of the TileDBArraySeed object x
.
Currently, only "integer"
, "logical"
and "double"
-precision is supported.
is_sparse(x)
will return a logical scalar indicating
whether the TileDBArraySeed x
uses a sparse format in the TileDB backend.
path(x)
will return a string containing the path to the TileDB backend directory.
chunkdim(x)
will return an integer vector containing the tile extent in each dimension.
This will be used as the chunk dimensions in methods like chunkGrid
.
All of the operations described above are also equally applicable to TileDBArray objects, as their methods simply delegate to those of the TileDBArraySeed.
All operations supported by DelayedArray objects are also available for TileDBArray objects.
Aaron Lun
data <- matrix(rpois(10000, 5), nrow=100, ncol=100) B <- as(data, "TileDBArray") B # Apply typical DelayedArray operations: as.matrix(B[1:10,1:10]) B %*% runif(ncol(B)) # This also works for sparse arrays: sdata <- Matrix::rsparsematrix(nrow=100, ncol=100, density=0.1) C <- as(sdata, "TileDBArray") C
data <- matrix(rpois(10000, 5), nrow=100, ncol=100) B <- as(data, "TileDBArray") B # Apply typical DelayedArray operations: as.matrix(B[1:10,1:10]) B %*% runif(ncol(B)) # This also works for sparse arrays: sdata <- Matrix::rsparsematrix(nrow=100, ncol=100, density=0.1) C <- as(sdata, "TileDBArray") C
Global options for writing TileDBArray backends, intended for parameters that cannot be automatically derived from the data.
getTileDBPath() setTileDBPath(path = NULL) getTileDBAttr() setTileDBAttr(attr = NULL) getTileDBDimType() setTileDBDimType(dimtype = NULL) getTileDBExtent() setTileDBExtent(extent = NULL) getTileDBContext() setTileDBContext(context = NULL) getTileDBCellOrder() setTileDBCellOrder(cellorder = NULL) getTileDBTileOrder() setTileDBTileOrder(tileorder = NULL) getTileDBCapacity() setTileDBCapacity(capacity = NULL)
getTileDBPath() setTileDBPath(path = NULL) getTileDBAttr() setTileDBAttr(attr = NULL) getTileDBDimType() setTileDBDimType(dimtype = NULL) getTileDBExtent() setTileDBExtent(extent = NULL) getTileDBContext() setTileDBContext(context = NULL) getTileDBCellOrder() setTileDBCellOrder(cellorder = NULL) getTileDBTileOrder() setTileDBTileOrder(tileorder = NULL) getTileDBCapacity() setTileDBCapacity(capacity = NULL)
path |
String containing a path to a TileDB backend. |
attr |
String containing the name of a TileDB attribute. |
dimtype |
String specifying the TileDB datatype to use for the dimensions. |
extent |
Integer scalar specifying the tile extent for all dimensions. Alternatively, an integer vector of length equal to the number of dimensions, specifying a different extent for each dimension in the array to be created. |
context |
A TileDB context object, see |
cellorder |
String specifying the desired cell order. |
tileorder |
String specifying the desired tile order. |
capacity |
Integer scalar specifying the data tile capacity for sparse arrays. |
All of the getter functions return the current global value,
or a default value if the former is NULL
:
path
defaults to a temporary file in tempdir
.
attr
defaults to "x"
.
dimtype
defaults to "INT32"
.
extent
defaults to 100L
.
cellorder
defaults to "COL_MAJOR"
.
tileorder
defaults to "COL_MAJOR"
.
capacity
defaults to 10000L
.
context
defaults to the value of tiledb_ctx()
.
All setter functions change the global value and return NULL
invisibly.
Aaron Lun
writeTileDBArray
, where these functions are most often used.
setTileDBPath("my_local_dir") getTileDBPath()
setTileDBPath("my_local_dir") getTileDBPath()
Implements the TileDB framework as a DelayedArray backend, with read and write functionality for both dense and sparse arrays. Currently only integer, logical and double-precision values are supported.
Aaron Lun
Write array data to a TileDB backend via DelayedArray's RealizationSink machinery.
TileDBRealizationSink( dim, dimnames=NULL, type="double", path=getTileDBPath(), attr=getTileDBAttr(), storagetype=NULL, dimtype=getTileDBDimType(), sparse=FALSE, extent=getTileDBExtent(), offset=1L, cellorder=getTileDBCellOrder(), tileorder=getTileDBTileOrder(), capacity=getTileDBCapacity(), context=getTileDBContext() )
returns a TileDBRealizationSink object that can be used to write content to a TileDB backend. It accepts the following arguments:
dim
, an integer vector (usually of length 2) to specify the array dimensions.
dimnames
, a list of length equal to dim
, containing character vectors with names for each dimension.
Defaults to NULL
, i.e., no dimnames.
type
, a string specifying the R data type for the newly written array.
Currently only "double"
, "integer"
and "logical"
arrays are supported.
path
, a string containing the location of the new TileDB backend.
attr
, a string specifying the name of the attribute to store.
storagetype
, a string specifying the TileDB data type for the attribute, e.g., "UINT8"
, "FLOAT32"
.
If NULL
, this is automatically determined from type
using r_to_tiledb_type
.
dimtype
, a string specifying the TileDB data type for the dimension.
sparse
, a logical scalar indicating whether the array should be stored in sparse form.
extent
, an integer scalar (or vector of length equal to dim
) specifying the tile extent for each dimension.
Larger values improve compression at the cost of unnecessary data extraction during reads.
offset
, an integer scalar (or vector of length equal to dim
) specifying the starting offset for each dimension's domain.
cellorder
, a string specifying the ordering of cells within each tile.
tileorder
, a string specifying the ordering of tiles across the array.
capacity
, an integer scalar specifying the size of each data tile in the sparse case.
context
is the TileDB context, defaulting to the output of tiledb_ctx()
.
writeTileDBArray(x, sparse=is_sparse(x), ...)
writes the matrix-like object x
to a TileDB backend,
returning a TileDBArray object referring to that backend.
Appropriate values for dim
, dimnames
and type
are determined automatically from x
itself.
All other arguments described for TileDBRealizationSink
can be passed into ...
to configure the representation.
as(x, "TileDBArray")
will coerce a matrix-like object x
to a TileDBArray object.
as(x, "TileDBArraySeed")
will coerce a matrix-like object x
to a TileDBArraySeed object.
as(x, "TileDBMatrix")
will coerce a matrix-like object x
to a TileDBArraySeed object.
as(x, "TileDBArray")
will coerce a TileDBRealizationSink x
to a TileDBArray object.
as(x, "TileDBArraySeed")
will coerce a TileDBRealizationSink x
to a TileDBArraySeed object.
as(x, "DelayedArray")
will coerce a TileDBRealizationSink x
to a TileDBArray object.
write_block(sink, viewport, block)
will write the subarray block
to the TileDBRealizationSink sink
at the specified viewport
, returning sink
upon completion.
See write_block
in DelayedArray for more details.
type(x)
will return a string specifying the type of the TileDBRealizationSink x
.
X <- matrix(rnorm(100000), ncol=200) path <- tempfile() out <- writeTileDBArray(X, path=path) # Works for integer matrices. Xi <- matrix(rpois(100000, 2), ncol=200) pathi <- tempfile() outi <- writeTileDBArray(Xi, path=pathi) # Works for logical matrices. Xl <- matrix(rpois(100000, 0.5) > 0, ncol=200) pathl <- tempfile() outl <- writeTileDBArray(Xl, path=pathl) # Works for sparse numeric matrices. Y <- Matrix::rsparsematrix(1000, 1000, density=0.01) path2 <- tempfile() out2 <- writeTileDBArray(Y, path=path2) # And for sparse logical matrices. path2l <- tempfile() out2l <- writeTileDBArray(Y > 0, path=path2l) # Works for dimnames. rownames(X) <- sprintf("GENE_%i", seq_len(nrow(X))) path3 <- tempfile() out3 <- writeTileDBArray(X, path=path3)
X <- matrix(rnorm(100000), ncol=200) path <- tempfile() out <- writeTileDBArray(X, path=path) # Works for integer matrices. Xi <- matrix(rpois(100000, 2), ncol=200) pathi <- tempfile() outi <- writeTileDBArray(Xi, path=pathi) # Works for logical matrices. Xl <- matrix(rpois(100000, 0.5) > 0, ncol=200) pathl <- tempfile() outl <- writeTileDBArray(Xl, path=pathl) # Works for sparse numeric matrices. Y <- Matrix::rsparsematrix(1000, 1000, density=0.01) path2 <- tempfile() out2 <- writeTileDBArray(Y, path=path2) # And for sparse logical matrices. path2l <- tempfile() out2l <- writeTileDBArray(Y > 0, path=path2l) # Works for dimnames. rownames(X) <- sprintf("GENE_%i", seq_len(nrow(X))) path3 <- tempfile() out3 <- writeTileDBArray(X, path=path3)