Release Notes¶
Release 0.9.1¶
| Release: | 0.9.1 |
|---|---|
| Date: | December 17th, 2015 |
New Expressions¶
Improved Expressions¶
New Backends¶
- Initial support for dask.dataframe has been added, see (#1317). Please send feedback via an issue or pull request if we missed any expressions you need.
Improved Backends¶
Blaze Server now supports dynamically adding datasets (#1329).
Two new keyword only arguments are added to
compute()for use when computing against aClientobject:compute_kwargs: This is a dictionary to send to the server to use as keyword arguments when callingcomputeon the server.odo_kwargs: This is a dictionary to send to the server to use as keyword arguments when callingodoon the server.
This extra information is completely optional and will have different meanings based on the backend of the data on the server (#1342).
Experimental Features¶
- There is now support for joining tables from multiple sources. This is very experimental right now, so use it at your own risk. It currently only works with things that fit in memory (#1282).
- Foreign columns in database tables that have foreign key relationships can now be accessed with a more concise syntax (#1192).
API Changes¶
- Removed support for Python 2.6 (#1267).
- Removed support for Python 3.3 (#1270).
- When a CSV file consists of all strings, you must pass
has_header=Truewhen using theDataconstructor (#1254). - Comparing
dateanddatetimedatashaped things to the empty string now raises aTypeError(#1308). Likeexpressions behave like a predicate, and operate on columns, rather than performing the selection for you on a table (#1333, #1340).blaze.server.Server.run()no longer retries binding to a new port by default. Also, positional arguments are no longer forwarded to the inner flask app’srunmethod. All keyword arguments not consumed by the blaze serverrunare still forwarded (#1316).Serverrepresents datashapes in a canonical form with consistent linebreaks for use by non-Python clients (#1361).
Bug Fixes¶
- Fixed a bug where
Mergeexpressions would unpack option types in their fields. This could cause you to have a table whereexpr::{a: int32}butexpr.a::?int32. Note that the dotted access is an option (#1262). - Explicitly set
Node.__slots__andExpr.__slots__to(). This ensures instances of slotted subclasses likeJoindo not have a useless empty__dict__attribute (#1274 and #1268). - Fixed a bug that prevented creating a
InteractiveSymbolthat wrappednanif the dshape wasdatetime. This now correctly coerces to NaT (#1272). - Fixed an issue where blaze client/server could not use isin expressions
because the
frozensetfailed to serialize. This also added support for rich serialization over json for things like datetimes (#1255). - Fixed a bug where
lenwould fail on an interactive expression whose resources were sqlalchemy objects (#1273). - Use aliases instead of common table expressions (CTEs) because MySQL doesn’t have CTEs (#1278).
- Fixed a bug where we couldn’t display an empty string identifier in interactive mode (#1279).
- Fixed a bug where comparisons with optionals that should have resulted in optionals did not (#1292).
- Fixed a bug where
Join.schemawould not always be instantiated (#1288). - Fixed a bug where comparisons to a empty string magically converted
the empty string to
None(#1308). - Fix the
retrykwarg to the blaze server. Whenretryis False, an exception is now properly raised if the port is in use. (#1316). - Fixed a bug where leaves that only appeared in the predicate of a selection
would not be in scope in time to compute the predicate. This would cause whole
expressions like
a[a > b]to fail becausebwas not in scope (#1275). - Fix a broken test on machines that don’t allow postgres to read from the local filesystem (#1323).
- Updated a test to reflect changes from odo #366 (#1323).
- Fixed pickling of blaze expressions with interactive symbols (#1319).
- Fixed repring partials in blaze expression to show keyword arguments (#1319).
- Fixed a memory leak that would preserve the lifetime of any blaze expression that had cached an attribute access (#1335).
- Fixed a bug where
common_subexpression()gave the wrong answer (#1325, #1338). BinaryMathoperations without numba installed were failing (#1343).- win32 tests were failing for
hypotandatan2due to slight differences in numpy vs numba implementations of those functions (#1343). - Only start up a
ThreadPoolwhen using the h5py backend (#1347, #1331). - Fix return type for sum and mean reductions whose children have a
Decimaldshape.
Miscellaneous¶
blaze.server.Server.run()now useswarnings.warn()instead ofprintwhen it fails to bind to a port and is retrying (#1316).- Make expressions (subclasses of Expr) weak referencable (:issue:`1319).
- Memoize dshape and schema methods (#1319).
- Use
pandas.DataFrame.sort_values()with pandas version >= 0.17.0 (#1321).
Release 0.8.3¶
| Release: | 0.8.3 |
|---|---|
| Date: | September 15, 2015 |
New Expressions¶
Improved Expressions¶
Distinctexpressions now support an on parameter to allow distinct on a subset of columns (#1159)Reductioninstances are now named as their class name if their_childattribute is named'_'(#1198)Joinexpressions now promotes the types of the fields being joined on. This allows us to join things likeint32andint64and have the result be an int64. This also allows us to join any typeawith?a. (#1193, #1218).
New Backends¶
Improved Backends¶
API Changes¶
Serialization format in blaze server is now passed in as a mimetype (#1176)
We only allow and use HTTP
POSTrequests when sending a computation to Blaze server for consistency with the HTTP spec (#1172)Allow
Clientobjects to explicitly disable verification of ssl certificates by passingverify_ssl=False. (#1170)Enable basic auth for the blaze server. The server now accepts an
authorizationkeyword which must be a callable that accepts an object holding the username and password, or None if no auth was given and returns a bool indicating if the request should be allowed.Clientobjects can pass an optionalauthkeyword which should be a tuple of (username, password) to send to the server. (#1175)We now allow
Distinctexpressions onColumnElementto be more general and let things likesa.sql.elements.Labelobjects through (#1212)Methods now take priority over field names when using attribute access for
Fieldinstances to fix a bug that prevented accessing the method at all (#1204). Here’s an example of how this works:>>> from blaze import symbol >>> t = symbol('t', 'var * {max: float64, isin: int64, count: int64}') >>> t['count'].max() t.count.max() >>> t.count() # calls the count method on t t.count() >>> t.count.max() # AttributeError Traceback (most recent call last): ... AttributeError: ...
Bug Fixes¶
- Upgrade versioneer so that our version string is now PEP 440 compliant (#1171)
- Computed columns (e.g., the result of a call to
transform()) can now be accessed via standard attribute access when using the SQL backend (#1201) - Fixed a bug where blaze server was depending on an implementation detail of
CPython regarding
builtins(#1196) - Fixed incorrect SQL generated by count on a subquery (#1202).
- Fixed an
ImportErrorgenerated by an API change in dask. - Fixed an issue where columns were getting trampled if there were column name collisions in a sql join. (#1208)
- Fixed an issue where arithmetic in a Merge expression wouldn’t work
because arithmetic wasn’t defined on
sa.sql.Selectobjects (#1207) - Fixed a bug where the wrong value was being passed into
time()(#1213) - Fixed a bug in sql relabel that prevented relabeling anything that generated a subselect. (#1216)
- Fixed a bug where methods weren’t accessible on fields with the same name (#1204)
- Fixed a bug where optimized expressions going into a pandas group by were incorrectly assigning extra values to the child DataFrame (#1221)
- Fixed a bug where multiple same-named operands caused incorrect scope
to be constructed ultimately resulting in incorrect results on
expressions like
x + x + x(#1227). Thanks to @llllllllll and @jcrist for discussion around solving the issue. - Fixed a bug where
minute()andMinutewere not being exported which made them unusable from the blaze server (#1232). - Fixed a bug where repr was being called on data resources rather than string, which caused massive slowdowns on largish expressions running against blaze server (#1240, #1247).
- Skip a test on Win32 + Python 3.4 and PyTables until this gets sorted out on the library side (#1251).
Release 0.8.1¶
| Release: | 0.8.1 |
|---|---|
| Date: | July 7th, 2015 |
New Expressions¶
- String arithmetic is now possible across the numpy and pandas backends via the
+(concatenation) and*(repeat) operators (#1058). - Datetime arithmetic is now available (#1112).
- Add a
Concatexpression that implements Union-style operations (#1128). - Add a
Coerceexpression that casts expressions to a different datashape. This maps toastypein numpy andcastin SQL (#1137).
Improved Expressions¶
New Backends¶
None
Improved Backends¶
Blaze Server¶
- Tie blueprint registration to data registration (#1061).
- Don’t catch import error when flask doesn’t exist, since blaze does this
in its
__init__.py(#1087). - Multiple serialization formats including JSON, pickle, and msgpack are now available. Additionally, one can add custom serialization formats with this implementation (#1102, #1122).
- Add a
'names'field to the response of thecompute.<format>route for Bokeh compatibility (#1129). - Add cross origin resource sharing for Bokeh compatibility (#1134).
- Add a command line interface (#1115).
- Add a way to tell the blaze server command line interface what to server via a YAML file (#1115).
SQL¶
- Use aliases to allow expressions on the SQL backend that involve a multiple step reduction operation (#1066, #1126).
- Fix unary not operator
~(#1091). - Postgres uses
==to compareNaNso we do it that way as well for the postgresql backend (#1123). - Find table inside non-default schema when serving off a SQLAlchemy
MetaDataobject (#1145).
API Changes¶
Bug Fixes¶
- Handle SQLAlchemy API churn around reference of
ColumnElementobjects in the 1.0.x series (#1071, #1076). - Obscure hashing bug when passing in both a pandas Timestamp and a
datetime.datetimeobject. Both objects hash to the same value but don’t necessarily compare equal; this makes Python call__eq__which caused anEqexpression to be constructed (#1097). - Properly handle
Andexpressions that involve the same field in MongoDB (#1099). - Handle Dask API changes (#1114).
- Use the
datefunction in SQLAlchemy when getting thedateattribute of adatetimedshaped expression. Previously this was calling extract, which is incorrect for the postgres backend (#1120). - Fix API compatibility with different versions of psutil (#1136).
- Use explicit
int64comparisons on Windows, since the default values may be different (#1148). - Fix name attribute propagation in pandas
Seriesobjects (#1152). - Raise a more informative error when trying to subset with an unsupported expression in the MongoDB backend (#1155).
Release 0.7.3¶
- General maturation of many backends through use.
- Renamed
intotoodo
Release 0.7.0¶
- Pull out data migration utilities to
intoproject - Out-of-core CSV support now depends on chunked pandas computation
- h5py and bcolz backends support multi-threading/processing
- Remove
datadirectory includingSQL,HDF5objects. Depend on standard types within other projects instead (e.g.sqlalchemy.Table,h5py.Dataset, ...) - Better support SQL nested queries for complex queries
- Support databases, h5py files, servers as first class datasets
Release 0.6.6¶
- Not intended for public use, mostly for internal build systems
- Bugfix
Release 0.6.5¶
- Improve uri string handling #715
- Various bug fixes #715
Release 0.6.4¶
- Back CSV with
pandas.read_csv. Better performance and more robust unicode support but less robust missing value support (some regressions) #597 - Much improved SQL support #626 #650 #652 #662
- Server supports remote execution of computations, not just indexing #631
- Better PyTables and datetime support #608 #639
- Support SparkSQL #592
Release 0.6.3¶
by takes only two arguments, the grouper and apply child is inferred using common_subexpression
Better handling of pandas Series object
Better printing of empty results in interactive mode
- Regex dispatched resource function bound to Table, e.g.
Table('/path/to/file.csv')
Release 0.6.2¶
Efficient CSV to SQL migration using native tools #454
Dispatched
dropandcreate_indexfunctions #495DPlyr interface at
blaze.api.dplyr. #484- Various bits borrowed from that interface
transformfunction adopted to main namespaceSummaryobject for named reductions- Keyword syntax in
byandmergee.g.by(t, t.col, label=t.col2.max(), label2=t.col2.min())
New Computation Server #527
Better PyTables support #487 #496 #526
Release 0.6.1¶
- More consistent behavior of
into bcolzbackend- Control namespace leakage
Release 0.6¶
- Nearly complete rewrite
- Add abstract table expression system
- Translate expressions onto a variety of backends
- Support Python, NumPy, Pandas, h5py, sqlalchemy, pyspark, PyTables, pymongo
Release 0.5¶
- HDF5 in catalog.
- Reductions like any, all, sum, product, min, max.
- Datetime design and some initial functionality.
- Change how Storage and ddesc works.
- Some preliminary rolling window code.
- Python 3.4 now in the test harness.
Release 0.4.2¶
- Fix bug for compatibility with numba 0.12
- Add sql formats
- Add hdf5 formats
- Add support for numpy ufunc operators
Release 0.4.1¶
- Fix bug with compatibility for numba 0.12
Release 0.4¶
- Split the datashape and blz modules out.
- Add catalog and server for blaze arrays.
- Add remote arrays.
- Add csv and json persistence formats.
- Add python3 support
- Add scidb interface
Release 0.3¶
- Solidifies the execution subsystem around an IR based on the pykit project, as well as a ckernel abstraction at the ABI level.
- Supports ufuncs running on ragged array data.
- Cleans out previous low level data descriptor code, the data descriptor will have a higher level focus.
- Example out of core groupby operation using BLZ.
Release 0.2¶
- Brings in dynd as a required dependency for in-memory data.
Release 0.1¶
- Initial preview release