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»Spring 3« ist da. Vieles ist geblieben, manches verschwunden, manches neu. Spring 3 verspricht eine verbesserte und dynamischere Konfiguration, einen leistungsfähigen und mächtigen REST-Support und viele kleine Verbesserungen. Parallel zu dem Spring 3-Release wurden auch andere Tools und Projekte aktualisiert, auf die wir ebenfalls einen Blick werfen wollen:
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A commercial open source project in Pythonjbrendel
The document discusses developing a commercial open source project with Python. It describes the SnapLogic project, which is an open source data integration framework started in 2005. It outlines some opportunities and challenges of using Python for an open source project, including lower costs from broader adoption, lack of experience with open source, ensuring contributions, and risks from third party packages. The presentation provides solutions to address these challenges, such as clarifying open source policies, using libraries judiciously, and employing thorough testing.
The document summarizes 50 new features of Java EE 7 presented by Arun Gupta in 50 minutes. It provides short descriptions and code examples for features in specifications like CDI, Bean Validation, Interceptors, Concurrency Utilities, JPA, JTA, EJB, JMS and others. The features include things like default enabling of CDI, method validation in Bean Validation, interceptors for constructors, managed executors for concurrency, schema generation in JPA, transaction scoping in CDI and JTA, disabling passivation of stateful sessions in EJB, and a simplified JMSContext API.
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Techniques for Composing REST services - SOA Symposium 2009Cesare Pautasso
1. The document discusses techniques for composing RESTful web services, as current standards like WS-BPEL were designed for process-based composition and cannot natively compose REST APIs.
2. It introduces the problem of composing RESTful services and compares it to web mashups, covering examples of how composition languages can be evolved to support REST.
3. The document argues that the uniform interface and hyperlinking capabilities of REST provide an excellent way to expose the state of a business process as a controlled resource that can be reused and composed.
The document discusses RESTful service composition using JOpera. It describes how JOpera allows for lightweight access to service compositions published with a RESTful API. JOpera represents processes as resources and exposes their execution state through hyperlinks. This allows composing existing RESTful services like the Doodle API to build an application like DoodleMap, which combines polls and maps to coordinate meeting locations.
The document discusses composing RESTful web services using business process modeling languages. It proposes extending BPEL to include RESTful primitives like GET, POST, PUT, DELETE to allow composing REST APIs. Another approach presented is to model workflows as resources that can be manipulated via REST. The document concludes that business process languages should support composing both RESTful and WS-* services to improve service-oriented architecture and workflow flexibility.
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* Wichtige Änderungen
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* Spring MVC und Rest
* Embedded Database
* SpringSource Toolsuite
* Spring Roo
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The document discusses developing a commercial open source project with Python. It describes the SnapLogic project, which is an open source data integration framework started in 2005. It outlines some opportunities and challenges of using Python for an open source project, including lower costs from broader adoption, lack of experience with open source, ensuring contributions, and risks from third party packages. The presentation provides solutions to address these challenges, such as clarifying open source policies, using libraries judiciously, and employing thorough testing.
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- It promotes using open protocols like REST and HTTP for tool integration instead of tight coupling, and outlines guidelines for using URIs, HTTP, and semantic standards like RDF and SPARQL to represent and share resource data on the web.
- OSLC is presented as a solution for lifecycle integration across requirements management, quality management, change management and other tools using common resource definitions and linked data over open APIs.
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My talk for SPEC Research Group DevOps (https://research.spec.org/devopswg) about BenchFlow. Discover BenchFlow: https://github.com/benchflow
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1. Data Integration with Server Side Mashups
Juergen Brendel
Principal Software Engineer
OSDC 2007, Brisbane
2. Agenda
The SnapLogic project
•
• Client-side mashups
• Problems and solutions
• Data integration with SnapLogic
Data Integration with Server Side Mashups Slide 2
OSDC 2007, Brisbane
3. The SnapLogic project
• Founded 2005, data integration background
• Vision:
– Reusable data integration resources
– REST
– Web-based GUI
– Programmatic interface
– Open Source
• Python... Why not?
• www.snaplogic.com
Data Integration with Server Side Mashups Slide 3
OSDC 2007, Brisbane
4. What's a mashup?
• A 'Web 2.0 kind of thing'
• Combine, aggregate, visualise
– Multiple sources
– Multiple dimensions
• Typically on the client side
– Browser
– Ajax
Data Integration with Server Side Mashups Slide 4
OSDC 2007, Brisbane
5. Self-made mashups
• Hand coded
• Mashup editors
– GUI mashup-logic editor
– Wiki-style
– Hosted
Data Integration with Server Side Mashups Slide 5
OSDC 2007, Brisbane
6. Benefits for the enterprise?
nal
Enable knowledge
io
uat ns !
Sit
workers !!!
atio
c
ppli
a
Avoi
d th
IT b
ottle e
neck
!!
Yeah, right...
Data Integration with Server Side Mashups Slide 6
OSDC 2007, Brisbane
7. Problems with client-side mashups
Skill
•
• Internal data often not web-friendly
• Maintenance
• Security
Performance
•
Data Integration with Server Side Mashups Slide 7
OSDC 2007, Brisbane
8. Solution: Server-side mashups
• Flexible access
• Security
• Performance
Data Integration with Server Side Mashups Slide 8
OSDC 2007, Brisbane
9. SnapLogic data integration philosophy
Clearly defined, REST resources
•
• Data reuse and integration
• Pipelines
• Framework for resource specific scripting
Open source and community
•
Data Integration with Server Side Mashups Slide 9
OSDC 2007, Brisbane
10. Example: Resources
HTTP://server1.example.com/customer_list
Databases
SnapLogic Server
Files
Client HTTP
HTTP
Request and
Component
Applications
Response
Atom / RSS
Resource
JSON Definition
• Resource Name
• HTTP://server1.example.com/customer_list
• SQL Query or filename
• Credentials
• Parameters
Data Integration with Server Side Mashups Slide 10
OSDC 2007, Brisbane
11. Example: Pipelines
HTTP://server1.example.com/processed_customer_list
Databases
SnapLogic Server
Files
Client HTTP
HTTP
Request and
Component Component Component
Applications
Response
Atom / RSS
Resource Resource Resource
JSON Definition Definition Definition
Read Geocode Sort
Data Integration with Server Side Mashups Slide 11
OSDC 2007, Brisbane
12. A simple pipeline: Filtering leads
Data Integration with Server Side Mashups Slide 12
OSDC 2007, Brisbane
13. Linking fields in a pipeline
Data Integration with Server Side Mashups Slide 13
OSDC 2007, Brisbane
14. Reusing a pipeline as a resource
Data Integration with Server Side Mashups Slide 14
OSDC 2007, Brisbane
15. Reusing a pipeline as a resource
Data Integration with Server Side Mashups Slide 15
OSDC 2007, Brisbane
16. Reusing a pipeline as a resource
Data Integration with Server Side Mashups Slide 16
OSDC 2007, Brisbane
17. Adding new components
For access logic
•
• For data transformations
• Independent of data format
• Currently written in Python
Data Integration with Server Side Mashups Slide 17
OSDC 2007, Brisbane
18. A simple processing component
1: class IncreaseSalary(DataComponent):
2:
3: def init(self):
4: '''Called when the component is started.'''
5: self.increase = float(self.moduleProperties['percent_increase'])
6:
7: def processRecord(self, record):
8: '''Called for every record.'''
9: record.fields['salary'] *= (1 + self.increase/100)
10: self.writeRecord(record)
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OSDC 2007, Brisbane
19. An Apache log file reader
1: class LogReader(DataComponent):
2:
3: def startReading(self):
4: '''Called when component does not have input stream.'''
5: logfile = open(self._filename, 'rbU')
6: format = self.moduleProperties['log_format']
7:
8: if format == 'COMMON':
9: p = apachelog.parser(apachelog.formats['common'])
10: elif ...
11:
12: # Read all lines in the logfile
13: for line in logile:
14: out_rec = Record(self.getSingleOutputView())
15: raw_rec = p.parse(line)
16: out_rec.fields['remote_host'] = raw_rec['%h']
17: out_rec.fields['client_id'] = raw_rec['%l']
18: out_rec.fields['user'] = raw_rec['%u']
19: out_rec.fields['server_status'] = int(raw_rec['%>s'])
20: out_rec.fields['bytes'] = int(raw_rec['%b'])
21: ...
22:
23: self.writeRecord(out_rec)
Data Integration with Server Side Mashups Slide 19
OSDC 2007, Brisbane
20. Programmatic access
• GUI is nice, but still limiting
• SnapScript: An API library
• Python, PHP, more to come
Data Integration with Server Side Mashups Slide 20
OSDC 2007, Brisbane
21. Creating a resource
1: # Create a new resource
2: staff_res_def = Resource(component='SnapLogic.Components.CsvRead')
3: staff_res_def.props.URI = '/SnapLogic/Resources/Staff'
4: staff_res_def.props.description = 'Read the from the employee file'
5: staff_res_def.props.title = 'Staff'
6: staff_res_def.props.delimiter = '$?{DELIMITER}'
7: staff_res_def.props.filename = '$?{INPUTFILE}'
8: staff_res_def.props.parameters = (
9: ('INPUTFILE', Param.Required, ''),
10: ('DELIMITER', Param.Optional, ',')
11: )
12:
13: # Define the output view of the resource
14: staff_res_def.props.outputview.output1 = (
15: ('Last_Name', 'string', 'Employee last name'),
16: ('First_Name', 'string', 'Employee first Name'),
17: ('Salary', 'number', 'Annual income')
18: )
Data Integration with Server Side Mashups Slide 21
OSDC 2007, Brisbane
22. Creating a pipeline
1: # Create a new pipeline
2: p = Pipeline()
3: p.props.URI = '/SnapLogic/Pipelines/empl_salary_inc'
4: p.props.title = 'Employee_Salary_Increase'
5:
6: # Select the resources in the pipeline
7: p.resources.Staff = staff_res_def.instance()
8: p.resources.PayRaise = increase_salary_res_def.instance()
9:
10: # Link the resources in the pipeline
11: link = (
12: ('Last_Name', 'last'),
13: ('First_Name', 'first'),
14: ('Salary', 'salary')
15: )
16: p.linkViews('Staff', 'output1', 'Salary_Increaser', 'input1', link)
Data Integration with Server Side Mashups Slide 22
OSDC 2007, Brisbane
23. Pipeline parameters
1: # Define the user-visible parameters of the pipeline
2: p.props.parameters = (
3: ('INCREASE', Param.Required, ''),
4: )
5:
6: # Map values to the parameters of the pipeline's resources
7: p.props.parammap = (
8: (Param.Parameter, 'INCREASE', 'PayRaise', 'PERC_INCREASE'),
9: (Param.Constant, 'file://foo/staff.csv', 'Staff', 'INPUTFILE')
10: )
11:
12: # Confirm correctness and publish as a new resource
13: p.check()
14: p.saveToServer(connection)
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OSDC 2007, Brisbane
24. The end
Any questions?
jbrendel@snaplogic.org
Data Integration with Server Side Mashups Slide 24
OSDC 2007, Brisbane