Releases: uwdata/arquero
v8.0.1
v8.0.0
Changes from v7.2.1:
- Breaking: Drop custom Arquero JSON format with embedded schema. It provides little if any additional value (as the schema does not include type information), and I don't have any evidence that people use it.
- Add support to load data from input readable streams.
- Add full streaming readers for CSV, fixed width, and NDJSON formats.
- Add support for
gzip
anddeflate
decompression of input streams. - Add
fromArrowStream
,fromCSVStream
,fromFixedStream
, andfromJSONStream
methods for async stream parsing. - Expand
fromJSON
andtoJSON
to support a JSONtype
property, for control over row-oriented, column-oriented, and newline-delimited (NDJSON) formats. - Update build, including
package.json
use of thebrowser
property, for more targeted node/web separation. - Update test cases to reflect changes.
Full Changelog: v7.2.1...v8.0.0
v7.2.1
v7.2.0
Changes from v7.1.0:
- Add default key and value determination for
lookup
verb. The default keys are now all columns with matching names. The default values are all columns in the secondary table whose names do no match any columns in the primary table. (#379) - Tighten table expression type signature.
- Update
lookup
verb types and documentation. - Update dependencies.
Full Changelog: v7.1.0...v7.2.0
v7.1.0
Changes from v7.0.0:
- Add
collate
helper for custom sort orders. - Add
toCSV
header option. - Update
toCSV
to include a trailing newline. - Update comparator parser/generator to support collation comparators.
- Update tests and documentation.
Full Changelog: v7.0.0...v7.1.0
v7.0.0
Changes from v6.0.1:
-
Breaking: Change the default handler of Apache Arrow data from the
apache-arrow
JS reference implementation to the smaller, faster, and more flexible@uwdata/flechette
.This change improves performance and simplifies Arquero internals, as it obviates the need for internal custom Arrow data conversion steps and a variety of earlier performance and correctness workarounds. Arrow IPC binary decoding (in
fromArrow
) and building/encoding (intoArrow
andtoArrowIPC
) now use Flechette.If passing an already instantiated Arrow table to
fromArrow
, Arquero supports bothapache-arrow
and@uwdata/flechette
tables, including optimizations for groupby and filter operations over dictionary types. However, special extraction of decimals, dates, and nested types (lists, structs) is no longer provided by Arquero; instead we default to whatever the Arrow implementation provides. For Flechette, this includes customizable extraction options and efficient serialization to native JS array and object types. For Arrow-JS, decimals are not well-supported and lists are returned as Arrow Vector types and structs as slow Proxy row objects.If loading data directly from IPC bytes, Arquero results should be consistent. Moreover, as Flechette is small, it is bundled directly with Arquero, so (unlike before) no additional imports are needed to process Arrow data. However, when passing-in already-parsed
apache-arrow
tables, results will differ for some data types.
Full Changelog: v6.0.1...v7.0.0
v6.0.1
v6.0.0
- Breaking: Switch project to type
module
, update imports for node compatibility. - Breaking: Remove serialized
Query
functionality; it does not seem to be used at all. - Breaking: Limit extensibility methods to
op
functions only, remove table method and package registration. New table methods can instead be added by directly assigning them toColumnTable.prototype
. - Breaking: Remove
Table.columns()
method. UseTable.data()
instead. - Breaking: Remove
Table.columnArray()
method. UseTable.array()
instead. - Breaking: Rename
toArrowBuffer()
totoArrowIPC()
. - Breaking: Refactor module exports to be flat, including internal classes and
toXXX
format methods. - Add lightweight base
Table
representation,ColumnTable
subclass adds transformations and format methods. - Add array type checks for columns to optimize access.
- Add more Arrow conversions (Date, Decimal, etc.) and corresponding
arrowColumn()
option flags. - Add object freeze to table column object.
- Remove internal column wrapper interface, use array-like objects directly.
- Refactor verb definitions to a single location, remove previous
engine
folder. - Refactor verb argument parsing to consolidate in top-level verb methods.
- Refactor all Apache Arrow functionality to the
arrow
folder. - Use Mocha as the test runner.
- Improve TypeScript types and testing.
- Update build process, drop node bundle, retain UMD builds.
- Update dependencies.