Create (or return) a TileDB sparse array

The functions fromSparseMatrix and toSparseMatrix help in storing (and retrieving) sparse matrices using a TileDB backend.

fromSparseMatrix(
  obj,
  uri,
  cell_order = "ROW_MAJOR",
  tile_order = "ROW_MAJOR",
  filter = "ZSTD",
  capacity = 10000L
)

toSparseMatrix(uri)

Arguments

obj	A sparse matrix object.
uri	A character variable with an Array URI.
cell_order	A character variable with one of the TileDB cell order values, default is “COL_MAJOR”.
tile_order	A character variable with one of the TileDB tile order values, default is “COL_MAJOR”.
filter	A character variable vector, defaults to ‘ZSTD’, for one or more filters to be applied to each attribute;
capacity	A integer value with the schema capacity, default is 10000.

Value

Null, invisibly.

Examples

ctx <- tiledb_ctx(limitTileDBCores())
if (FALSE) {
if (requireNamespace("Matrix", quietly=TRUE)) {
    library(Matrix)
    set.seed(123)      # just to fix it
    mat <- matrix(0, nrow=20, ncol=10)
    mat[sample(seq_len(200), 20)] <- seq(1, 20)
    spmat <- as(mat, "dgTMatrix")  # sparse matrix in dgTMatrix format
    uri <- "sparse_matrix"
    fromSparseMatrix(spmat, uri)   # now written
    chk <- toSparseMatrix(uri)     # and re-read
    print(chk)
    all.equal(spmat, chk)
}
}