61 changes: 48 additions & 13 deletions docs/source/api.rst
Original file line number Diff line number Diff line change
Expand Up @@ -19,23 +19,54 @@ entry to using Ibis.
:toctree: generated/

make_client
impala_connect
hdfs_connect

Impala client
-------------
.. currentmodule:: ibis.impala.api

These methods are available on the Impala client object after connecting to
your Impala cluster, HDFS cluster, and creating the client with
``ibis.make_client``.

Use ``ibis.impala.connect`` to create an Impala connection to use for
assembling a client.

.. autosummary::
:toctree: generated/

connect
ImpalaClient.close
ImpalaClient.database

Database methods
~~~~~~~~~~~~~~~~

.. autosummary::
:toctree: generated/

ImpalaClient.set_database
ImpalaClient.create_database
ImpalaClient.drop_database
ImpalaClient.list_databases
ImpalaClient.exists_database

.. autosummary::
:toctree: generated/

Database.drop
Database.namespace
Database.table

Table methods
~~~~~~~~~~~~~
.. autosummary::
:toctree: generated/

ImpalaClient.database
ImpalaClient.table
ImpalaClient.sql
ImpalaClient.raw_sql
ImpalaClient.list_tables
ImpalaClient.exists_table
ImpalaClient.drop_table
Expand All @@ -45,6 +76,12 @@ Table methods
ImpalaClient.get_schema
ImpalaClient.cache_table

.. autosummary::
:toctree: generated/

ImpalaTable.drop
ImpalaTable.compute_stats

Creating views is also possible:

.. autosummary::
Expand All @@ -64,18 +101,6 @@ Accessing data formats in HDFS
ImpalaClient.delimited_file
ImpalaClient.parquet_file

Database methods
~~~~~~~~~~~~~~~~

.. autosummary::
:toctree: generated/

ImpalaClient.set_database
ImpalaClient.create_database
ImpalaClient.drop_database
ImpalaClient.list_databases
ImpalaClient.exists_database

Executing expressions
~~~~~~~~~~~~~~~~~~~~~

Expand All @@ -93,10 +118,14 @@ HDFS
Client objects have an ``hdfs`` attribute you can use to interact directly with
HDFS.

.. currentmodule:: ibis

.. autosummary::
:toctree: generated/

HDFS.ls
HDFS.chmod
HDFS.chown
HDFS.get
HDFS.head
HDFS.put
Expand Down Expand Up @@ -149,6 +178,7 @@ Table methods
TableExpr.aggregate
TableExpr.count
TableExpr.distinct
TableExpr.info
TableExpr.filter
TableExpr.get_column
TableExpr.get_columns
Expand Down Expand Up @@ -289,6 +319,7 @@ Scalar or array methods
.. autosummary::
:toctree: generated/

IntegerValue.convert_base
IntegerValue.to_timestamp

.. _api.string:
Expand All @@ -301,6 +332,7 @@ All string operations are valid either on scalar or array values
.. autosummary::
:toctree: generated/

StringValue.convert_base
StringValue.length
StringValue.lower
StringValue.upper
Expand Down Expand Up @@ -360,6 +392,9 @@ Boolean methods
:toctree: generated/

BooleanArray.any
BooleanArray.all
BooleanArray.cumany
BooleanArray.cumall

Category methods
----------------
Expand Down
84 changes: 84 additions & 0 deletions docs/source/configuration.rst
Original file line number Diff line number Diff line change
Expand Up @@ -3,3 +3,87 @@
****************
Configuring Ibis
****************

Ibis global configuration
-------------------------

Ibis global configuration happens through the ``ibis.options``
attribute. Attributes can be get and set like class attributes.

Interactive mode
~~~~~~~~~~~~~~~~

Ibis out of the box is in *developer mode*. Expressions display their internal
details when printed to the console. For a better interactive experience, set
the ``interactive option``:

.. code-block:: python
ibis.options.interactive = True
This will cause expressions to be executed immediately when printed to the
console (or in IPython or the IPython notebook).

SQL query execution
~~~~~~~~~~~~~~~~~~~

If an Ibis table expression has no row limit set using the ``limit`` API, a
default one is applied to prevent too much data from being retrieved from the
query engine. The default is currently 10000 rows, but this can be configured
with the ``sql.default_limit`` option:

.. code-block:: python
ibis.options.sql.default_limit = 100
Set this to ``None`` to retrieve all rows in all queries (be careful!).

.. code-block:: python
ibis.options.sql.default_limit = None
Verbose option and Logging
~~~~~~~~~~~~~~~~~~~~~~~~~~

To see all internal Ibis activity (like queries being executed) set
`ibis.options.verbose`:

.. code-block:: python
ibis.options.verbose = True
By default this information is sent to ``sys.stdout``, but you can set some
other logging function:

.. code-block:: python
def cowsay(x):
print("Cow says: {0}".format(x))
ibis.options.verbose_log = cowsay
Working with secure clusters (Kerberos)
---------------------------------------

Ibis is compatible with Hadoop clusters that are secured with Kerberos (as well
as SSL and LDAP). Just like the Impala shell and ODBC/JDBC connectors, Ibis
connects to Impala through the HiveServer2 interface (using the impyla client).
Therefore, the connection semantics are similar to the other access methods for
working with secure clusters.

Specifically, after authenticating yourself against Kerberos (e.g., by issuing
the appropriate ``kinit`` commmand), simply pass ``use_kerberos=True`` (and set
``kerberos_service_name`` if necessary) to the ``ibis.impala_connect(...)``
method when instantiating an ``ImpalaConnection``. This method also takes
arguments to configure LDAP (``use_ldap``, ``ldap_user``, and
``ldap_password``) and SSL (``use_ssl``, ``ca_cert``). See the documentation
for the Impala shell for more details.

Ibis also includes functionality that communicates directly with HDFS, using
the WebHDFS REST API. When calling ``ibis.hdfs_connect(...)``, also pass
``use_kerberos=True``, and ensure that you are connecting to the correct port,
which may likely be an SSL-secured WebHDFS port. Also note that you can pass
``verify=False`` to avoid verifying SSL certificates (which may be helpful in
testing). Ibis will assume ``https`` when connecting to a Kerberized cluster.
Because some Ibis commands create HDFS directories as well as new Impala
databases and/or tables, your user will require the necessary privileges.
25 changes: 16 additions & 9 deletions docs/source/getting-started.rst
Original file line number Diff line number Diff line change
Expand Up @@ -18,11 +18,6 @@ System dependencies
Ibis requires a working Python 2.6 or 2.7 installation (3.x support will come
in a future release). We recommend `Anaconda <http://continuum.io/downloads>`_.

Some platforms will require that you have Kerberos installed to build properly.

* Redhat / CentOS: ``yum install krb5-devel``
* Ubuntu / Debian: ``apt-get install libkrb5-dev``

Installing the Python package
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Expand All @@ -34,6 +29,17 @@ Install ibis using ``pip`` (or ``conda``, whenever it becomes available):

This installs the ``ibis`` library to your configured Python environment.

Ibis can also be installed with Kerberos support for its HDFS functionality:

::

pip install ibis-framework[kerberos]

Some platforms will require that you have Kerberos installed to build properly.

* Redhat / CentOS: ``yum install krb5-devel``
* Ubuntu / Debian: ``apt-get install libkrb5-dev``

Creating a client
-----------------

Expand All @@ -44,14 +50,15 @@ the client using ``ibis.make_client``:
import ibis
ic = ibis.impala_connect(host=impala_host, port=impala_port)
ic = ibis.impala.connect(host=impala_host, port=impala_port)
hdfs = ibis.hdfs_connect(host=webhdfs_host, port=webhdfs_port)
con = ibis.make_client(ic, hdfs_client=hdfs)
Depending on your cluster setup, this may be more complicated, especially if
LDAP or Kerberos is involved. See the :ref:`API reference <api.client>` for
more.
Both method calls can take ``use_kerberos=True`` to connect to Kerberos
clusters. Depending on your cluster setup, this may also include LDAP or SSL.
See the :ref:`API reference <api.client>` for more, along with the Impala shell
reference, as the connection semantics are identical.

Learning resources
------------------
Expand Down
136 changes: 136 additions & 0 deletions docs/source/impala-udf.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,136 @@
.. currentmodule:: ibis
.. _impala-udf:

*************************
Using Impala UDFs in Ibis
*************************

Impala currently supports user-defined scalar functions (known henceforth as
*UDFs*) and aggregate functions (respectively *UDAs*) via a C++ extension API.

Initial support for using C++ UDFs in Ibis came in version 0.4.0.

Using scalar functions (UDFs)
-----------------------------

Let's take an example to illustrate how to make a C++ UDF available to
Ibis. Here is a function that computes an approximate equality between floating
point values:

.. code-block:: c++

#include "impala_udf/udf.h"

#include <cctype>
#include <cmath>

BooleanVal FuzzyEquals(FunctionContext* ctx, const DoubleVal& x, const DoubleVal& y) {
const double EPSILON = 0.000001f;
if (x.is_null || y.is_null) return BooleanVal::null();
double delta = fabs(x.val - y.val);
return BooleanVal(delta < EPSILON);
}

You can compile this to either a shared library (a ``.so`` file) or to LLVM
bitcode with clang (a ``.ll`` file). Skipping that step for now (will add some
more detailed instructions here later, promise).

To make this function callable, we first create a UDF wrapper with
``ibis.impala.wrap_udf``:

.. code-block:: python
library = '/ibis/udfs/udftest.ll'
inputs = ['double', 'double']
output = 'boolean'
symbol = 'FuzzyEquals'
udf_db = 'ibis_testing'
udf_name = 'fuzzy_equals'
wrapper = ibis.impala.wrap_udf(library, inputs, output, symbol, name=udf_name)
In typical workflows, you will set up a UDF in Impala once then use it
thenceforth. So the *first time* you do this, you need to create the UDF in
Impala:

.. code-block:: python
client.create_udf(wrapper, name=udf_name, database=udf_db)
Now, we must register this function as a new Impala operation in Ibis. This
must take place each time you load your Ibis session.

.. code-block:: python
operation_class = wrapper.to_operation()
ibis.impala.add_operation(operation_class, udf_name, udf_db)
Lastly, we define a *user API* to make ``fuzzy_equals`` callable on Ibis
expressions:

.. code-block:: python
def fuzzy_equals(left, right):
"""
Approximate equals UDF
Parameters
----------
left : numeric
right : numeric
Returns
-------
is_approx_equal : boolean
"""
op = operation_class(left, right)
return op.to_expr()
Now, we have a callable Python function that works with Ibis expressions:

.. code-block:: python
In [35]: db = c.database('ibis_testing')
In [36]: t = db.functional_alltypes
In [37]: expr = fuzzy_equals(t.float_col, t.double_col / 10)
In [38]: expr.execute()[:10]
Out[38]:
0 True
1 False
2 False
3 False
4 False
5 False
6 False
7 False
8 False
9 False
Name: tmp, dtype: bool
Note that the call to ``ibis.impala.add_operation`` must happen each time you
use Ibis. If you have a lot of UDFs, I suggest you create a file with all of
your wrapper declarations and user APIs that you load with your Ibis session to
plug in all your own functions.

Using aggregate functions (UDAs)
--------------------------------

Coming soon.

Adding UDF functions to Ibis types
----------------------------------

Coming soon.

Installing the Impala UDF SDK on OS X and Linux
-----------------------------------------------

Coming soon.

Impala types to Ibis types
--------------------------

Coming soon. See ``ibis.schema`` for now.
30 changes: 30 additions & 0 deletions docs/source/impala.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,30 @@
.. currentmodule:: ibis
.. _impala:

*********************
Ibis for Impala users
*********************

Another goal of Ibis is to provide an integrated Python API for an Impala
cluster without requiring you to switch back and forth between Python code and
the Impala shell (where one would be using a mix of DDL and SQL statements).

Table metadata
--------------

Computing table statistics
~~~~~~~~~~~~~~~~~~~~~~~~~~

Impala-backed physical tables have a method ``compute_stats`` that computes
table, column, and partition-level statistics to assist with query planning and
optimization. It is good practice to invoke this after creating a table or
loading new data:

.. code-block:: python
table.compute_stats()
Table partition management
--------------------------

Coming soon
12 changes: 10 additions & 2 deletions docs/source/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,13 @@
Ibis Documentation
==================

Ibis is a Python big data framework. To learn more about Ibis's vision and
roadmap, please visit http://ibis-project.org.
Ibis is a Python data analysis framework, designed to be an ideal companion for
big data storage and computation systems. Ibis is being jointly developed with
Impala to deliver a complete 100% Python user experience on tera- and petascale
big data problems.

To learn more about Ibis's vision and roadmap, please visit
http://ibis-project.org.

Source code is on GitHub: http://github.com/cloudera/ibis

Expand All @@ -20,7 +25,10 @@ places, but this will improve as things progress.
getting-started
configuration
tutorial
impala-udf
api
sql
impala
release
developer
type-system
Expand Down
31 changes: 31 additions & 0 deletions docs/source/release.rst
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,37 @@
Release Notes
=============

0.4.0 (August 14, 2015)
-----------------------

New features
~~~~~~~~~~~~
* Add tooling to use Impala C++ scalar UDFs within Ibis (#262, #195)
* Support and testing for Kerberos-enabled secure HDFS clusters
* Many table functions can now accept functions as parameters (invoked on the
calling table) to enhance composability and emulate late-binding semantics of
languages (like R) that have non-standard evaluation (#460)
* Add ``any``, ``all``, ``notany``, and ``notall`` reductions on boolean
arrays, as well as ``cumany`` and ``cumall``
* Using ``topk`` now produces an analytic expression that is executable (as an
aggregation) but can also be used as a filter as before (#392, #91)
* Added experimental database object "usability layer", see
``ImpalaClient.database``.
* Add ``TableExpr.info``
* Add ``compute_stats`` API to table expressions referencing physical Impala
tables
* Add ``explain`` method to ``ImpalaClient`` to show query plan for an
expression
* Add ``chmod`` and ``chown`` APIs to ``HDFS`` interface for superusers
* Add ``convert_base`` method to strings and integer types
* Add option to ``ImpalaClient.create_table`` to create empty partitioned
tables
* ``ibis.cross_join`` can now join more than 2 tables at once
* Add ``ImpalaClient.raw_sql`` method for running naked SQL queries
* ``ImpalaClient.insert`` now validates schemas locally prior to sending query
to cluster, for better usability.
* Add conda installation recipes

0.3.0 (July 20, 2015)
---------------------

Expand Down
6 changes: 6 additions & 0 deletions docs/source/sql.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
.. currentmodule:: ibis
.. _sql:

***********************
Ibis for SQL Developers
***********************
2 changes: 1 addition & 1 deletion docs/source/tutorial.rst
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
.. _api:
.. _tutorial:

********
Tutorial
Expand Down
93 changes: 38 additions & 55 deletions ibis/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,19 +15,28 @@

# flake8: noqa

__version__ = '0.3.0'
__version__ = '0.4.0'

from ibis.client import ImpalaConnection, ImpalaClient
from ibis.filesystems import HDFS, WebHDFS
from ibis.common import IbisError

import ibis.expr.api as api
import ibis.expr.types as ir

# __all__ is defined
from ibis.expr.api import *

import ibis.impala.api as impala

import ibis.config_init
from ibis.config import options
import util


# Deprecated
impala_connect = util.deprecate(impala.connect,
'impala_connect is deprecated, use'
' ibis.impala.connect instead')


def make_client(db, hdfs_client=None):
Expand All @@ -38,68 +47,24 @@ def make_client(db, hdfs_client=None):
Parameters
----------
db : Connection
e.g. produced by ibis.impala_connect
e.g. produced by ibis.impala.connect
hdfs_client : ibis HDFS client
Examples
--------
>>> con = ibis.impala_connect(**impala_params)
>>> con = ibis.impala.connect(**impala_params)
>>> hdfs = ibis.hdfs_connect(**hdfs_params)
>>> client = ibis.make_client(con, hdfs_client=hdfs)
Returns
-------
client : IbisClient
"""
return ImpalaClient(db, hdfs_client=hdfs_client)

return impala.ImpalaClient(db, hdfs_client=hdfs_client)

def impala_connect(host='localhost', port=21050, protocol='hiveserver2',
database='default', timeout=45, use_ssl=False, ca_cert=None,
use_ldap=False, ldap_user=None, ldap_password=None,
use_kerberos=False, kerberos_service_name='impala',
pool_size=8):
"""
Create an Impala Client for use with Ibis
Parameters
----------
host : host name
port : int, default 21050 (HiveServer 2)
protocol : {'hiveserver2', 'beeswax'}
database :
timeout :
use_ssl :
ca_cert :
use_ldap : boolean, default False
ldap_user :
ldap_password :
use_kerberos : boolean, default False
kerberos_service_name : string, default 'impala'

Returns
-------
con : ImpalaConnection
"""
params = {
'host': host,
'port': port,
'protocol': protocol,
'database': database,
'timeout': timeout,
'use_ssl': use_ssl,
'ca_cert': ca_cert,
'use_ldap': use_ldap,
'ldap_user': ldap_user,
'ldap_password': ldap_password,
'use_kerberos': use_kerberos,
'kerberos_service_name': kerberos_service_name
}

return ImpalaConnection(pool_size=pool_size, **params)


def hdfs_connect(host='localhost', port=50070, protocol='webhdfs', **kwds):
def hdfs_connect(host='localhost', port=50070, protocol='webhdfs',
use_kerberos=False, verify=True, **kwds):
"""
Connect to HDFS
Expand All @@ -108,15 +73,33 @@ def hdfs_connect(host='localhost', port=50070, protocol='webhdfs', **kwds):
host : string
port : int, default 50070 (webhdfs default)
protocol : {'webhdfs'}
use_kerberos : boolean, default False
verify : boolean, default False
Set to False to turn off verifying SSL certificates
Other keywords are forwarded to hdfs library classes
Returns
-------
client : ibis HDFS client
"""
from hdfs import InsecureClient
url = 'http://{0}:{1}'.format(host, port)
client = InsecureClient(url, **kwds)
return WebHDFS(client)
if use_kerberos:
try:
import requests_kerberos
except ImportError:
raise IbisError(
"Unable to import requests-kerberos, which is required for "
"Kerberos HDFS support. Install it by executing `pip install "
"requests-kerberos` or `pip install hdfs[kerberos]`.")
from hdfs.ext.kerberos import KerberosClient
url = 'https://{0}:{1}'.format(host, port) # note SSL
hdfs_client = KerberosClient(url, mutual_auth='OPTIONAL',
verify=verify, **kwds)
else:
from hdfs.client import InsecureClient
url = 'http://{0}:{1}'.format(host, port)
hdfs_client = InsecureClient(url, verify=verify, **kwds)
return WebHDFS(hdfs_client)


def test(include_e2e=False):
Expand Down
929 changes: 75 additions & 854 deletions ibis/client.py

Large diffs are not rendered by default.

10 changes: 7 additions & 3 deletions ibis/compat.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,16 +15,20 @@
# flake8: noqa

import sys
from six import BytesIO
from six import BytesIO, StringIO, string_types as py_string


PY26 = sys.version_info[0] == 2 and sys.version_info[1] == 6
PY3 = (sys.version_info[0] >= 3)
PY2 = sys.version_info[0] == 2


if PY26:
import unittest2 as unittest
else:
import unittest


py_string = basestring
if PY3:
unicode_type = str
else:
unicode_type = unicode
21 changes: 6 additions & 15 deletions ibis/expr/analysis.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
# limitations under the License.

from ibis.common import RelationError, ExpressionError
from ibis.expr.datatypes import HasSchema
from ibis.expr.window import window
import ibis.expr.types as ir
import ibis.expr.operations as ops
Expand Down Expand Up @@ -197,15 +198,15 @@ def lift(self, expr, block=None):

op = expr.op()

if isinstance(op, (ops.ValueNode, ops.ArrayNode)):
if isinstance(op, ops.ValueNode):
return self._sub(expr, block=block)
elif isinstance(op, ops.Filter):
result = self.lift(op.table, block=block)
elif isinstance(op, ops.Projection):
result = self._lift_Projection(expr, block=block)
elif isinstance(op, ops.Join):
result = self._lift_Join(expr, block=block)
elif isinstance(op, (ops.TableNode, ir.HasSchema)):
elif isinstance(op, (ops.TableNode, HasSchema)):
return expr
else:
raise NotImplementedError
Expand Down Expand Up @@ -509,7 +510,8 @@ def _windowize(x, w):
walked = x

op = walked.op()
if isinstance(op, (ops.AnalyticOp, ops.Reduction)):
if (isinstance(op, ops.AnalyticOp) or
getattr(op, '_reduction', False)):
if w is None:
w = window()
return _check_window(walked.over(w))
Expand Down Expand Up @@ -701,7 +703,7 @@ def validate(self, expr):
if isinstance(arg, ir.ScalarExpr):
# arg_valid = True
pass
elif isinstance(arg, ir.ArrayExpr):
elif isinstance(arg, (ir.ArrayExpr, ir.AnalyticExpr)):
roots_valid.append(self.shares_some_roots(arg))
elif isinstance(arg, ir.Expr):
raise NotImplementedError
Expand All @@ -714,17 +716,6 @@ def validate(self, expr):
return is_valid


def find_base_table(expr):
if isinstance(expr, ir.TableExpr):
return expr

for arg in expr.op().flat_args():
if isinstance(arg, ir.Expr):
r = find_base_table(arg)
if isinstance(r, ir.TableExpr):
return r


def find_source_table(expr):
# A more complex version of _find_base_table.
# TODO: Revisit/refactor this all at some point
Expand Down
9 changes: 5 additions & 4 deletions ibis/expr/analytics.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
# limitations under the License.


import ibis.expr.datatypes as dt
import ibis.expr.types as ir
import ibis.expr.rules as rules
import ibis.expr.operations as ops
Expand All @@ -31,8 +32,8 @@ def nbuckets(self):
return None

def output_type(self):
ctype = ir.CategoryType(self.nbuckets)
return ctype.array_ctor()
ctype = dt.Category(self.nbuckets)
return ctype.array_type()


class Bucket(BucketLike):
Expand Down Expand Up @@ -89,8 +90,8 @@ def __init__(self, arg, nbins, binwidth, base, closed='left',

def output_type(self):
# always undefined cardinality (for now)
ctype = ir.CategoryType()
return ctype.array_ctor()
ctype = dt.Category()
return ctype.array_type()


class CategoryLabel(ir.ValueNode):
Expand Down
114 changes: 100 additions & 14 deletions ibis/expr/api.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,8 +12,8 @@
# See the License for the specific language governing permissions and
# limitations under the License.


from ibis.expr.types import (Schema, Expr, # noqa
from ibis.expr.datatypes import Schema # noqa
from ibis.expr.types import (Expr, # noqa
ValueExpr, ScalarExpr, ArrayExpr,
TableExpr,
NumericValue, NumericArray,
Expand Down Expand Up @@ -53,7 +53,8 @@
'schema', 'table', 'literal', 'expr_list', 'timestamp',
'case', 'where', 'sequence',
'now', 'desc', 'null', 'NA',
'cast', 'coalesce', 'greatest', 'least', 'join',
'cast', 'coalesce', 'greatest', 'least',
'cross_join', 'join',
'row_number',
'negate', 'ifelse',
'Expr', 'Schema',
Expand Down Expand Up @@ -107,11 +108,11 @@ def table(schema, name=None):
-------
table : TableExpr
"""
if not isinstance(schema, ir.Schema):
if not isinstance(schema, Schema):
if isinstance(schema, list):
schema = ir.Schema.from_tuples(schema)
schema = Schema.from_tuples(schema)
else:
schema = ir.Schema.from_dict(schema)
schema = Schema.from_dict(schema)

node = _ops.UnboundTable(schema, name=name)
return TableExpr(node)
Expand Down Expand Up @@ -549,7 +550,7 @@ def value_counts(arg, metric_name='count'):
counts : TableExpr
Aggregated table
"""
base = _L.find_base_table(arg)
base = ir.find_base_table(arg)
metric = base.count().name(metric_name)

try:
Expand Down Expand Up @@ -711,7 +712,7 @@ def lead(arg, offset=None, default=None):
rank = _unary_op('rank', _ops.MinRank)
dense_rank = _unary_op('dense_rank', _ops.DenseRank)
cumsum = _unary_op('cumsum', _ops.CumulativeSum)
cummean = _unary_op('cummena', _ops.CumulativeMean)
cummean = _unary_op('cummean', _ops.CumulativeMean)
cummin = _unary_op('cummin', _ops.CumulativeMin)
cummax = _unary_op('cummax', _ops.CumulativeMax)

Expand Down Expand Up @@ -996,8 +997,26 @@ def _integer_to_timestamp(arg, unit='s'):
)


def convert_base(arg, from_base, to_base):
"""
Convert number (as integer or string) from one base to another
Parameters
----------
arg : string or integer
from_base : integer
to_base : integer
Returns
-------
converted : string
"""
return _ops.BaseConvert(arg, from_base, to_base).to_expr()


_integer_value_methods = dict(
to_timestamp=_integer_to_timestamp
to_timestamp=_integer_to_timestamp,
convert_base=convert_base
)


Expand Down Expand Up @@ -1054,7 +1073,12 @@ def ifelse(arg, true_expr, false_expr):


_boolean_array_methods = dict(
any=_unary_op('any', _ops.Any)
any=_unary_op('any', _ops.Any),
notany=_unary_op('notany', _ops.NotAny),
all=_unary_op('all', _ops.All),
notall=_unary_op('notany', _ops.NotAll),
cumany=_unary_op('cumany', _ops.CumulativeAny),
cumall=_unary_op('cumall', _ops.CumulativeAll)
)


Expand Down Expand Up @@ -1387,6 +1411,8 @@ def _string_dunder_contains(arg, substr):
rstrip=_unary_op('rstrip', _ops.RStrip),
capitalize=_unary_op('initcap', _ops.Capitalize),

convert_base=convert_base,

__contains__=_string_dunder_contains,
contains=_string_contains,
like=_string_like,
Expand Down Expand Up @@ -1520,11 +1546,28 @@ def join(left, right, predicates=(), how='inner'):
return TableExpr(op)


def cross_join(left, right, prefixes=None):
def cross_join(*args, **kwargs):
"""
Perform a cross join (cartesian product) amongst a list of tables, with
optional set of prefixes to apply to overlapping column names
Parameters
----------
positional args: tables to join
prefixes keyword : prefixes for each table
Not yet implemented
Examples
--------
>>> joined1 = ibis.cross_join(a, b, c, d, e)
>>> joined2 = ibis.cross_join(a, b, c, prefixes=['a_', 'b_', 'c_']))
Returns
-------
joined : TableExpr
If prefixes not provided, the result schema is not yet materialized
"""
op = _ops.CrossJoin(left, right)
op = _ops.CrossJoin(*args, **kwargs)
return TableExpr(op)


Expand All @@ -1539,6 +1582,33 @@ def _table_count(self):
return _ops.Count(self, None).to_expr().name('count')


def _table_info(self, buf=None):
"""
Similar to pandas DataFrame.info. Show column names, types, and null
counts. Output to stdout by default
"""
metrics = [self.count().name('nrows')]
for col in self.columns:
metrics.append(self[col].count().name(col))

metrics = self.aggregate(metrics).execute().loc[0]

names = ['Column', '------'] + self.columns
types = ['Type', '----'] + [repr(x) for x in self.schema().types]
counts = ['Non-null #', '----------'] + [str(x) for x in metrics[1:]]
col_metrics = util.adjoin(2, names, types, counts)

if buf is None:
import sys
buf = sys.stdout

result = ('Table rows: {0}\n\n'
'{1}'
.format(metrics[0], col_metrics))

buf.write(result)


def _table_set_column(table, name, expr):
"""
Replace an existing column with a new expression
Expand All @@ -1555,6 +1625,8 @@ def _table_set_column(table, name, expr):
set_table : TableExpr
New table expression
"""
expr = table._ensure_expr(expr)

if expr._name != name:
expr = expr.name(name)

Expand Down Expand Up @@ -1598,8 +1670,17 @@ def filter(table, predicates):
"""
if isinstance(predicates, Expr):
predicates = _L.unwrap_ands(predicates)
predicates = util.promote_list(predicates)

predicates = [ir.bind_expr(table, x) for x in predicates]

op = _L.apply_filter(table, predicates)
resolved_predicates = []
for pred in predicates:
if isinstance(pred, ir.AnalyticExpr):
pred = pred.to_filter()
resolved_predicates.append(pred)

op = _L.apply_filter(table, resolved_predicates)
return TableExpr(op)


Expand Down Expand Up @@ -1627,7 +1708,11 @@ def mutate(table, exprs=None, **kwds):
exprs = util.promote_list(exprs)

for k, v in sorted(kwds.items()):
exprs.append(as_value_expr(v).name(k))
if util.is_function(v):
v = v(table)
else:
v = as_value_expr(v)
exprs.append(v.name(k))

has_replacement = False
for expr in exprs:
Expand Down Expand Up @@ -1656,6 +1741,7 @@ def mutate(table, exprs=None, **kwds):

_table_methods = dict(
count=_table_count,
info=_table_info,
set_column=_table_set_column,
filter=filter,
mutate=mutate,
Expand Down
439 changes: 439 additions & 0 deletions ibis/expr/datatypes.py

Large diffs are not rendered by default.

11 changes: 7 additions & 4 deletions ibis/expr/format.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,8 @@
# limitations under the License.

import ibis.util as util

import ibis.expr.datatypes as dt
import ibis.expr.types as ir
import ibis.expr.operations as ops

Expand Down Expand Up @@ -79,7 +81,7 @@ def get_result(self):
if self.memoize:
self._memoize_tables()

if isinstance(what, ir.HasSchema):
if isinstance(what, dt.HasSchema):
# This should also catch aggregations
if not self.memoize and what in self.memo:
text = 'Table: %s' % self.memo.get_alias(what)
Expand Down Expand Up @@ -117,7 +119,8 @@ def get_result(self):
return self._indent(text, self.base_level)

def _memoize_tables(self):
table_memo_ops = (ops.Aggregation, ops.Projection, ops.SelfReference)
table_memo_ops = (ops.Aggregation, ops.Filter,
ops.Projection, ops.SelfReference)

def walk(expr):
op = expr.op()
Expand All @@ -134,7 +137,7 @@ def visit(arg):
visit(op.args)
if isinstance(op, table_memo_ops):
self.memo.observe(op, self._format_node)
elif isinstance(op, ir.HasSchema):
elif isinstance(op, dt.HasSchema):
self.memo.observe(op, self._format_table)

walk(self.expr)
Expand Down Expand Up @@ -230,7 +233,7 @@ def _get_type_display(self, expr=None):
return 'table'
elif isinstance(expr, ir.ArrayExpr):
return 'array(%s)' % expr.type()
elif isinstance(expr, ir.ScalarExpr):
elif isinstance(expr, (ir.ScalarExpr, ir.AnalyticExpr)):
return '%s' % expr.type()
elif isinstance(expr, ir.ExprList):
list_args = [self._get_type_display(arg)
Expand Down
265 changes: 199 additions & 66 deletions ibis/expr/operations.py

Large diffs are not rendered by default.

94 changes: 51 additions & 43 deletions ibis/expr/rules.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@

from ibis.common import IbisTypeError
from ibis.compat import py_string
import ibis.expr.datatypes as dt
import ibis.expr.types as ir
import ibis.common as com
import ibis.util as util
Expand Down Expand Up @@ -81,7 +82,7 @@ def _decimal_promoted_type(args):
if isinstance(arg, ir.DecimalValue):
precisions.append(arg.meta.precision)
scales.append(arg.meta.scale)
return ir.DecimalType(max(precisions), max(scales))
return dt.Decimal(max(precisions), max(scales))


class PowerPromoter(BinaryPromoter):
Expand All @@ -107,22 +108,6 @@ def _get_type(self):
raise NotImplementedError


_nbytes = {
'int8': 1,
'int16': 2,
'int32': 4,
'int64': 8
}


_int_bounds = {
'int8': (-128, 127),
'int16': (-32768, 32767),
'int32': (-2147483648, 2147483647),
'int64': (-9223372036854775808, 9223372036854775807)
}


def highest_precedence_type(exprs):
# Return the highest precedence type from the passed expressions. Also
# verifies that there are valid implicit casts between any of the types and
Expand Down Expand Up @@ -180,10 +165,7 @@ def _get_highest_type(self):
for k, v in self.type_counts.items():
if not v:
continue
if isinstance(k, ir.DataType):
score = self._precedence[k._base_type()]
else:
score = self._precedence[k]
score = self._precedence[k.name()]

scores.append((score, k))

Expand All @@ -199,8 +181,8 @@ def _check_casts(self, typename):


def _int_bounds_promotion(ltype, rtype, op):
lmin, lmax = _int_bounds[ltype]
rmin, rmax = _int_bounds[rtype]
lmin, lmax = ltype.bounds
rmin, rmax = rtype.bounds

values = [op(lmin, rmin), op(lmin, rmax),
op(lmax, rmin), op(lmax, rmax)]
Expand All @@ -209,7 +191,7 @@ def _int_bounds_promotion(ltype, rtype, op):


def _int_one_literal_promotion(atype, lit_val, op):
amin, amax = _int_bounds[atype]
amin, amax = atype.bounds
bound_type = _smallest_int_containing([op(amin, lit_val),
op(amax, lit_val)],
allow_overflow=True)
Expand All @@ -227,22 +209,22 @@ def _smallest_int_containing(values, allow_overflow=False):

def int_literal_class(value, allow_overflow=False):
if -128 <= value <= 127:
scalar_type = 'int8'
t = 'int8'
elif -32768 <= value <= 32767:
scalar_type = 'int16'
t = 'int16'
elif -2147483648 <= value <= 2147483647:
scalar_type = 'int32'
t = 'int32'
else:
if value < -9223372036854775808 or value > 9223372036854775807:
if not allow_overflow:
raise OverflowError(value)
scalar_type = 'int64'
return scalar_type
t = 'int64'
return dt.validate_type(t)


def _largest_int(int_types):
nbytes = max(_nbytes[t] for t in int_types)
return 'int%d' % (8 * nbytes)
nbytes = max(t._nbytes for t in int_types)
return dt.validate_type('int%d' % (8 * nbytes))


class ImplicitCast(object):
Expand All @@ -252,11 +234,7 @@ def __init__(self, value_type, implicit_targets):
self.implicit_targets = implicit_targets

def can_cast(self, target):
if isinstance(target, ir.DataType):
base_type = target._base_type()
else:
base_type = target

base_type = target.name()
return (base_type in self.implicit_targets or
target == self.value_type)

Expand All @@ -266,17 +244,19 @@ def can_cast(self, target):


def shape_like(arg, out_type):
out_type = dt.validate_type(out_type)
if isinstance(arg, ir.ScalarExpr):
return ir.scalar_type(out_type)
return out_type.scalar_type()
else:
return ir.array_type(out_type)
return out_type.array_type()


def shape_like_args(args, out_type):
out_type = dt.validate_type(out_type)
if util.any_of(args, ir.ArrayExpr):
return ir.array_type(out_type)
return out_type.array_type()
else:
return ir.scalar_type(out_type)
return out_type.scalar_type()


def is_table(e):
Expand Down Expand Up @@ -504,6 +484,30 @@ def _validate(self, args, i):
return arg


class OneOf(Argument):

def __init__(self, types, **arg_kwds):
self.types = [t() if not isinstance(t, Argument) else t
for t in types]
Argument.__init__(self, **arg_kwds)

def _validate(self, args, i):
validated = False
for t in self.types:
try:
arg = t.validate(args, i)
validated = True
except:
pass
else:
break

if not validated:
raise IbisTypeError('No type options validated')

return arg


class CastIfDecimal(ValueArgument):

def __init__(self, ref_j, **arg_kwds):
Expand Down Expand Up @@ -602,6 +606,10 @@ def boolean(**arg_kwds):
return ValueTyped(ir.BooleanValue, 'not string', **arg_kwds)


def one_of(args, **arg_kwds):
return OneOf(args, **arg_kwds)


class StringOptions(Argument):

def __init__(self, options, **arg_kwds):
Expand Down Expand Up @@ -659,16 +667,16 @@ def _validate(self, args, i):
list_of = ListOf


class DataType(Argument):
class DataTypeArgument(Argument):

def _validate(self, args, i):
arg = args[i]

if isinstance(arg, py_string):
arg = arg.lower()

arg = args[i] = ir._validate_type(arg)
arg = args[i] = dt.validate_type(arg)
return arg


data_type = DataType
data_type = DataTypeArgument
4 changes: 2 additions & 2 deletions ibis/expr/tests/mocks.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
# limitations under the License.

from ibis.client import SQLClient
import ibis.expr.types as ir
from ibis.expr.datatypes import Schema
import ibis


Expand Down Expand Up @@ -127,7 +127,7 @@ def __init__(self):

def _get_table_schema(self, name):
name = name.replace('`', '')
return ir.Schema.from_tuples(self._tables[name])
return Schema.from_tuples(self._tables[name])

def execute(self, expr, limit=None):
ast = self._build_ast_ensure_limit(expr, limit)
Expand Down
20 changes: 16 additions & 4 deletions ibis/expr/tests/test_analytics.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,8 @@
import ibis.expr.types as ir
import ibis

from ibis.tests.util import assert_equal


class TestAnalytics(unittest.TestCase):

Expand Down Expand Up @@ -70,13 +72,23 @@ def test_topk_analysis_bug(self):
# GH #398
airlines = ibis.table([('dest', 'string'),
('origin', 'string'),
('arrdelay', 'int32')], 'airlines')

('arrdelay', 'int32')],
'airlines')
dests = ['ORD', 'JFK', 'SFO']
t = airlines[airlines.dest.isin(dests)]
delay_filter = t.dest.topk(10, by=t.arrdelay.mean())
filtered = t.filter([delay_filter])

# predicate is unmodified by analysis
post_pred = filtered.op().predicates[1]
assert delay_filter.equals(post_pred)
assert delay_filter.to_filter().equals(post_pred)

def test_topk_function_late_bind(self):
# GH #520
airlines = ibis.table([('dest', 'string'),
('origin', 'string'),
('arrdelay', 'int32')],
'airlines')
expr1 = airlines.dest.topk(5, by=lambda x: x.arrdelay.mean())
expr2 = airlines.dest.topk(5, by=airlines.arrdelay.mean())

assert_equal(expr1.to_aggregation(), expr2.to_aggregation())
105 changes: 105 additions & 0 deletions ibis/expr/tests/test_case.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,105 @@
# Copyright 2014 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ibis.expr.types as ir
import ibis.expr.operations as ops
import ibis

from ibis.compat import unittest
from ibis.expr.tests.mocks import BasicTestCase
from ibis.tests.util import assert_equal


class TestCaseExpressions(BasicTestCase, unittest.TestCase):

def test_ifelse(self):
bools = self.table.g.isnull()
result = bools.ifelse("foo", "bar")
assert isinstance(result, ir.StringArray)

def test_ifelse_literal(self):
pass

def test_simple_case_expr(self):
case1, result1 = "foo", self.table.a
case2, result2 = "bar", self.table.c
default_result = self.table.b

expr1 = self.table.g.lower().cases(
[(case1, result1),
(case2, result2)],
default=default_result
)

expr2 = (self.table.g.lower().case()
.when(case1, result1)
.when(case2, result2)
.else_(default_result)
.end())

assert_equal(expr1, expr2)
assert isinstance(expr1, ir.Int32Array)

def test_multiple_case_expr(self):
case1 = self.table.a == 5
case2 = self.table.b == 128
case3 = self.table.c == 1000

result1 = self.table.f
result2 = self.table.b * 2
result3 = self.table.e

default = self.table.d

expr = (ibis.case()
.when(case1, result1)
.when(case2, result2)
.when(case3, result3)
.else_(default)
.end())

op = expr.op()
assert isinstance(expr, ir.DoubleArray)
assert isinstance(op, ops.SearchedCase)
assert op.default is default

def test_simple_case_no_default(self):
# TODO: this conflicts with the null else cases below. Make a decision
# about what to do, what to make the default behavior based on what the
# user provides. SQL behavior is to use NULL when nothing else
# provided. The .replace convenience API could use the field values as
# the default, getting us around this issue.
pass

def test_simple_case_null_else(self):
expr = self.table.g.case().when("foo", "bar").end()
op = expr.op()

assert isinstance(expr, ir.StringArray)
assert isinstance(op.default, ir.ValueExpr)
assert isinstance(op.default.op(), ir.NullLiteral)

def test_multiple_case_null_else(self):
expr = ibis.case().when(self.table.g == "foo", "bar").end()
op = expr.op()

assert isinstance(expr, ir.StringArray)
assert isinstance(op.default, ir.ValueExpr)
assert isinstance(op.default.op(), ir.NullLiteral)

def test_case_type_precedence(self):
pass

def test_no_implicit_cast_possible(self):
pass
12 changes: 12 additions & 0 deletions ibis/expr/tests/test_format.py
Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,18 @@ def test_memoize_database_table(self):
assert formatted.count('test1') == 1
assert formatted.count('test2') == 1

def test_memoize_filtered_table(self):
airlines = ibis.table([('dest', 'string'),
('origin', 'string'),
('arrdelay', 'int32')], 'airlines')

dests = ['ORD', 'JFK', 'SFO']
t = airlines[airlines.dest.isin(dests)]
delay_filter = t.dest.topk(10, by=t.arrdelay.mean())

result = repr(delay_filter)
assert result.count('Filter') == 1

def test_named_value_expr_show_name(self):
expr = self.table.f * 2
expr2 = expr.name('baz')
Expand Down
15 changes: 13 additions & 2 deletions ibis/expr/tests/test_interactive.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,6 @@
from ibis.expr.tests.mocks import MockConnection
import ibis.config as config

from ibis.tests.util import assert_equal


class TestInteractiveUse(unittest.TestCase):

Expand Down Expand Up @@ -45,6 +43,19 @@ def test_default_limit(self):

assert self.con.executed_queries[0] == expected

def test_respect_set_limit(self):
table = self.con.table('functional_alltypes').limit(10)

with config.option_context('interactive', True):
repr(table)

expected = """\
SELECT *
FROM functional_alltypes
LIMIT 10"""

assert self.con.executed_queries[0] == expected

def test_disable_query_limit(self):
table = self.con.table('functional_alltypes')

Expand Down
16 changes: 8 additions & 8 deletions ibis/expr/tests/test_sql_builtins.py
Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ def test_zeroifnull(self):
assert type(dresult) == ir.DoubleArray

# Impala upconverts all ints to bigint. Hmm.
assert type(iresult) == ir.Int64Array
assert type(iresult) == type(iresult)

def test_fillna(self):
result = self.alltypes.double_col.fillna(5)
Expand All @@ -78,15 +78,15 @@ def test_fillna(self):
def test_ceil_floor(self):
cresult = self.alltypes.double_col.ceil()
fresult = self.alltypes.double_col.floor()
assert isinstance(cresult, ir.Int32Array)
assert isinstance(fresult, ir.Int32Array)
assert isinstance(cresult, ir.Int64Array)
assert isinstance(fresult, ir.Int64Array)
assert type(cresult.op()) == ops.Ceil
assert type(fresult.op()) == ops.Floor

cresult = api.literal(1.2345).ceil()
fresult = api.literal(1.2345).floor()
assert isinstance(cresult, ir.Int32Scalar)
assert isinstance(fresult, ir.Int32Scalar)
assert isinstance(cresult, ir.Int64Scalar)
assert isinstance(fresult, ir.Int64Scalar)

dec_col = self.lineitem.l_extendedprice
cresult = dec_col.ceil()
Expand All @@ -99,15 +99,15 @@ def test_ceil_floor(self):

def test_sign(self):
result = self.alltypes.double_col.sign()
assert isinstance(result, ir.Int32Array)
assert isinstance(result, ir.FloatArray)
assert type(result.op()) == ops.Sign

result = api.literal(1.2345).sign()
assert isinstance(result, ir.Int32Scalar)
assert isinstance(result, ir.FloatScalar)

dec_col = self.lineitem.l_extendedprice
result = dec_col.sign()
assert isinstance(result, ir.Int32Array)
assert isinstance(result, ir.FloatArray)

def test_round(self):
result = self.alltypes.double_col.round()
Expand Down
131 changes: 129 additions & 2 deletions ibis/expr/tests/test_table.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@

from ibis.expr.types import ArrayExpr, TableExpr, RelationError
from ibis.common import ExpressionError
from ibis.expr.datatypes import array_type
import ibis.expr.analysis as L
import ibis.expr.api as api
import ibis.expr.types as ir
Expand Down Expand Up @@ -65,7 +66,7 @@ def test_getitem_column_select(self):

# Make sure it's the right type
assert isinstance(col, ArrayExpr)
assert isinstance(col, ir.array_type(v))
assert isinstance(col, array_type(v))

# Ensure we have a field selection with back-reference to the table
parent = col.parent()
Expand Down Expand Up @@ -93,7 +94,7 @@ def test_projection(self):
assert proj.schema().names == cols
for c in cols:
expr = proj[c]
assert type(expr) == type(self.table[c])
assert isinstance(expr, type(self.table[c]))

def test_projection_no_list(self):
expr = (self.table.f * 2).name('bar')
Expand Down Expand Up @@ -892,6 +893,15 @@ def test_cross_join(self):
ex_schema = self.table.schema().append(agg_schema)
assert_equal(joined.schema(), ex_schema)

def test_cross_join_multiple(self):
a = self.table['a', 'b', 'c']
b = self.table['d', 'e']
c = self.table['f', 'h']

joined = ibis.cross_join(a, b, c)
expected = a.cross_join(b.cross_join(c))
assert joined.equals(expected)

def test_join_compound_boolean_predicate(self):
# The user might have composed predicates through logical operations
pass
Expand Down Expand Up @@ -1131,3 +1141,120 @@ def test_cannot_use_existence_expression_in_join(self):
def test_not_exists_predicate(self):
cond = -(self.t1.key1 == self.t2.key1).any()
assert isinstance(cond.op(), ops.NotAny)


class TestLateBindingFunctions(BasicTestCase, unittest.TestCase):

def test_aggregate_metrics(self):
functions = [lambda x: x.e.sum().name('esum'),
lambda x: x.f.sum().name('fsum')]
exprs = [self.table.e.sum().name('esum'),
self.table.f.sum().name('fsum')]

result = self.table.aggregate(functions[0])
expected = self.table.aggregate(exprs[0])
assert_equal(result, expected)

result = self.table.aggregate(functions)
expected = self.table.aggregate(exprs)
assert_equal(result, expected)

def test_group_by_keys(self):
m = self.table.mutate(foo=self.table.f * 2,
bar=self.table.e / 2)

expr = m.group_by(lambda x: x.foo).size()
expected = m.group_by('foo').size()
assert_equal(expr, expected)

expr = m.group_by([lambda x: x.foo, lambda x: x.bar]).size()
expected = m.group_by(['foo', 'bar']).size()
assert_equal(expr, expected)

def test_having(self):
m = self.table.mutate(foo=self.table.f * 2,
bar=self.table.e / 2)

expr = (m.group_by('foo')
.having(lambda x: x.foo.sum() > 10)
.size())
expected = (m.group_by('foo')
.having(m.foo.sum() > 10)
.size())

assert_equal(expr, expected)

def test_filter(self):
m = self.table.mutate(foo=self.table.f * 2,
bar=self.table.e / 2)

result = m.filter(lambda x: x.foo > 10)
result2 = m[lambda x: x.foo > 10]
expected = m[m.foo > 10]

assert_equal(result, expected)
assert_equal(result2, expected)

result = m.filter([lambda x: x.foo > 10,
lambda x: x.bar < 0])
expected = m.filter([m.foo > 10, m.bar < 0])
assert_equal(result, expected)

def test_sort_by(self):
m = self.table.mutate(foo=self.table.e + self.table.f)

result = m.sort_by(lambda x: -x.foo)
expected = m.sort_by(-m.foo)
assert_equal(result, expected)

result = m.sort_by(lambda x: ibis.desc(x.foo))
expected = m.sort_by(ibis.desc('foo'))
assert_equal(result, expected)

result = m.sort_by(ibis.desc(lambda x: x.foo))
expected = m.sort_by(ibis.desc('foo'))
assert_equal(result, expected)

def test_projection(self):
m = self.table.mutate(foo=self.table.f * 2)

def f(x):
return (x.foo * 2).name('bar')

result = m.projection([f, 'f'])
result2 = m[f, 'f']
expected = m.projection([f(m), 'f'])
assert_equal(result, expected)
assert_equal(result2, expected)

def test_mutate(self):
m = self.table.mutate(foo=self.table.f * 2)

def g(x):
return x.foo * 2

def h(x):
return x.bar * 2

result = m.mutate(bar=g).mutate(baz=h)

m2 = m.mutate(bar=g(m))
expected = m2.mutate(baz=h(m2))

assert_equal(result, expected)

def test_add_column(self):
def g(x):
return x.f * 2

result = self.table.add_column(g, name='foo')
expected = self.table.mutate(foo=g)
assert_equal(result, expected)

def test_set_column(self):
def g(x):
return x.f * 2

result = self.table.set_column('f', g)
expected = self.table.set_column('f', self.table.f * 2)
assert_equal(result, expected)
131 changes: 40 additions & 91 deletions ibis/expr/tests/test_value_exprs.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@

from ibis.common import IbisTypeError
import ibis.expr.api as api
import ibis.expr.datatypes as dt
import ibis.expr.types as ir
import ibis.expr.operations as ops
import ibis
Expand Down Expand Up @@ -90,7 +91,7 @@ def test_int_literal_cases(self):

for value, ex_type in cases:
expr = ibis.literal(value)
klass = ir.scalar_type(ex_type)
klass = dt.scalar_type(ex_type)
assert isinstance(expr, klass)
assert isinstance(expr.op(), ir.Literal)
assert expr.op().value is value
Expand Down Expand Up @@ -255,7 +256,26 @@ def test_null_literal(self):
pass


class TestMathUnaryOps(BasicTestCase, unittest.TestCase):
class TestCumulativeOps(BasicTestCase, unittest.TestCase):

def test_cumulative_yield_array_types(self):
d = self.table.f
h = self.table.h

cases = [
d.cumsum(),
d.cummean(),
d.cummin(),
d.cummax(),
h.cumany(),
h.cumall()
]

for expr in cases:
assert isinstance(expr, ir.ArrayExpr)


class TestMathOps(BasicTestCase, unittest.TestCase):

def test_log_variants(self):
opnames = ['ln', 'log', 'log2', 'log10']
Expand Down Expand Up @@ -313,10 +333,10 @@ def test_string_to_number(self):
for t in types:
c = 'g'
casted = self.table[c].cast(t)
assert isinstance(casted, ir.array_type(t))
assert isinstance(casted, dt.array_type(t))

casted_literal = ibis.literal('5').cast(t).name('bar')
assert isinstance(casted_literal, ir.scalar_type(t))
assert isinstance(casted_literal, dt.scalar_type(t))
assert casted_literal.get_name() == 'bar'

def test_number_to_string(self):
Expand All @@ -338,7 +358,7 @@ def test_casted_exprs_are_unnamed(self):
expr.value_counts()


class TestBooleanUnaryOps(BasicTestCase, unittest.TestCase):
class TestBooleanOps(BasicTestCase, unittest.TestCase):

def test_nonzero(self):
pass
Expand All @@ -357,6 +377,19 @@ def test_negate(self):
def test_isnull_notnull(self):
pass

def test_any_all_notany(self):
col = self.table['h']

expr1 = col.any()
expr2 = col.notany()
expr3 = col.all()
expr4 = (self.table.c == 0).any()
expr5 = (self.table.c == 0).all()

for expr in [expr1, expr2, expr3, expr4, expr5]:
assert isinstance(expr, api.BooleanScalar)
assert ops.is_reduction(expr)


class TestComparisons(BasicTestCase, unittest.TestCase):

Expand Down Expand Up @@ -574,11 +607,11 @@ def _check_literal_promote_cases(self, op, cases):
col = self.table[name]

result = op(col, val)
ex_class = ir.array_type(ex_type)
ex_class = dt.array_type(ex_type)
assert isinstance(result, ex_class)

result = op(val, col)
ex_class = ir.array_type(ex_type)
ex_class = dt.array_type(ex_type)
assert isinstance(result, ex_class)

def test_add_array_promotions(self):
Expand All @@ -597,90 +630,6 @@ def test_string_add_concat(self):
pass


class TestCaseExpressions(BasicTestCase, unittest.TestCase):

def test_ifelse(self):
bools = self.table.g.isnull()
result = bools.ifelse("foo", "bar")
assert isinstance(result, ir.StringArray)

def test_ifelse_literal(self):
pass

def test_simple_case_expr(self):
case1, result1 = "foo", self.table.a
case2, result2 = "bar", self.table.c
default_result = self.table.b

expr1 = self.table.g.lower().cases(
[(case1, result1),
(case2, result2)],
default=default_result
)

expr2 = (self.table.g.lower().case()
.when(case1, result1)
.when(case2, result2)
.else_(default_result)
.end())

assert_equal(expr1, expr2)
assert isinstance(expr1, ir.Int32Array)

def test_multiple_case_expr(self):
case1 = self.table.a == 5
case2 = self.table.b == 128
case3 = self.table.c == 1000

result1 = self.table.f
result2 = self.table.b * 2
result3 = self.table.e

default = self.table.d

expr = (ibis.case()
.when(case1, result1)
.when(case2, result2)
.when(case3, result3)
.else_(default)
.end())

op = expr.op()
assert isinstance(expr, ir.DoubleArray)
assert isinstance(op, ops.SearchedCase)
assert op.default is default

def test_simple_case_no_default(self):
# TODO: this conflicts with the null else cases below. Make a decision
# about what to do, what to make the default behavior based on what the
# user provides. SQL behavior is to use NULL when nothing else
# provided. The .replace convenience API could use the field values as
# the default, getting us around this issue.
pass

def test_simple_case_null_else(self):
expr = self.table.g.case().when("foo", "bar").end()
op = expr.op()

assert isinstance(expr, ir.StringArray)
assert isinstance(op.default, ir.ValueExpr)
assert isinstance(op.default.op(), ir.NullLiteral)

def test_multiple_case_null_else(self):
expr = ibis.case().when(self.table.g == "foo", "bar").end()
op = expr.op()

assert isinstance(expr, ir.StringArray)
assert isinstance(op.default, ir.ValueExpr)
assert isinstance(op.default.op(), ir.NullLiteral)

def test_case_type_precedence(self):
pass

def test_no_implicit_cast_possible(self):
pass


class TestExprList(unittest.TestCase):

def setUp(self):
Expand Down
389 changes: 66 additions & 323 deletions ibis/expr/types.py

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42 changes: 38 additions & 4 deletions ibis/filesystems.py
Original file line number Diff line number Diff line change
Expand Up @@ -56,6 +56,34 @@ def exists(self, path):
def status(self, path):
raise NotImplementedError

def chmod(self, hdfs_path, permissions):
"""
Change permissions of a file of directory
Parameters
----------
hdfs_path : string
Directory or path
permissions : string
Octal permissions string
"""
raise NotImplementedError

def chown(self, hdfs_path, owner=None, group=None):
"""
Change owner (and/or group) of a file or directory
Parameters
----------
hdfs_path : string
Directory or path
owner : string, optional
Name of owner
group : string, optional
Name of group
"""
raise NotImplementedError

def head(self, hdfs_path, nbytes=1024, offset=0):
"""
Retrieve the requested number of bytes from a file
Expand Down Expand Up @@ -240,6 +268,14 @@ def status(self, path):
"""
return self.client.status(path)

@implements(HDFS.chmod)
def chmod(self, path, permissions):
self.client.set_permissions(path, permissions)

@implements(HDFS.chown)
def chown(self, path, owner=None, group=None):
self.client.set_owner(path, owner, group)

@implements(HDFS.exists)
def exists(self, path):
try:
Expand Down Expand Up @@ -327,11 +363,9 @@ def put(self, hdfs_path, resource, overwrite=False, verbose=None,
else:
if verbose:
self.log('Writing buffer to HDFS {0}'.format(hdfs_path))
# TODO: eliminate the .getvalue() call to support general
# handle types
resource.seek(0)
self.client.write(hdfs_path, resource.read(),
overwrite=overwrite, **kwargs)
self.client.write(hdfs_path, resource, overwrite=overwrite,
**kwargs)

@implements(HDFS.get)
def get(self, hdfs_path, local_path, overwrite=False, verbose=None):
Expand Down
Empty file added ibis/hive/__init__.py
Empty file.
Empty file added ibis/hive/tests/__init__.py
Empty file.
Empty file added ibis/impala/__init__.py
Empty file.
61 changes: 61 additions & 0 deletions ibis/impala/api.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,61 @@
# Copyright 2015 Cloudera Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from ibis.impala.client import (ImpalaConnection, ImpalaClient, # noqa
Database, ImpalaTable)
from ibis.impala.udf import add_operation, wrap_udf, wrap_uda # noqa


def connect(host='localhost', port=21050, protocol='hiveserver2',
database='default', timeout=45, use_ssl=False, ca_cert=None,
use_ldap=False, ldap_user=None, ldap_password=None,
use_kerberos=False, kerberos_service_name='impala',
pool_size=8):
"""
Create an Impala Client for use with Ibis
Parameters
----------
host : host name
port : int, default 21050 (HiveServer 2)
protocol : {'hiveserver2', 'beeswax'}
database :
timeout :
use_ssl :
ca_cert :
use_ldap : boolean, default False
ldap_user :
ldap_password :
use_kerberos : boolean, default False
kerberos_service_name : string, default 'impala'
Returns
-------
con : ImpalaConnection
"""
params = {
'host': host,
'port': port,
'protocol': protocol,
'database': database,
'timeout': timeout,
'use_ssl': use_ssl,
'ca_cert': ca_cert,
'use_ldap': use_ldap,
'ldap_user': ldap_user,
'ldap_password': ldap_password,
'use_kerberos': use_kerberos,
'kerberos_service_name': kerberos_service_name
}

return ImpalaConnection(pool_size=pool_size, **params)
1,426 changes: 1,426 additions & 0 deletions ibis/impala/client.py

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17 changes: 17 additions & 0 deletions ibis/impala/compat.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
# Copyright 2015 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from impala.error import Error as ImpylaError # noqa
from impala.error import HiveServer2Error as HS2Error # noqa
import impala.dbapi as impyla # noqa
581 changes: 581 additions & 0 deletions ibis/impala/ddl.py

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File renamed without changes.
Empty file added ibis/impala/tests/__init__.py
Empty file.
15 changes: 15 additions & 0 deletions ibis/impala/tests/conftest.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
# Copyright 2015 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from ibis.tests.conftest import * # noqa
212 changes: 212 additions & 0 deletions ibis/impala/tests/test_client.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,212 @@
# Copyright 2014 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import pandas as pd

from ibis.compat import unittest
from ibis.tests.util import IbisTestEnv, ImpalaE2E, assert_equal, connect_test

import ibis.common as com
import ibis.config as config
import ibis.expr.types as ir
import ibis.util as util


def approx_equal(a, b, eps):
assert abs(a - b) < eps


ENV = IbisTestEnv()


class TestImpalaClient(ImpalaE2E, unittest.TestCase):

def test_raise_ibis_error_no_hdfs(self):
# #299
client = connect_test(ENV, with_hdfs=False)
self.assertRaises(com.IbisError, getattr, client, 'hdfs')

def test_get_table_ref(self):
table = self.db.functional_alltypes
assert isinstance(table, ir.TableExpr)

table = self.db['functional_alltypes']
assert isinstance(table, ir.TableExpr)

def test_run_sql(self):
query = """SELECT li.*
FROM {0}.tpch_lineitem li
""".format(self.test_data_db)
table = self.con.sql(query)

li = self.con.table('tpch_lineitem')
assert isinstance(table, ir.TableExpr)
assert_equal(table.schema(), li.schema())

expr = table.limit(10)
result = expr.execute()
assert len(result) == 10

def test_sql_with_limit(self):
query = """\
SELECT *
FROM functional_alltypes
LIMIT 10"""
table = self.con.sql(query)
ex_schema = self.con.get_schema('functional_alltypes')
assert_equal(table.schema(), ex_schema)

def test_raw_sql(self):
query = 'SELECT * from functional_alltypes limit 10'
cur = self.con.raw_sql(query, results=True)
rows = cur.fetchall()
cur.release()
assert len(rows) == 10

def test_explain(self):
t = self.con.table('functional_alltypes')
expr = t.group_by('string_col').size()
result = self.con.explain(expr)
assert isinstance(result, str)

def test_get_schema(self):
t = self.con.table('tpch_lineitem')
schema = self.con.get_schema('tpch_lineitem',
database=self.test_data_db)
assert_equal(t.schema(), schema)

def test_result_as_dataframe(self):
expr = self.alltypes.limit(10)

ex_names = expr.schema().names
result = self.con.execute(expr)

assert isinstance(result, pd.DataFrame)
assert list(result.columns) == ex_names
assert len(result) == 10

def test_adapt_scalar_array_results(self):
table = self.alltypes

expr = table.double_col.sum()
result = self.con.execute(expr)
assert isinstance(result, float)

with config.option_context('interactive', True):
result2 = expr.execute()
assert isinstance(result2, float)

expr = (table.group_by('string_col')
.aggregate([table.count().name('count')])
.string_col)

result = self.con.execute(expr)
assert isinstance(result, pd.Series)

def test_array_default_limit(self):
t = self.alltypes

result = self.con.execute(t.float_col, limit=100)
assert len(result) == 100

def test_limit_overrides_expr(self):
# #418
t = self.alltypes
result = self.con.execute(t.limit(10), limit=5)
assert len(result) == 5

def test_verbose_log_queries(self):
queries = []

def logger(x):
queries.append(x)

with config.option_context('verbose', True):
with config.option_context('verbose_log', logger):
self.con.table('tpch_orders', database=self.test_data_db)

assert len(queries) == 1
expected = 'SELECT * FROM {0}.`tpch_orders` LIMIT 0'.format(
self.test_data_db)
assert queries[0] == expected

def test_sql_query_limits(self):
table = self.con.table('tpch_nation', database=self.test_data_db)
with config.option_context('sql.default_limit', 100000):
# table has 25 rows
assert len(table.execute()) == 25
# comply with limit arg for TableExpr
assert len(table.execute(limit=10)) == 10
# state hasn't changed
assert len(table.execute()) == 25
# non-TableExpr ignores default_limit
assert table.count().execute() == 25
# non-TableExpr doesn't observe limit arg
assert table.count().execute(limit=10) == 25
with config.option_context('sql.default_limit', 20):
# TableExpr observes default limit setting
assert len(table.execute()) == 20
# explicit limit= overrides default
assert len(table.execute(limit=15)) == 15
assert len(table.execute(limit=23)) == 23
# non-TableExpr ignores default_limit
assert table.count().execute() == 25
# non-TableExpr doesn't observe limit arg
assert table.count().execute(limit=10) == 25
# eliminating default_limit doesn't break anything
with config.option_context('sql.default_limit', None):
assert len(table.execute()) == 25
assert len(table.execute(limit=15)) == 15
assert len(table.execute(limit=10000)) == 25
assert table.count().execute() == 25
assert table.count().execute(limit=10) == 25

def test_database_repr(self):
assert self.test_data_db in repr(self.db)

def test_database_drop(self):
tmp_name = '__ibis_test_{0}'.format(util.guid())
self.con.create_database(tmp_name)

db = self.con.database(tmp_name)
self.temp_databases.append(tmp_name)
db.drop()
assert not self.con.exists_database(tmp_name)

def test_namespace(self):
ns = self.db.namespace('tpch_')

assert 'tpch_' in repr(ns)

table = ns.lineitem
expected = self.db.tpch_lineitem
attrs = dir(ns)
assert 'lineitem' in attrs
assert 'functional_alltypes' not in attrs

assert_equal(table, expected)

def test_close_drops_temp_tables(self):
from posixpath import join as pjoin

hdfs_path = pjoin(self.test_data_dir, 'parquet/tpch_region')

client = connect_test(ENV)
table = client.parquet_file(hdfs_path)

name = table.op().name
assert self.con.exists_table(name) is True
client.close()

assert not self.con.exists_table(name)
788 changes: 788 additions & 0 deletions ibis/impala/tests/test_ddl.py

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563 changes: 65 additions & 498 deletions ibis/tests/test_impala_e2e.py → ibis/impala/tests/test_exprs.py

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Original file line number Diff line number Diff line change
Expand Up @@ -17,27 +17,31 @@
import pytest

import ibis
import ibis.expr.datatypes as dt
import ibis.expr.types as ir
from ibis.compat import unittest
from ibis.util import pandas_to_ibis_schema
from ibis.common import IbisTypeError
from ibis.tests.util import ImpalaE2E

from ibis.impala.client import pandas_to_ibis_schema


functional_alltypes_with_nulls = pd.DataFrame({
'bigint_col': np.int64([0, 10, 20, 30, 40, 50, 60, 70, 80, 90]),
'bool_col': np.bool_([True, False, True, False, True, None, True, False, True,
False]),
'bool_col': np.bool_([True, False, True, False, True, None,
True, False, True, False]),
'date_string_col': ['11/01/10', None, '11/01/10', '11/01/10',
'11/01/10', '11/01/10', '11/01/10', '11/01/10',
'11/01/10', '11/01/10'],
'double_col': np.float64([0.0, 10.1, None, 30.299999999999997,
40.399999999999999, 50.5, 60.599999999999994,
70.700000000000003, 80.799999999999997, 90.899999999999991]),
40.399999999999999, 50.5, 60.599999999999994,
70.700000000000003, 80.799999999999997,
90.899999999999991]),
'float_col': np.float32([None, 1.1000000238418579, 2.2000000476837158,
3.2999999523162842, 4.4000000953674316, 5.5,
6.5999999046325684, 7.6999998092651367, 8.8000001907348633,
9.8999996185302734]),
3.2999999523162842, 4.4000000953674316, 5.5,
6.5999999046325684, 7.6999998092651367,
8.8000001907348633,
9.8999996185302734]),
'int_col': np.int32([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
'month': [11, 11, 11, 11, 2, 11, 11, 11, 11, 11],
'smallint_col': np.int16([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
Expand Down Expand Up @@ -161,11 +165,10 @@ def test_dtype_string(self):
def test_dtype_categorical(self):
df = pd.DataFrame({'col': ['a', 'b', 'c', 'a']}, dtype='category')
inferred = pandas_to_ibis_schema(df)
expected = ibis.schema([('col', 'category')])
expected = ibis.schema([('col', dt.Category(3))])
assert inferred == expected


@pytest.mark.e2e
class TestPandasRoundTrip(ImpalaE2E, unittest.TestCase):

def test_round_trip(self):
Expand Down
46 changes: 46 additions & 0 deletions ibis/impala/tests/test_partition.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,46 @@
# Copyright 2014 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ibis

from ibis.compat import unittest
from ibis.tests.util import ImpalaE2E, assert_equal

import ibis.util as util


class TestPartitioning(ImpalaE2E, unittest.TestCase):

def test_create_table_with_partition_column(self):
schema = ibis.schema([('year', 'int32'),
('month', 'int8'),
('day', 'int8'),
('value', 'double')])

name = util.guid()
self.con.create_table(name, schema=schema, partition=['year', 'month'])
self.temp_tables.append(name)

# the partition column get put at the end of the table
ex_schema = ibis.schema([('day', 'int8'),
('value', 'double'),
('year', 'int32'),
('month', 'int8')])
table_schema = self.con.get_schema(name)
assert_equal(table_schema, ex_schema)

partition_schema = self.con.get_partition_schema(name)
expected = ibis.schema([('year', 'int32'),
('month', 'int8')])
assert_equal(partition_schema, expected)
503 changes: 503 additions & 0 deletions ibis/impala/tests/test_udf.py

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262 changes: 262 additions & 0 deletions ibis/impala/udf.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,262 @@
# Copyright 2015 Cloudera Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from hashlib import sha1

from ibis.common import IbisTypeError

from ibis.expr.datatypes import validate_type
import ibis.expr.datatypes as _dt
import ibis.expr.operations as _ops
import ibis.expr.rules as rules
import ibis.expr.types as ir
import ibis.sql.exprs as _expr
import ibis.util as util


class UDFInfo(object):

def __init__(self, input_type, output_type, name):
self.inputs = input_type
self.output = output_type
self.name = name

def __repr__(self):
return ('{0}({1}) returns {2}'.format(
self.name,
', '.join([repr(x) for x in self.inputs]),
self.output))


class UDFCreatorParent(UDFInfo):

def __init__(self, hdfs_file, input_type,
output_type, name=None):
file_suffix = hdfs_file[-3:]
if not(file_suffix == '.so' or file_suffix == '.ll'):
raise ValueError('Invalid file type. Must be .so or .ll ')
self.hdfs_file = hdfs_file
inputs = [validate_type(x) for x in input_type]
output = validate_type(output_type)
new_name = name
if not name:
string = self.so_symbol
for in_type in inputs:
string += in_type.name()
new_name = sha1(string).hexdigest()

UDFInfo.__init__(self, inputs, output, new_name)

def to_operation(self, name=None):
"""
Creates and returns an operator class that can
be passed to add_operation()
Parameters
----------
name : string (optional). Used internally to track function
Returns
-------
op : an operator class to use in constructing function
"""
(in_values, out_value) = _operation_type_conversion(self.inputs,
self.output)
class_name = name
if self.name and not name:
class_name = self.name
elif not (name or self.name):
class_name = 'UDF_{0}'.format(util.guid())
func_dict = {
'input_type': in_values,
'output_type': out_value,
}
UdfOp = type(class_name, (_ops.ValueOp,), func_dict)
return UdfOp

def get_name(self):
return self.name


class UDFCreator(UDFCreatorParent):

def __init__(self, hdfs_file, input_type, output_type,
so_symbol, name=None):
self.so_symbol = so_symbol
UDFCreatorParent.__init__(self, hdfs_file, input_type,
output_type, name=name)


class UDACreator(UDFCreatorParent):

def __init__(self, hdfs_file, input_type, output_type, init_fn,
update_fn, merge_fn, finalize_fn, name=None):
self.init_fn = init_fn
self.update_fn = update_fn
self.merge_fn = merge_fn
self.finalize_fn = finalize_fn
UDFCreatorParent.__init__(self, hdfs_file, input_type,
output_type, name=name)


def _validate_impala_type(t):
if t in _impala_to_ibis_type:
return t
elif _dt._DECIMAL_RE.match(t):
return t
raise IbisTypeError("Not a valid Impala type for UDFs")


def _operation_type_conversion(inputs, output):
in_type = [validate_type(x) for x in inputs]
in_values = [rules.value_typed_as(_convert_types(x)) for x in in_type]
out_type = validate_type(output)
out_value = rules.shape_like_flatargs(out_type)
return (in_values, out_value)


def wrap_uda(hdfs_file, inputs, output, init_fn, update_fn,
merge_fn, finalize_fn, name=None):
"""
Creates and returns a useful container object that can be used to
issue a create_uda() statement and register the uda within ibis
Parameters
----------
hdfs_file: .so file that contains relevant UDA
inputs: list of strings denoting ibis datatypes
output: string denoting ibis datatype
init_fn: string, C++ function name for initialization function
update_fn: string, C++ function name for update function
merge_fn: string, C++ function name for merge function
finalize_fn: C++ function name for finalize function
name: string (optional). Used internally to track function
Returns
-------
container : UDA object
"""
return UDACreator(hdfs_file, inputs, output, init_fn,
update_fn, merge_fn, finalize_fn,
name=name)


def wrap_udf(hdfs_file, inputs, output, so_symbol, name=None):
"""
Creates and returns a useful container object that can be used to
issue a create_udf() statement and register the udf within ibis
Parameters
----------
hdfs_file: .so file that contains relevant UDF
inputs: list of strings denoting ibis datatypes
output: string denoting ibis datatype
so_symbol: string, C++ function name for relevant UDF
name: string (optional). Used internally to track function
Returns
-------
container : UDF object
"""
return UDFCreator(hdfs_file, inputs, output, so_symbol, name=name)


def scalar_function(inputs, output, name=None):
"""
Creates and returns an operator class that can be passed to add_operation()
Parameters:
inputs: list of strings denoting ibis datatypes
output: string denoting ibis datatype
name: string (optional). Used internally to track function
Returns
-------
op : operator class to use in construction function
"""
(in_values, out_value) = _operation_type_conversion(inputs, output)
class_name = name
if not name:
class_name = 'UDF_{0}'.format(util.guid())

func_dict = {
'input_type': in_values,
'output_type': out_value,
}
UdfOp = type(class_name, (_ops.ValueOp,), func_dict)
return UdfOp


def add_operation(op, func_name, db):
"""
Registers the given operation within the Ibis SQL translation toolchain
Parameters
----------
op: operator class
name: used in issuing statements to SQL engine
database: database the relevant operator is registered to
"""
full_name = '{0}.{1}'.format(db, func_name)
arity = len(op.input_type.types)
_expr._operation_registry[op] = _expr._fixed_arity_call(full_name, arity)


def _impala_type_to_ibis(tval):
if tval in _impala_to_ibis_type:
return _impala_to_ibis_type[tval]
result = _dt._parse_decimal(tval)
if result:
return result.__repr__()
raise Exception('Not a valid Impala type')


def _ibis_string_to_impala(tval):
if tval in _expr._sql_type_names:
return _expr._sql_type_names[tval]
result = _dt._parse_decimal(tval)
if result:
return result.__repr__()


def _convert_types(t):
name = t.name()
return _conversion_types[name]


_conversion_types = {
'boolean': (ir.BooleanValue),
'int8': (ir.Int8Value),
'int16': (ir.Int8Value, ir.Int16Value),
'int32': (ir.Int8Value, ir.Int16Value, ir.Int32Value),
'int64': (ir.Int8Value, ir.Int16Value, ir.Int32Value, ir.Int64Value),
'float': (ir.FloatValue, ir.DoubleValue),
'double': (ir.FloatValue, ir.DoubleValue),
'string': (ir.StringValue),
'timestamp': (ir.TimestampValue),
'decimal': (ir.DecimalValue, ir.FloatValue, ir.DoubleValue)
}


_impala_to_ibis_type = {
'boolean': 'boolean',
'tinyint': 'int8',
'smallint': 'int16',
'int': 'int32',
'bigint': 'int64',
'float': 'float',
'double': 'double',
'string': 'string',
'timestamp': 'timestamp',
'decimal': 'decimal'
}
Empty file added ibis/spark/__init__.py
Empty file.
Empty file added ibis/spark/tests/__init__.py
Empty file.
69 changes: 39 additions & 30 deletions ibis/sql/compiler.py
Original file line number Diff line number Diff line change
Expand Up @@ -347,28 +347,19 @@ def _visit_filter_Any(self, expr):
return transform.get_result()
_visit_filter_NotAny = _visit_filter_Any

def _visit_filter_TopK(self, expr):
def _visit_filter_SummaryFilter(self, expr):
# Top K is rewritten as an
# - aggregation
# - sort by
# - limit
# - left semi join with table set
parent_op = expr.op()
summary_expr = parent_op.args[0]
op = summary_expr.op()

metric_name = '__tmp__'

op = expr.op()

metrics = [op.by.name(metric_name)]

arg_table = L.find_base_table(op.arg)
by_table = L.find_base_table(op.by)

if arg_table.equals(by_table):
agg = arg_table.aggregate(metrics, by=[op.arg])
else:
agg = self.table_set.aggregate(metrics, by=[op.arg])

rank_set = agg.sort_by([(metric_name, False)]).limit(op.k)
rank_set = summary_expr.to_aggregation(
backup_metric_name='__tmp__',
parent_table=self.table_set)

pred = (op.arg == getattr(rank_set, op.arg.get_name()))
self.table_set = self.table_set.semi_join(rank_set, [pred])
Expand Down Expand Up @@ -418,7 +409,7 @@ def _collect(self, expr, toplevel=False):
f(expr, toplevel=toplevel)
elif isinstance(op, (ops.PhysicalTable, ops.SQLQueryResult)):
self._collect_PhysicalTable(expr, toplevel=toplevel)
elif isinstance(op, (ops.Join, ops.MaterializedJoin)):
elif isinstance(op, ops.Join):
self._collect_Join(expr, toplevel=toplevel)
else:
raise NotImplementedError(type(op))
Expand Down Expand Up @@ -462,10 +453,15 @@ def _collect_Limit(self, expr, toplevel=False):
return

op = expr.op()
self.limit = {
'n': op.n,
'offset': op.offset
}

# Ignore "inner" limits, because they've been overrided by an exterior
# one
if self.limit is None:
self.limit = {
'n': op.n,
'offset': op.offset
}

self._collect(op.table, toplevel=toplevel)

def _collect_SortBy(self, expr, toplevel=False):
Expand All @@ -482,17 +478,26 @@ def _collect_SortBy(self, expr, toplevel=False):

self._collect(op.table, toplevel=toplevel)

def _collect_Join(self, expr, toplevel=False):
def _collect_MaterializedJoin(self, expr, toplevel=False):
op = expr.op()

if isinstance(op, ops.MaterializedJoin):
expr = op.join
op = expr.op()
join = op.join
join_op = join.op()

if toplevel:
subbed = self._sub(join)
self.table_set = subbed
self.select_set = [subbed]

self._collect(join_op.left, toplevel=False)
self._collect(join_op.right, toplevel=False)

def _collect_Join(self, expr, toplevel=False):
op = expr.op()
if toplevel:
subbed = self._sub(expr)
self.table_set = subbed
self.select_set = [op.left, op.right]
self.select_set = [subbed]

self._collect(op.left, toplevel=False)
self._collect(op.right, toplevel=False)
Expand Down Expand Up @@ -786,13 +791,16 @@ def scalar_handler(results):
table_expr = _reduction_to_aggregation(expr, agg_name='tmp')
return table_expr, scalar_handler
else:
base_table = L.find_base_table(expr)
base_table = ir.find_base_table(expr)
if base_table is None:
# expr with no table refs
return expr.name('tmp'), scalar_handler
else:
raise NotImplementedError(expr._repr())

elif isinstance(expr, ir.AnalyticExpr):
return expr.to_aggregation(), as_is

elif isinstance(expr, ir.ExprList):
exprs = expr.exprs()

Expand All @@ -806,7 +814,7 @@ def scalar_handler(results):
any_aggregation = True

if is_aggregation:
table = L.find_base_table(exprs[0])
table = ir.find_base_table(exprs[0])
return table.aggregate(exprs), as_is
elif not any_aggregation:
return expr, as_is
Expand Down Expand Up @@ -844,9 +852,10 @@ def column_handler(results):

return table_expr, result_handler
else:
raise NotImplementedError
raise com.TranslationError('Do not know how to execute: {0}'
.format(type(expr)))


def _reduction_to_aggregation(expr, agg_name='tmp'):
table = L.find_base_table(expr)
table = ir.find_base_table(expr)
return table.aggregate([expr.name(agg_name)])
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