The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Reading and writing are now handled by the yyjson C
library, bundled with the package, rather than by an R JSON package. The
practical effects:
0,
and larger values could lose their final digits. Values are now written
at the shortest precision that reads back identically, and parsed to a
double in C rather than through R. Files written by earlier versions are
unaffected - the loss happened on read, so re-reading them with this
version recovers the original values (#97).yyjsonr and jsonvalidate are no longer
required. Imports is now just hms;
jsonvalidate moved to Suggests and is needed
only for the validate_*() functions (#70).read_dataset_ndjson(),
write_dataset_ndjson() and
validate_dataset_ndjson() support the Dataset NDJSON
representation, where the dataset metadata forms the first line and each
row follows as a JSON array.read_dataset_dsjc(), write_dataset_dsjc()
and validate_dataset_dsjc() support Dataset JSON Compressed
(.dsjc), a zLib stream of Dataset NDJSON content. Rows are
compressed as they are written, so a large dataset never needs its
uncompressed form held in memory (#78).datasetjson_example() now ships dm.json,
dm.ndjson and dm.dsjc.decimals_as_floats has been removed from
read_dataset_json(). Columns with
dataType = "decimal" and
targetDataType = "decimal" are always converted to numeric
on read, as the Dataset JSON v1.1 specification requires (#77).digits is deprecated in
write_dataset_json() and
write_dataset_ndjson(). It is ignored, and supplying it
warns. Decimals are written at whatever precision reads back as the same
value, so there is no precision left for it to control. To render values
at a fixed precision, format the column to character yourself and
declare it as decimal/decimal in the column
metadata.float_as_decimals is no longer needed to protect
precision and setting it now warns to say so. It remains available as an
interoperability choice for systems that require the
decimal type.name, or whose
records value is missing, now reports the problem rather
than failing obscurely or silently substituting a value.read_dataset_json() sets format.sas from
the displayFormat column attribute (#87).write_dataset_json() with
float_as_decimals = TRUE wrote NA as a padded
string rather than JSON null (#76).extract_xpt_meta() in the converting_files
vignette could return -Inf for the length of
an empty or all-NA string column; the minimum is now 1
(#71).This release provides a significant overhaul of the package due to the updates for Dataset JSON 1.1.0. Performance has also been significantly improved, as well as the main object interface.
pretty parameter on
write_dataset_json() to false (#20)Initial development version of datasetjson, introducing core objects, readers and writers.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.