IBM Streams Event Store integration
Project description
Overview
Provides a function to insert IBM Streams tuple data into a table in IBM Db2 Event Store.
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.
This package exposes the com.ibm.streamsx.eventstore toolkit as Python methods.
Supported versions:
Db2 Event Store 1.x: streamsx.eventstore version 1.x
Db2 Event Store 2.x: streamsx.eventstore version 2.x
Sample
A simple example of a Streams application inserting rows to a table in a Db2 Event Store database:
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 topo = Topology('EventStoreSample') # provide connection endpoint information es_connection = 'HostIP:Port1;HostIP:Port2' # 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) # insert tuple data into table as rows res = es.insert(s, connection=es_connection, database='TESTDB', table='SampleTable', primary_key='id', partitioning_key='id') submit (ContextTypes.DISTRIBUTED, topo) # The Streams job is kept running.
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