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# pypi.streamsx.eventstore | ||
This is a step in allowing natural use of Streams for a Python developer. A project that will be registered with PyPi to allow 'pip install' of Python packages that support Python developers interacting with IBM Streams. | ||
# Python streamsx.eventstore package | ||
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This exposes SPL operators in the `com.ibm.streamsx.eventstore` toolkit as Python methods. | ||
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Package is organized using standard packaging to upload to PyPi. | ||
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The package is uploaded to PyPi in the standard way: | ||
``` | ||
cd package | ||
python setup.py sdist bdist_wheel upload -r pypi | ||
``` | ||
Note: This is done using the `ibmstreams` account at pypi.org and requires `.pypirc` file containing the credentials in your home directory. | ||
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Package details: https://pypi.python.org/pypi/streamsx.eventstore | ||
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Documentation is using Sphinx and can be built locally using: | ||
``` | ||
cd package/docs | ||
make html | ||
``` | ||
and viewed using | ||
``` | ||
firefox package/docs/build/html/index.html | ||
``` | ||
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The documentation is also setup at `readthedocs.io`. | ||
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Documentation links: | ||
* http://streamsxeventstore.readthedocs.io | ||
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## Version update | ||
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To change the version information of the Python package, edit following files: | ||
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- ./package/docs/source/conf.py | ||
- ./package/streamsx/eventstore/\_\_init\_\_.py | ||
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When the development status changes, edit the *classifiers* in | ||
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- ./package/setup.py | ||
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When the documented sample must be changed, change it here: | ||
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- ./package/streamsx/eventstore/\_\_init\_\_.py | ||
- ./package/DESC.txt | ||
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## Test | ||
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Package can be tested with TopologyTester using a Streams instance and Db2 Event Store database. | ||
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``` | ||
cd package | ||
python3 -u -m unittest streamsx.eventstore.tests.test_eventstore.TestDistributed | ||
``` |
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Overview | ||
======== | ||
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Provides a function to insert IBM Streams tuple data into a table in IBM Db2 Event Store. | ||
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IBM Db2 Event Store is an in-memory database designed to rapidly ingest and analyze streamed data in event-driven applications. It provides the fabric for fast data with its ability to process massive volume of events in real-time, coupled with optimization for streamed data performance for advanced analytics and actionable insights. | ||
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This package exposes the `com.ibm.streamsx.eventstore` toolkit as Python methods. | ||
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* `IBM Streaming Analytics <https://www.ibm.com/cloud/streaming-analytics>`_ | ||
* `IBM Db2 Event Store <https://www.ibm.com/products/db2-event-store>`_ | ||
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Sample | ||
====== | ||
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A simple example of a Streams application inserting rows to | ||
a table in a Db2 Event Store database:: | ||
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from streamsx.topology.topology import Topology | ||
from streamsx.topology.schema import CommonSchema, StreamSchema | ||
from streamsx.topology.context import submit | ||
from streamsx.topology.context import ContextTypes | ||
import streamsx.spl.toolkit | ||
import streamsx.eventstore as es | ||
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topo = Topology('EventStoreSample') | ||
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# add event store toolkit corresponding to your Event Store installation (developer/enterprise edition) and version | ||
streamsx.spl.toolkit.add_toolkit(topo, 'PATH_TO_STREAMSX_EVENTSTORE_TOOLKIT_LOCATION') | ||
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# provide connection endpoint information | ||
es_connection = 'HostIP:Port' | ||
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# generate sample tuples with the schema of the target table | ||
s = topo.source([1,2,3,4,5,6,7,8,9]) | ||
schema=StreamSchema('tuple<int32 id, rstring name>').as_tuple() | ||
s = s.map(lambda x : (x,'X'+str(x*2)), schema=schema) | ||
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# insert tuple data into table as rows | ||
res = es.insert(s, connection=es_connection, database='TESTDB', table='SampleTable', primary_key='id') | ||
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submit (ContextTypes.DISTRIBUTED, topo) | ||
# The Streams job is kept running. | ||
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Documentation | ||
============= | ||
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* `streamsx.eventstore package documentation <http://streamsxeventstore.readthedocs.io>`_ |
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