Learn what is tibco business works. Features of tibco business works and its benifits. Also know about xml activities,Parse Palette,role of EMS and benifits of EMS.
What is tibco. Look at an introduction to tibco softwareCblsolutions.com
Tibco is a business process management and business integration software. It Enables reliable and high-performance information delivery. Core products of Tibco are TIBCO BusinessWorks (EAI), TIBCO Rendezvous and TIBCO Enterprise Message Service (Messaging). TIBCO Staffware Process Suite (BPM)
Transactions and Concurrency Control PatternsJ On The Beach
Transactions and Concurrency Control Patterns by Vlad Mihalcea
Transactions and Concurrency Control are very of paramount importance when it comes to enterprise systems data integrity. However, this topic is very tough since you have to understand the inner workings of the database system, its concurrency control design choices (e.g. 2PL, MVCC), transaction isolation levels and locking schemes.
In this presentation, I’m going to explain what data anomalies can happen depending on the transaction isolation level, with references to Oracle, SQL Server, PostgreSQL, and MySQL.
I will also demonstrate that database transactions are not enough, especially for multi-request web flows. For this reason, I’m going to present multiple application-level transaction patterns based on both optimistic and pessimistic locking mechanisms.
Last, I’m going to talk about Concurrency Control strategies used in the Hibernate second-level caching mechanism, which can boost performance without compromising strong consistency.
What is tibco. Look at an introduction to tibco softwareCblsolutions.com
Tibco is a business process management and business integration software. It Enables reliable and high-performance information delivery. Core products of Tibco are TIBCO BusinessWorks (EAI), TIBCO Rendezvous and TIBCO Enterprise Message Service (Messaging). TIBCO Staffware Process Suite (BPM)
Transactions and Concurrency Control PatternsJ On The Beach
Transactions and Concurrency Control Patterns by Vlad Mihalcea
Transactions and Concurrency Control are very of paramount importance when it comes to enterprise systems data integrity. However, this topic is very tough since you have to understand the inner workings of the database system, its concurrency control design choices (e.g. 2PL, MVCC), transaction isolation levels and locking schemes.
In this presentation, I’m going to explain what data anomalies can happen depending on the transaction isolation level, with references to Oracle, SQL Server, PostgreSQL, and MySQL.
I will also demonstrate that database transactions are not enough, especially for multi-request web flows. For this reason, I’m going to present multiple application-level transaction patterns based on both optimistic and pessimistic locking mechanisms.
Last, I’m going to talk about Concurrency Control strategies used in the Hibernate second-level caching mechanism, which can boost performance without compromising strong consistency.
All Things Open 2014 - Day 2
Thursday, October 23rd, 2014
James Pearce
Head of Open Source with Facebook
Front Dev 1
An Introduction to ReactJS
Find more by James here: https://speakerdeck.com/jamesgpearce
Automate Your Kafka Cluster with Kubernetes Custom Resources confluent
(Sam Obeid, Shopify) Kafka Summit SF 2018
At Shopify we manage multiple Apache Kafka clusters in multiple locations in Google’s cloud platform. We deploy our Kafka clusters as Kubernetes StatefulSets, and we use other K8s workloads to implement different tasks. Automating critical and repetitive operational tasks is one of our top priorities.
In this talk we’ll discuss how we leveraged Kubernetes Custom Resources and Controllers to automate some of the key cluster operational tasks, to detect clusters configuration changes and react to these changes with required actions. We will go through actual examples we implemented at Shopify, how we solved the problem of cluster discovery and how we automated topics creation across different clusters with zero human intervention and safety controls.
Large Scale Lakehouse Implementation Using Structured StreamingDatabricks
Business leads, executives, analysts, and data scientists rely on up-to-date information to make business decision, adjust to the market, meet needs of their customers or run effective supply chain operations.
Come hear how Asurion used Delta, Structured Streaming, AutoLoader and SQL Analytics to improve production data latency from day-minus-one to near real time Asurion’s technical team will share battle tested tips and tricks you only get with certain scale. Asurion data lake executes 4000+ streaming jobs and hosts over 4000 tables in production Data Lake on AWS.
Stephan Ewen - Experiences running Flink at Very Large ScaleVerverica
This talk shares experiences from deploying and tuning Flink steam processing applications for very large scale. We share lessons learned from users, contributors, and our own experiments about running demanding streaming jobs at scale. The talk will explain what aspects currently render a job as particularly demanding, show how to configure and tune a large scale Flink job, and outline what the Flink community is working on to make the out-of-the-box for experience as smooth as possible. We will, for example, dive into - analyzing and tuning checkpointing - selecting and configuring state backends - understanding common bottlenecks - understanding and configuring network parameters
Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...Flink Forward
Flink Forward San Francisco 2022.
Probably everyone who has written stateful Apache Flink applications has used one of the fault-tolerant keyed state primitives ValueState, ListState, and MapState. With RocksDB, however, retrieving and updating items comes at an increased cost that you should be aware of. Sometimes, these may not be avoidable with the current API, e.g., for efficient event-time stream-sorting or streaming joins where you need to iterate one or two buffered streams in the right order. With FLIP-220, we are introducing a new state primitive: BinarySortedMultiMapState. This new form of state offers you to (a) efficiently store lists of values for a user-provided key, and (b) iterate keyed state in a well-defined sort order. Both features can be backed efficiently by RocksDB with a 2x performance improvement over the current workarounds. This talk will go into the details of the new API and its implementation, present how to use it in your application, and talk about the process of getting it into Flink.
by
Nico Kruber
Flink Forward San Francisco 2022.
The Table API is one of the most actively developed components of Flink in recent time. Inspired by databases and SQL, it encapsulates concepts many developers are familiar with. It can be used with both bounded and unbounded streams in a unified way. But from afar it can be difficult to keep track of what this API is capable of and how it relates to Flink's other APIs. In this talk, we will explore the current state of Table API. We will show how it can be used as a batch processor, a changelog processor, or a streaming ETL tool with many built-in functions and operators for deduplicating, joining, and aggregating data. By comparing it to the DataStream API we will highlight differences and elaborate on when to use which API. We will demonstrate hybrid pipelines in which both APIs interact with one another and contribute their unique strengths. Finally, we will take a look at some of the most recent additions as a first step to stateful upgrades.
by
David Andreson
What is REST API? REST API Concepts and Examples | EdurekaEdureka!
YouTube Link: https://youtu.be/rtWH70_MMHM
** Node.js Certification Training: https://www.edureka.co/nodejs-certification-training **
This Edureka PPT on 'What is REST API?' will help you understand the concept of RESTful APIs and show you the implementation of REST APIs'. Following topics are covered in this REST API tutorial for beginners:
Need for REST API
What is REST API?
Features of REST API
Principles of REST API
Methods of REST API
How to implement REST API?
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Spark
DevNexus 2022 Atlanta
https://devnexus.com/presentations/7150/
This talk is a quick overview of the How, What and WHY of Apache Pulsar, Apache Flink and Apache NiFi. I will show you how to design event-driven applications that scale the cloud native way.
This talk was done live in person at DevNexus across from the booth in room 311
Tim Spann
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar, Apache Flink, Flink SQL, Apache NiFi, MiniFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.
Learn what is Tibco EMS Server Properties and Fault Tolerant Setup. Find Introduction to EMS and it objects and Tibco EMS server properties.Have any doubts on Tibco EMS or other Tibco related topics, then follow cblsolutions blog http://cblsolutions.com/blog or contact cblsolutions.com
All Things Open 2014 - Day 2
Thursday, October 23rd, 2014
James Pearce
Head of Open Source with Facebook
Front Dev 1
An Introduction to ReactJS
Find more by James here: https://speakerdeck.com/jamesgpearce
Automate Your Kafka Cluster with Kubernetes Custom Resources confluent
(Sam Obeid, Shopify) Kafka Summit SF 2018
At Shopify we manage multiple Apache Kafka clusters in multiple locations in Google’s cloud platform. We deploy our Kafka clusters as Kubernetes StatefulSets, and we use other K8s workloads to implement different tasks. Automating critical and repetitive operational tasks is one of our top priorities.
In this talk we’ll discuss how we leveraged Kubernetes Custom Resources and Controllers to automate some of the key cluster operational tasks, to detect clusters configuration changes and react to these changes with required actions. We will go through actual examples we implemented at Shopify, how we solved the problem of cluster discovery and how we automated topics creation across different clusters with zero human intervention and safety controls.
Large Scale Lakehouse Implementation Using Structured StreamingDatabricks
Business leads, executives, analysts, and data scientists rely on up-to-date information to make business decision, adjust to the market, meet needs of their customers or run effective supply chain operations.
Come hear how Asurion used Delta, Structured Streaming, AutoLoader and SQL Analytics to improve production data latency from day-minus-one to near real time Asurion’s technical team will share battle tested tips and tricks you only get with certain scale. Asurion data lake executes 4000+ streaming jobs and hosts over 4000 tables in production Data Lake on AWS.
Stephan Ewen - Experiences running Flink at Very Large ScaleVerverica
This talk shares experiences from deploying and tuning Flink steam processing applications for very large scale. We share lessons learned from users, contributors, and our own experiments about running demanding streaming jobs at scale. The talk will explain what aspects currently render a job as particularly demanding, show how to configure and tune a large scale Flink job, and outline what the Flink community is working on to make the out-of-the-box for experience as smooth as possible. We will, for example, dive into - analyzing and tuning checkpointing - selecting and configuring state backends - understanding common bottlenecks - understanding and configuring network parameters
Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...Flink Forward
Flink Forward San Francisco 2022.
Probably everyone who has written stateful Apache Flink applications has used one of the fault-tolerant keyed state primitives ValueState, ListState, and MapState. With RocksDB, however, retrieving and updating items comes at an increased cost that you should be aware of. Sometimes, these may not be avoidable with the current API, e.g., for efficient event-time stream-sorting or streaming joins where you need to iterate one or two buffered streams in the right order. With FLIP-220, we are introducing a new state primitive: BinarySortedMultiMapState. This new form of state offers you to (a) efficiently store lists of values for a user-provided key, and (b) iterate keyed state in a well-defined sort order. Both features can be backed efficiently by RocksDB with a 2x performance improvement over the current workarounds. This talk will go into the details of the new API and its implementation, present how to use it in your application, and talk about the process of getting it into Flink.
by
Nico Kruber
Flink Forward San Francisco 2022.
The Table API is one of the most actively developed components of Flink in recent time. Inspired by databases and SQL, it encapsulates concepts many developers are familiar with. It can be used with both bounded and unbounded streams in a unified way. But from afar it can be difficult to keep track of what this API is capable of and how it relates to Flink's other APIs. In this talk, we will explore the current state of Table API. We will show how it can be used as a batch processor, a changelog processor, or a streaming ETL tool with many built-in functions and operators for deduplicating, joining, and aggregating data. By comparing it to the DataStream API we will highlight differences and elaborate on when to use which API. We will demonstrate hybrid pipelines in which both APIs interact with one another and contribute their unique strengths. Finally, we will take a look at some of the most recent additions as a first step to stateful upgrades.
by
David Andreson
What is REST API? REST API Concepts and Examples | EdurekaEdureka!
YouTube Link: https://youtu.be/rtWH70_MMHM
** Node.js Certification Training: https://www.edureka.co/nodejs-certification-training **
This Edureka PPT on 'What is REST API?' will help you understand the concept of RESTful APIs and show you the implementation of REST APIs'. Following topics are covered in this REST API tutorial for beginners:
Need for REST API
What is REST API?
Features of REST API
Principles of REST API
Methods of REST API
How to implement REST API?
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Spark
DevNexus 2022 Atlanta
https://devnexus.com/presentations/7150/
This talk is a quick overview of the How, What and WHY of Apache Pulsar, Apache Flink and Apache NiFi. I will show you how to design event-driven applications that scale the cloud native way.
This talk was done live in person at DevNexus across from the booth in room 311
Tim Spann
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar, Apache Flink, Flink SQL, Apache NiFi, MiniFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.
Learn what is Tibco EMS Server Properties and Fault Tolerant Setup. Find Introduction to EMS and it objects and Tibco EMS server properties.Have any doubts on Tibco EMS or other Tibco related topics, then follow cblsolutions blog http://cblsolutions.com/blog or contact cblsolutions.com
Learn about what is tibco designer.TIBCO Designer is the graphical user interface (GUI) for defining business processes. Look at tibco designing interface overview and about challenge of application integration, benefits of integration and Process definition.
In depth view of what is tibco EMS and learn topics like
Tibco Ems Delivery Modes
Tibco EMS Server and Administration tool
Message Models
Queues Vs Topics
Topic Publisher
Topic Subscriber
EMS Shared Connection
and find many more points on tibco EMS Server.....
Electronic Data Interchange (EDI) is the to-computer exchange of business documents in
a standard electronic format between business
partners. X12 protocol and structure of X12 protocol
In this session, we will look first at the rich metadata that documents in your repository have, how to control the mapping of this on to your content model, and some of the interesting things this can deliver. We’ll then move on to the content transformation and rendition services, and see how you can easily and powerfully generate a wide range of media from the content you already have. Finally, we’ll look at how to extend these services to support additional formats.
In this session, we will look first at the rich metadata that documents in your repository have, how to control the mapping of this on to your content model, and some of the interesting things this can deliver. We'll then move on to the content transformation and rendition services, and see how you can easily and powerfully generate a wide range of media from the content you already have.
Play Framework makes it easy to build web applications with Java & Scala. This presentation give a idea of how play is implemented using Netty, how routes work. How we get calls in controller's action. Walk through guice and logging.
Short overview of the XML-RPC protocol for XML-based RPC services.
XML-RPC is a remote procedure call protocol using XML as data format and HTTP as transport protocol.
It is a simple mechanism to call remote procedures on a machine with a different operating system.
XML-RPC is language and platform independent. XML-RPC libraries are available in Java and other languages.
XML-RPC is not more than its name implies and thus is very simple and lean. This means that it lacks most of the features that SOAP/WSDL web services provide.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
2. • TIBCO Business Works
• Role of XML and XML activities
• Parse Palette
• Role of EMS
• File Palette
• Introduction to HTTP
• HTTP Palette
• Groups and types of group actions
• Mapper Activity
• Variables
• Database concepts
• JDBC Palette
3. TIBCO Business Works
Role of XML
XML Activities
Parse Palette
Role of EMS
5. Mediates interactions between different applications and databases
Allows the automation of business processes
Manage transactions and Web Services, Handle exceptions and report errors
Provides graphical user interface to configure application services
Provides plug-ins for application connectivity
Provides interface for administrator to monitor and manage processes and application
resources
6. Reduces the amount of time and
effort to develop and deploy
business activities
In BW
In JAVA
import java.io.*;
public class Test {
public static void main(String [] args) {
String fileName = "temp.txt";
String line = null;
try {
FileReader fileReader = new FileReader(fileName);
BufferedReader bufferedReader = new BufferedReader(fileReader);
while((line = bufferedReader.readLine()) != null) {
System.out.println(line);
}
bufferedReader.close();
}
catch(FileNotFoundException ex) {
System.out.println(
"Unable to open file '" + fileName + "'");
}
catch(IOException ex) {
System.out.println(
"Error reading file '"
+ fileName + "'");
ex.printStackTrace();
}
7. Accelerates the application development and deployment cycle
Functions and data are available as re-usable services to use in complex business
processes
Improves the consistency, performance and scalability
Capable of integrating any IT resource virtually
8. Supports leading standards and protocols including HTTP/S, FTP, JDBC, TCP and JMS
Extensive Web Services capabilities and support for SOAP over JMS and HTTP/S
Enables distribution of information using technology that is best suited for scenario
Provides built-in tool for defining XML schemas, parsing and rendering capabilities
9. Designed to describe data
Software and hardware independent language for carrying information
One of the most important technologies for business integration both inside and
across enterprises
10. Parse XML:
Processes a binary XML file or XML string and turns it into an XML schema based
on the XSD specified
Render XML:
Takes an instance of an XML schema element and renders it as a stream of bytes
containing XML or an XML string
11. Transform XML:
Allows us to transform an input XML document into the output specified by the
given XSLT File shared configuration resource
XSLT File
Allows us to load an XSLT file to use to transform XML schemas using the Transform
XML activity
12. Data Format:
It contains the specification for parsing or rendering a text string using the Parse
Data and Render Data activities
Parse Data:
Takes a text string or input from a file and processes it, turning it into a schema
tree based on the specified Data Format shared configuration
13. Render Data:
Takes an instance of a data schema and renders it as a text string. The schema
processed is based on a specified Data Format shared configuration
14. Enterprise messaging allows different systems to communicate with
each other
Enterprise Message Service is the TIBCO’s implementation of Java
Message Service.
It obey the Java Message Service specifications
Some features like load-balancing, routing and fault tolerant
configurations are added to TIBCO EMS
15. Reduces the cost and complexity of integrating different systems
Increases flexibility and promotes greater service reuse
Improves the performance, scalability and reliability of distributed
system communication
17. COPYFILE:
It used for coping a file.
In input we can give the source file(fromfilename) which is to be copied.
Destination folder (tofilename) at which the copied file is pasted.
18. Create
create is used to create files and directory
Just we need to give our indented file name or directory name and location as input
19. FILEPOLLER
It is a starter activity
File poller can detect any changes in a file at
particular location at regular intervels of time.
The input to the file poller is a location of files or a
particular file.
We can also check for a specific event by select
the options
20. LISTFILES
List files is used for listing all the files and directories in a location ie.. Folder.
Input to the list files activity is the desired location.
The output of the list files contains the file name size and last modified date also.
21. READFILE
Read file is used for reading the file
The input to the file will be the file full name.
The output of the activity will be the content in the file
22. REMOVEFILE:
Remove file was used to delete the file.
It deletes the file permanently from our system we cant able to find the removed file in recycle bin.
The input to the remove file is the file name we want to remove.
23. RENAMEFILE:
Rename file is used for changing a file name.
We can also use the rename file for moving a file.
For renaming a file we have to give the existing file name and desired file name.
24. WAITFORFILECHANGE
It is a non starter process
It pause the process until the changes are made in the location which is specified
25. WRITEFILE
Write file is used for writing text content into the file
It can create non existing directories also
26. What is a Protocol
Http Introduction
Http palette
Groups in TIBCO
Types of Group Actions
27. Common set of rules and instructions that each computer follows
Hyper text transfer protocol
Application layer protocol
Works as a Request Response model
Usually works on 8080 port in association with TCP protocol and on 80 port with UDP
28. Used to communicate with web server through HTTP Palettes.
Consists of six activities ( 2 at project level, 4 at process level)
Available at Process Level
Available at Project Level
29. HTTP Connection: Describes the connection properties . Necessary if we use either HTTP receiver or
wait for HTTP request
HTTP Proxy : Useful when we want to send requests outside the firewall to a proxy server(HTTP)
HTTP Receiver : It is process starter activity which will be triggered once it gets a HTTP request.
Send HTTP Request: Asynchronous activity that sends an HTTP request and waits for a response
from the Web Server
30. Wait for HTTP Response : Waits for an incoming HTTP request in a process. The process
instance suspends until the incoming HTTP request is received.
Send HTTP Response : Sends a response to a previously received
HTTP request. Activity is used in conjunction with the HTTP receiver process starter or Wait for
HTTP Request activity. default status line returned is "200 OK".
31. Groups are used to segregate certain actions together.
Used for iterations
Used for repeating a group of activities or a single activity for a specific number of times
Ex: if we want to repeat a sub process for 10 times we will use a group action.
32. 1) Iterate
2) Repeat until true
3) Repeat on error until true
4) Transaction
5) Critical section
6) Pick first
7) While true
8) if
33. Iterate :
• Used to iterate group once for every item in the list
• Iterate can be of any number of times depending on the loop condition
Iterate action on a
groupInput Output
34. Group with a
condition defined
Repeat until true:
• Repeat the iterations until the condition is true
• Once the defined condition is true, it will come out of the loop
• Condition is true then exit
Input
Execute and repeat
Loop
Fail
Exit Loop
True
35. Repeat on error until true:
• Used to iterate a group when an error occurs
• If there is no error it is executed only once
• Example would be a password for account
Group with repeat
on error for n times
Input
No Error
Execute and exit
Keep repeating for N times and
exit
Error
36. Critical Section :
• Synchronize process instances so that only one process instance executes the grouped activities
• Other process keeps waiting until the process instance that is currently executing critical section
completes
Group with critical
section
Process 1
Process 2
Process 1 executes group first
Process 2 keeps waiting until the other is
completed and then executes group
37. While True:
• Repeat as long as the defined condition evaluates as true
• If the condition evaluates as false exit the group
Group
Evaluate condition
first
Input
Execute and repeat
True
Fail
Exit without execution
38.
39. The Mapper is a synchronous activity that adds a new process
variable to the process.
This variable can be an inline schema, primitive element, or a
complex element.
The Mapper activity adds a new process variable to the process
definition.
40. Mapper activity is used to convert one XML structue into another
XML structure.
It can be used to write your logics.
You can find Mapper Activity in General Activities.
41. We can always give the input schema structure in the Output Editor
of Start activity.
42. The output schema structure can be specified in the Input Editor of
the Mapper Activity.
43. When an activity is first dragged from a palette to the design panel, the activity’s input
elements are displayed as hints. These hints show you the data the activity expects as
input. Each element can be required or optional or repeating. Required elements must have
a mapping or formula specified.
44. You map data by selecting an item in the Process Data panel, then
drag and drop that item into the desired schema element you wish
to map in the Activity Input panel.
45. When you perform mapping, simple mappings appear in the formula area next to the input
element after you release the mouse button. For more complex mappings, the Mapping
Wizard dialog allows you to select which kind of mapping you wish to perform.
46. Most options in the Mapping Wizard dialog are straightforward.
However, there are some complex scenarios that require multiple
steps.
47. You can specify XPath formulas to transform an element if you need to perform more
complex processing.
The XPath Formula Builder allows you to easily create XPath formulas.
49. There are some statements that are used to convert a hint into a
statement without performing any mapping. They are as follows:
Surround With If
Surround With For Each
Surround With For Each Group
Surround With Choice
50. When you select an element in the Activity Input schema and right-
click, a popup menu appears. The Statement menu item contains
several sub-items that are useful shortcuts for creating statements.
51. Surround with If:
An if statement is used to surround other statements in an XSLT template
to perform conditional processing.
If the test attribute evaluates to true, the statements in the if are output,
otherwise they are not output.
52. Surround with For-Each:
A shortcut for moving the current element into a For-Each statement
performs the specified statements once for each item in the selected
node.
This is useful if you wish to process each item of a repeating element once.
53. Surround with For-Each-Group:
A shortcut for moving the current element into a For-Each-Group statement and adding a
Group-By grouping statement.
Groups the items in a list by a specified element. This statement requires a Grouping statement
to specify which element to group-by.
You may need to convert a flat list of items into a more structured list. For example, you may
have list of all orders that have been completed. You may want to organize that list so that you
can group the orders placed by each customer.
This scenario typically occurs when you retrieve records from a relational database and the
records must be structured differently.
54. Surround with Choice:
A shortcut for adding a choice statement and its associated conditions or
otherwise statements around the currently selected element.
55. There are four types of variables available in TIBCO BW. They
are
Global Variables
Process Variables
Shared Variables
Job shared Variables
56. Global variables are the static variables and they can be set
during the run time.
TIBCO Global variables allow you to specify constants that can
be used throughout the project.
Advantages:
1) Easy Reuse of variables in multiple places in the project
2) Easy to change global variables value in TIBCO
Administrator.
57. Process variables are data structures available to the activities
in the process.
Scope of the Process variable is with-in the process in which
it has been declared.
Assign Activity is used for assigning values to the process
variables
58. Shared variables allow you to specify data for use across multiple process instances.
Scope of the shared variable is it can be used in the entire project.
Get Shared Variable and Set Shared variable activities are used for retrieving and
setting the data for a shared variable.
59. A Job Shared Variable resource is similar to a Shared Variable, but
its scope is limited to the current job.
A copy of the variable is created for every instance
It is used for passing data to and from sub-processes .
Get Shared Variable and Set Shared variable activities are used
for retrieving and setting the data for a shared variable.
60. A database is an organized collection of data so that we can access
the data easily.
It stores the data in the form of files. It can store data in the form of
tables, but there will be no relation between the tables. So, we go for
Relational Data Base management systems.
61. SQL stands for Structured Query Language. SQL is the standard
language for relational database management systems.
SQL Commands:
Create
Select
Insert
Update
Delete
Drop
62.
63. Activity Action
JDBC Query Performs the specified SQL SELECT
statement
JDBC Update Performs the specified SQL INSERT,
UPDATE, or DELETE statement.
SQL Direct Executes an SQL statement that you supply
JDBC Call Procedure calls a database procedure or function using
the specified JDBC connection.