Using and Extending the Data Tools Platform. Brian Fitzpatrick (Sybase) Linda Chan (Actuate) Brian Payton (IBM)

Transcription

1 Using and Extending the Data Tools Platform Brian Fitzpatrick (Sybase) Linda Chan (Actuate) Brian Payton (IBM) 2009 by Actuate, IBM, and Sybase, Inc., made available under the EPL v1.0 March 23, 2009

2 Welcome! Goals for this tutorial: Get a working knowledge of DTP Tooling Get a glimpse into how to enable or extend database support for a particular vendor Get familiar with some DTP APIs Use ODA to extend DTP for a non-database data source See how to expand the SQL Query Model and Parser for a particular DB And finally see how DTP is being leveraged in other Eclipse projects

3 Before we begin What do you hope to get out of the talk today? What are your goals? What do you know already about DTP?

4 Beginning DTP What is the Data Tools Platform (DTP)?

5 Important Concepts in the Tooling Connection Profiles & Driver Definitions

6 Available Perspectives for DTP Database Development Database Debug

7 Basic Components Data Source Explorer (DSE) SQL Scrapbook SQL Results View

8 Creating a Database Connection in DTP In the Data Source Explorer, right-click on Database Connections and select New Specify your database type, click Next If no driver available, click the New Driver Definition button Select a driver template, set your jar paths, click OK Customize database properties, click Finish Right-click on new Connection Profile and select Connect

9 Expanding and Exploring the Connected Profile Once you connect to a profile, it starts to load the model a level at a time So you can expand and see catalogs, schemas, tables, procedures, and so on to represent what your database (and the DTP implementation for that database) supports

10 Using the SQL Scrapbook to Execute Queries Right-click on a database Connection Profile and select Open SQL Scrapbook Type your query, select it, and select Execute Selected Text

11 How to Use the SQL Query Builder from the SQL Scrapbook To create more complicated queries, you can use the SQL Query Builder (SQB), which simplifies query creation by allowing you to click, drag, and drop to customize the SQL To open the SQB, right-click and select Edit in SQL Query Builder Right-click where it says To add a table and select Add Table Select one or more tables to use in the query and click OK Then you can select columns, specify conditions, and so on

12 Executing a Query from the SQB Once you ve customized your query in the SQB, right-click in the SQL text area at the top and select Run SQL to show the results

13 Interacting with Stored Procedures and UDFs In SQL, you can define and call stored procedures in userdefined functions if your database supports them. DTP allows you to call them as well. In a Derby database, you can call the SQLTABLES procedure: call SYSIBM.SQLTABLES(null, 'APP', null, null, null);

14 Stored Procedures and UDFs continued You can also create and then use user-defined functions In a Derby database, try this: create function getsystemproperty(name varchar(128)) returns varchar(128) language java external name 'java.lang.system.getproperty' parameter style java no sql;

15 Creating Tables and Modifying Content In addition to simply running SQL, you can use DTP tools to create tables and view/modify their data In the Data Source Explorer, connect to and drill down into a database connection profile. On the Tables folder in the tree, right-click and select New Table The New Table wizard creates DDL that you can then execute to create the table.

16 Creating Tables and Modifying Content, continued Execute the table DDL by right-clicking and selecting Execute All this will run the SQL and create the table. Then right-click on the Tables node in the tree, right-click and select Refresh to repopulate the table list. Once you have a table, you can edit its content by right-clicking and selecting Data->Edit, which opens a tabular window for editing table data that you can use for data entry When you re done, right-click in the editor and select Save from the popup menu to persist your changes

17 Creating Tables and Modifying Content, continued Another way of loading data is by CSV file. To load a table from a CSV file, right-click on a table and select Data->Load Specify the input file, the delimiter, and the string delimiter, and click Finish.

18 Tooling Exercise Set up a new Derby connection profile and connect to a local database Connect to the connection profile Create a new Product table with three columns product_id (varchar), name (varchar), inventory (number) Create a new Orders table with three columns order_id (varchar), date (date/time), product_id (varchar), number_ordered (number) Import data from the Products.csv and Orders.csv files into your new tables In the SQL Scrapbook, create a query (in the text editor or the SQB) to correlate information from the Product and Orders tables to get a readable report of what products were ordered on a given date (product name, date, number ordered)

19 Extending DTP Now that you have a bit of knowledge about what DTP can do for you How do you leverage and extend it? A few possible avenues Use DTP components in your own applications and simply leverage what s already there Extend DTP into new Data Sources and Databases ( enabling new databases, adding custom items to the tree, adding custom SQL syntax to what DTP already knows, etc.) Take advantage of DTP APIs to utilize core DTP functionality under the covers

20 Enabling a New Database Rather than spend a long time on this topic, I ll direct you to a series of blog posts I wrote while I worked through enabling SQLite for DTP Enablement. Not all databases will require all of this, but it s not difficult to extend the existing frameworks Driver Framework: Custom Driver Template: Adding a Custom Catalog Loader: Creating the SQLite Connection Profile (minus UI): Creating the SQLite Connection Profile UI Bits:

21 Leveraging DTP APIs Though we have many cool tools in DTP, you may find that you don t need or want to use them. In these cases, you may still be able to take advantage of DTP APIs. There are too many APIs to really talk about in the time allowed, so I m just going to hit upon a few of the high-level ones In this section, we re going to use DTP APIs to create a connection profile and write a utility class that takes a file, loads it into memory, and loads a table from the file Consider that APIs could also be used to map/replicate data from one database to another via a combination of JDBC and DTP

22 APIs for Creating Connection Profiles There are two types of connection profiles persisted and transient.

23 Accessing Existing Connection Profiles (Persisted) Access to existing connection profiles (persisted or transient) is done using the ProfileManager class (org.eclipse.datatools.connectivity.profilemanager) If you know the name of your connection profile, you can find it pretty easily IConnectionProfile myprofile = ProfileManager.getInstance().getProfileByName( MyProfile );

24 Creating a Transient Connection Profile In the second case, where you may not want to use the whole connection profile UI framework but want to leverage other components, you use the Transient API These are the typical JDBC properties you think of String profileusername = ""; String profilepassword = ""; String profileurl = "jdbc:derby:c:\\derbydatabases\\mydb;create=true"; String profiledriverclass = "org.apache.derby.jdbc.embeddeddriver"; String profilejarlist = "C:\\Derby10.2.2\\db-derby bin\\lib\\derby.jar"; Then there s the DTP-specific properties you need String providerid = "org.eclipse.datatools.connectivity.db.derby.embedded.connectionprofile"; String vendor = "Derby"; String version = "10.1";

25 Transient Profile, continued So once you have your properties, you can do this: Properties baseproperties = new Properties(); baseproperties.setproperty( IDriverMgmtConstants.PROP_DEFN_JARLIST, jarlist ); baseproperties.setproperty(ijdbcconnectionprofileconstants.driver_class_prop_id, driverclass); baseproperties.setproperty(ijdbcconnectionprofileconstants.url_prop_id, driverurl); baseproperties.setproperty(ijdbcconnectionprofileconstants.username_prop_id, username); baseproperties.setproperty(ijdbcconnectionprofileconstants.password_prop_id, password); baseproperties.setproperty(ijdbcconnectionprofileconstants.database_vendor_prop_id, vendor); baseproperties.setproperty(ijdbcconnectionprofileconstants.database_version_prop_id, version); baseproperties.setproperty( IJDBCConnectionProfileConstants.SAVE_PASSWORD_PROP_ID, String.valueOf( true ) ); ProfileManager pm = ProfileManager.getInstance(); IConnectionProfile icp = pm.createtransientprofile(providerid, baseproperties );

26 Transient Profile, continued So the upside to the Transient profile is that you don t have to pre-define it in the UI The downside is that you have some additional properties to figure out. This is *new* API for Galileo. There are other changes to help with getting the correct vendor and version in Galileo so you can hand it a JDBC connection you managed yourself, it gets the properties it needs, and then returns the correct vendor, and version. For now, you can use the provider ID of the Generic JDBC profile (org.eclipse.datatools.connectivity.db.generic.connectionprofile)

27 Using your Connection Profile reference Now that you have an IConnectionProfile instance, what can you do with it? If it s not connected, you can connect to it: IConnectionProfile profile = ProfileManager.getInstance().getProfileByName("myprofile"); IStatus status = profile.connect(); if (status.equals(istatus.ok)) { // success } else { // failure :( if (status.getexception()!= null) { status.getexception().printstacktrace(); } } If you get an exception, you can react accordingly

28 Using your Connection Profile reference So now that you have a connected profile, you can get the JDBC connection from the ProfileConnectionManager: public java.sql.connection getjavaconnectionforprofile (IConnectionProfile profile) { IConnection connection = ProfileConnectionManager. getprofileconnectionmanagerinstance().getconnection(profile, "java.sql.connection"); if (connection!= null) { return (java.sql.connection) connection.getrawconnection(); } return null; }

29 Using the Connection From there, you can do anything you might have done with any other JDBC connection: try{ Statement st = connection.createstatement(); String statement = select * from mytable ; int val = st.executeupdate(statement); } catch (SQLException s){ // exception }

30 Other good API bits You can also get the SQL model from a database connection. First, you have to get the ConnectionInfo class, which acts as a bridge between the JDBC connection and the SQL models IManagedConnection managedconnection = ((IConnectionProfile)profile).getManagedConnection( "org.eclipse.datatools.connectivity.sqm.core.connection.connectioninfo"); if (managedconnection!= null) { try { ConnectionInfo connectioninfo = (ConnectionInfo) managedconnection.getconnection().getrawconnection(); if (connectioninfo!= null) { Database database = connectioninfo.getshareddatabase(); // do something with the database reference } } catch (Exception e) { e.printstacktrace(); } } This is how to get the SQL Model s root Database node for your connection profile

31 Using the Database reference Once you have the Database reference, you can drill into your database and get the abstracted SQL structure, which you can then use to develop more flexible SQL calls for a variety of reasons Imagine being able to connect to two databases and providing a tool that allows you to map data between disparate tables Imagine writing tooling or a set of APIs that could be used to inject data via DTP s abstracted models Imagine abstracting a data source class for a given table or set of tables that would hide SQL complexity and allow a developer to more easily add/remove/edit data via simple calls The sky s the limit!

32 API Exercise Using the base plug-in provided, in the action s run method, dive into the connection profile and print a few things to the console for the Product table in the App schema of our Derby database MyDatabase.getCatalogs() returns an EList of catalogs. Derby has a dummy Catalog object, so you ll have to get it and then go deeper ( (Catalog)MyDatabase.getCatalogs().get(0) ) MyCatalog.getSchemas() returns an EList of schemas you can iterate through until you find APP Once you find the Schema, MySchema.getTables() returns an EList of tables you can iterate through until you find Product MyTable.getColumns() returns an EList of columns And so on simply work down the hierarchy and show a list of the columns in the Product table

33 In Summary Tools + API = Flexibility DTP s tooling provides useful database and data source functionality that s also extendable and reusable in your own code And DTP s APIs allow you to go deeper than the tooling to do many cool things with JDBC, the SQL model, and your own tools/apis

34 More DTP Information Main DataTools site at Newsgroup - news://news.eclipse.org/eclipse.dtp Mailing list Wiki - Bugzilla for bug or enhancement requests Feel free to ask questions!

35 DTP Open Data Access (ODA) Framework Extend DTP for Non Relational Database Data Sources Linda Chan Actuate Corporation 2009 by Actuate, IBM, and Sybase, Inc., made available under the EPL v1.0 March 23, 2009

36 Topics What is Open Data Access 1 (ODA)? Overview ODA Framework Enabling non-rdbms data source with an ODA Data Provider Demo/Exercise: creating ODA provider plug-ins 1 Actuate patent pending

37 Open Data Access Framework Enables data access to any data source Provides an abstraction for accessing heterogeneous data sources Highly scalable data retrieval and easy end-user experience Built using familiar Eclipse extension points Extends & customizes Applications Systems Applications can provide custom data driver and query builder for accessing their data Provides proven framework BIRT s built-in ODA data connectors Commercial products ODA data connectors

38 Overview Open Data Access Architecture Design-Time Query Builder Run-Time Data Access Application Client Tools BIRT Report Designer Data Access & Query Definition Application Server ODA Design Interfaces ODA Runtime Interfaces ODA Query Builder ODA Data Driver Data Sources Complete control of of data access and branding

39 Overview Open Data Access Framework Run-time Public API defines a set of Java interfaces that allow heterogeneous data to be accessed in a generic way Design-time Allows data source-specific user interface to be embedded in any ODA-compliant consumer application ODA Consumer Helper Built-in support for any ODA-compliant consumer application to consume data from any ODA data provider

40 ODA Run-time Framework Stable run-time API since DTP 0.9 Integrates with DTP Connection Profile and JDBC Databases framework Implementation wraps data source-specific APIs Run-time plug-in implements extension points org.eclipse.datatools.connectivity.oda.datasource org.eclipse.datatools.connectivity.connectionprofile ODA run-time API interfaces org.eclipse.datatools.connectivity.oda package

41 ODA Run-time API Interfaces Defines the primary run-time operations of an ODA data provider to access and retrieve data from a data source Java interfaces JDBC-like, extended to support additional capabilities of non- RDBMS data sources Emphasis on scalable data retrieval Main run-time operations Data Source Connection IConnection Establishes a live connection to any type of data source Obtains provider capabilities for each type of data set queries Creates one or multiple concurrent data set-specific queries

42 ODA Run-time API Interfaces Main run-time operations (cont d) Data Set Query IQuery, IAdvancedQuery Prepares and executes a data set-specific query text command, e.g. XPath, MDX, SQL, Stored Procedure calls Handles one or more sets of data rows, i.e. result sets, retrieved by a single data set query Query Parameters IParameterMetaData, IParameterRowSet Provides run-time metadata of parameters specified in a prepared query Handles scalar and complex input/output parameters Result Sets IResultSet, IResultSetMetaData Fetches tabular data rows Allows sequential or concurrent access to multiple result sets

43 ODA Design-time Framework Eclipse Modeling Framework (EMF) model-based design-time interfaces communicate connection properties, query and parameter definitions to an ODA consumer application Integrates with DTP Data Source Explorer view

44 ODA Design-time Framework ODA Design Session model ODA Consumer Designer (e.g. BIRT Data Source Wizard) Customized Wizard Page contributed by ODA Data Providers

45 ODA Designer UI Plug-in Implements extension points org.eclipse.datatools.connectivity.connectionprofile org.eclipse.ui.propertypages org.eclipse.datatools.connectivity.oda.design.ui.datasource org.eclipse.datatools.connectivity.ui.connectionprofileimage (optional) customizes ODA Designer UI pages org.eclipse.datatools.connectivity.oda.design.ui.wizards package Communicates its Data Source and Data Set design definitions in an ODA Design Session model

46 ODA Design Session model Model based on Eclipse Modeling Framework (EMF) org.eclipse.datatools.connectivity.oda.design package Allows customized data source and query builders to design the slice of data to access at run-time Communicates connection information, query and parameter definitions to an ODA consumer application Transient Objects root element: org.eclipse datatools.connectivity.oda.design.odadesignsession ODA design-time consumer application, e.g. BIRT Report Designer, initiates an ODA design session Consumes a data provider s UI page contributions Adapts an edited data access design to host-specific design components Provides persistent services for editing designs

47 Build a Custom ODA Data Provider From scratch PDE New Plug-in Project Wizard Demo / Exercise Extends an existing ODA provider driverbridge extension point org.eclipse.datatools.connectivity.oda.consumer.driverbridge

48 Build a Custom ODA Data Provider from Scratch PDE New Plug-in Project Wizard Demo / Exercise

49 Extends an Existing ODA Data Provider Modify/enhance behavior of an existing ODA data provider org.eclipse.datatools.connectivity.oda.consumer.driverbridge extension point Ideal for minor enhancements preserves existing ODA extension ID Supports chained bridges

50 DriverBridge Extension Point ODA Consumer Application (e.g. BIRT) ODA Runtime Interfaces oda.consumer.helper Driver Bridge Driver Bridge bridgeid oda.datasource extension id ODA Run-time Driver drivertype driver class name or first matching interface name

51 Enhance an Existing ODA Data Provider DriverBridge extension implements Extension Point org.eclipse.datatools.connectivity.oda.consumer.driverbridge Sample driverbridge extension element <bridge drivertype="org.eclipse.birt.report.data.oda.jdbc.odajdbcdri ver" bridgeid="org.eclipse.birt.report.data.testjdbc"> </bridge> Bridge driver is handed its underlying driver instance IDriver.setAppContext( Map ) Key: OdaDriver.ODA_BRIDGED_DRIVER Value: underlying driver instance May use own API between Bridge and underlying Driver instances Sample code attached in Bugzilla

52 ODA Data Providers Out-of-the-Box ODA Data Providers CSV data file org.eclipse.datatools.connectivity.oda.flatfile* plug-ins XML data org.eclipse.datatools.enablement.oda.xml* plug-ins Web Services org.eclipse.datatools.enablement.oda.ws* plug-ins JDBC Drivers SQL Query Builder & SQL Textual Editor org.eclipse.birt.report.data.oda.jdbc* plug-ins DTP Incubation Project ECore ODA Data Provider (Bugzilla ) org.eclipse.datatools.enablement.oda.ecore* plug-ins Separate incubator download package Welcomes contribution

53 What is New in ODA DTP 1.7 Release ODA API Enhancements Java Object data type Availability of Data Set Property and Input Parameter Values prior to Query Preparation Cancel a Query Execution Connection-level Locale Setting Consumer Resource Identifiers Dynamic Query Result Specification API Experimental API Filtering Result Projection Row Ordering

54 Resources ODA Overview document link on DTP Connectivity home page Developers' Guide for Connectivity Frameworks DTP Help Contents Javadoc and Extension Points Schema Presentation slides

55 Open Data Access Framework Discussions, Feedbacks, Q&As

56 Using and Extending the Data Tools Platform SQL Query Model and Parser Brian Payton (IBM) 2009 by Actuate, IBM, and Sybase, Inc., made available under the EPL v1.0 March 23, 2009

57 Agenda Introduction and background Characteristics What is it good for? Tour of the Query Model and Parser components Query Model Query Parser Parser Factory Post-parse Processors SQL Source Writer Query Model Helpers Extending the Query Model and Parser Fun with the interactive tester

58 Introduction and background The Data Studio Query Model and Parser is a system for representing, analyzing, manipulating, and generating SQL query statements in client-side database applications. Originally created for the SQL Assist component of IBM DB2 Control Center, later used in IBM WebSphere Studio Application Developer, IBM Rational Application Developer, and IBM Data Studio Developer. Donated by IBM to the Eclipse Data Tool Platform project 2006 and used in the DTP SQL Query Builder component.

59 Characteristics Deep coverage of SQL DML statements (Query, Insert, Update, Delete) But DML only! Extensible, componentized system Extension points to register extensions for different databases Parser grammar inheritance Model is based on EMF technology Parser is based on LPG (LALR Parser Generator) technology SourceForge project, but available in Eclipse through Orbit Think of the model as an SQL AST (Abstract Syntax Tree) on steriods!

60 What is it good for? Provides underlying support for the SQL Query Builder Makes round-trip editing possible Can do SQL Syntax validation outside of the database Enables query analysis

61 Tour of the Query Model and Parser components Query Model Represent the essential structure of a query statement Query Parser Validate SQL source syntax and generate the query model Parser Factory Set of methods used by the parser to generate the model Post-parse Processors Validate semantics and modify the model after parsing SQL Source Writer Generate SQL source from the model Model Helpers Set of helpful methods to analyze or modify the model

62 Query Model Represents the essential syntactic structure of a query statement as an object model Covers DML statements SELECT, INSERT, UPDATE, DELETE Implemented using EMF (Eclipse Modeling Facility) Derived from object model diagrams created using Rational Rose Extends and complements the SQL Model SQL Model is the foundation for the Data Studio tool set SQL Model models the database catalog while the Query Model models database statements

63 Query Model - plugins org.eclipse.datatools.modelbase.sql.query Base query model org.eclipse.datatools.modelbase.sql.xml.query SQL/XML extension Depends on: org.eclipse.datatools.modelbase.sql

64 Query Model EMF Model Java code is generated directly from the Rose model using EMF (Eclipse Modeling Facility) Each Rose diagram class becomes a Java class Model classes extend EMF EObject class EMF handles details of getters, setters, collections, notifications Each Rose diagram class becomes two EMF classes: an interface class and an implementation (Impl) class Generated code can be customized, and changes won't be lost when regenerated

65 Query Parser Parses a SQL DML statement and generates an instance of the Query Model Implemented using LPG (LALR Parser Generator) from IBM Research Parser is generated from BNF-like grammar files Like the Query Model, is actually an extendable set of parsers: base SQL, SQL/XML Base SQL query grammar derived from ISO SQL 2003

66 Parser Factory Set of methods used by the parser to create a Query Model instance Each parser plug-in has a parser factory class Used in the action clauses of the LPG grammar file rules In turn the parser factory methods call model factory methods to create individual model elements Model factory code is generated by EMF, parser factory methods are hand-coded

67 Post-parse Processors Query Parser provides a mechanism to allow clients to modify a generated Query Model after the Parser Factory creates it but before it is returned as a parse result Post-parse processors are attached to the parser, register what model elements they are interested in, and after the parse get a chance to modify the model Two default post-parse processors are provided: DataTypeResolver Tries to determine datatypes of value expressions in the model using available information TableReferenceResolver Replaces place-holder table references in generated model with table objects from the SQL Model

68 SQL Source Writer Generates SQL source from a Query Model instance Together with the Query Parser, provides round-trip capability from SQL to model and back Like the model and parser, is configurable and extendable Walks the model tree and uses reflection to find the right source writer method for each model element

69 Query Model Helpers Query Model Helpers are a set of classes and methods that provide useful utility functions for the Query Model DataTypeHelper JoinHelper StatementHelper TableHelper ValueExpressionHelper Used both for analyzing and manipulating the model. Examples: Find information, such as all table references or all effective result columns Modify the model, such as remove a table and all column references for that table from a query Packaged in org.eclipse.datatools.modelbase.sql.query

70 Extending the Query Model and Parser Process: Analyze the grammar feature you want to add. Is it specific to one database type, or common to several? Modify the appropriate to add the new feature Getting this right is not easy! Modeling is hard work. Regenerate the EMF model Add Parser Factory methods for the new model elements Modify the appropriate parser grammar to cover the new syntax Update the SQL Source Writer to generate SQL for the new syntax Update the Query Model Helper classes as needed Update the JUnit tests for the parser Make sure it all works!

71 Fun with the interactive tester Along with JUnit tests, the test plugins for the Query Parsers include an interactive testing tool In org.eclipse.datatools.sqltools.parsers.sql, it's SQLQueryParserInteractiveTest A command-line tool, works with the Eclipse console view Type in a SQL statement, and it displays the generated model elements, then the SQL generated back out from the model

72 DTP Adopters Eclipse Projects Business Intelligence and Reporting Tools (BIRT) SQL Query Builder Database Enablement Connection Profile Management Open Data Access Web Tools Project (WTP) EJB or Dali JPA Tools development Other Adopters

73 Legal Notices Actuate is a registered trademark of Actuate Corporation and/or its affiliates in the U.S. and certain other countries. IBM, Rational, Rational Rose, and WebSphere are registered trademarks of International Business Machines Corporation in the United States, other countries, or both. Sybase and Adaptive Server are registered trademarks of Sybase, Inc. or its subsidiaries. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. Other company, product, or service names may be trademarks or service marks of others.