tiledb_vfs_read

This interface currently defaults to reading an integer vector. This is suitable for R objects
as a raw vector used for (de)serialization can be mapped easily to an integer vector. It is
also possible to <code>memcpy</code> to the contiguous memory of an integer vector should other
(non-R) data be transferred.

The modern database 'TileDB' introduces a powerful on-disk
format for storing and accessing any complex data based on multi-dimensional
arrays. It supports dense and sparse arrays, dataframes and key-values stores,
cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression,
encryption and checksum filters, uses a fully multi-threaded implementation,
supports parallel I/O, data versioning ('time travel'), metadata and groups.
It is implemented as an embeddable cross-platform C++ library with APIs from
several languages, and integrations. This package provides the R support.

Isaiah Norton

tiledb

Modern Database Engine for Complex Data Based on
Multi-Dimensional Arrays

TileDB, Inc. 

Dirk Eddelbuettel

tiledb_vfs_read function

<dl><dt>fh</dt>
<dd>A TileDB VFS Filehandle external pointer as returned from <code>tiledb_vfs_open</code></dd>
<dt>offset</dt>
<dd>A scalar value with the byte offset from the beginning of the file
with a of zero.</dd>
<dt>nbytes</dt>
<dd>A scalar value with the number of bytes to be read.</dd>
<dt>ctx</dt>
<dd>(optional) A TileDB Ctx object</dd></dl>

Arguments

Read from a TileDB VFS Filehandle — tiledb_vfs_read

<dl>

<dt>fh</dt>
<dd>A TileDB VFS Filehandle external pointer as returned from <code>tiledb_vfs_open</code></dd>


<dt>offset</dt>
<dd>A scalar value with the byte offset from the beginning of the file
with a of zero.</dd>


<dt>nbytes</dt>
<dd>A scalar value with the number of bytes to be read.</dd>


<dt>ctx</dt>
<dd>(optional) A TileDB Ctx object</dd>

</dl>

tiledb_vfs_read: Read from a TileDB VFS Filehandle

Description

Usage

Value

Arguments