Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Get Back in Control of your SQL
SQL and J...
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Intro SQL and Java jOOQ Examples
Our visi...
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Me – @lu...
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Legal
TH...
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SQL and ...
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SQL and ...
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JDBC
Pre...
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JDBC – t...
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JDBC – t...
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What JDB...
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EJB 2.0 ...
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EJB 2.0 ...
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Hibernat...
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Hibernat...
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JPA and ...
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EJB 3.0 ...
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EJB 3.0 ...
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JPA 3.0 ...
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What JPA...
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… when d...
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Note, we...
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NoSQL?
…...
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Seen at ...
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SELECT
t.*,
t.current_balance - NVL(
SUM(...
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WITH ordered_with_balance (
account_id, v...
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SELECT account_id, value_date, amount, ba...
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Stockhol...
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Winston ...
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SQL is s...
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The same...
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What jOO...
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Examples
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DSL.using(c)
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Get Back in Control of your SQL with jOOQ - GeekOut by ZeroTurnaround

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SQL is a powerful and highly expressive language for queries against relational databases. SQL is established, standardised and hardly challenged by alternative querying languages. Nonetheless, in the Java ecosystem, there had been few relevant steps forward since JDBC to better integrate SQL into Java. All attention was given to object-relational mapping and language abstractions on a higher level, such as OQL, HQL, JPQL, CriteriaQuery. In the meantime, these abstractions have become almost as complex as SQL itself, regardless of the headaches they’re giving to DBAs who can no longer patch the generated SQL.
jOOQ is a dual-licensed Open Source product filling this gap. It implements SQL itself as an internal domain-specific language in Java, allowing for the typesafe construction and execution of SQL statements of arbitrary complexity. This includes nested selects, derived tables, joins, semi-joins, anti-joins, self-joins, aliasing, as well as many vendor-specific extensions such as stored procedures, arrays, user-defined types, recursive SQL, grouping sets, pivot tables, window functions and many other OLAP features. jOOQ also includes a source code generator allowing you to compile queries in modern IDEs such as Eclipse very efficiently.
jOOQ is a good choice in a Java application where SQL and the specific relational database are important. It is an alternative when JPA / Hibernate abstract too much, JDBC too little. It shows, how a modern domain-specific language can greatly increase developer productivity, internalising SQL into Java.

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Get Back in Control of your SQL with jOOQ - GeekOut by ZeroTurnaround

  1. 1. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Get Back in Control of your SQL SQL and Java could work together so much better if we only let them.
  2. 2. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Our vision at Data Geekery - SQL dominates database systems - SQL is very expressive - SQL is very type safe SQL is a device whose mystery is only exceeded by its power!
  3. 3. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Me – @lukaseder Java developers can get back in control of SQL with jOOQ - Head of R&D at Data Geekery GmbH - SQL Aficionado - Java Aficionado
  4. 4. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Legal THE FOLLOWING IS COMMUNICATED TO YOU SOLELY FOR ENTERTAINMENT PURPOSES. NO ONE SANE WOULD BELIEVE A GUY WHO CLAIMS HE IS A SQL AFICIONADO OR WORSE WHO CLAIMS THAT SQL IS ANYTHING NEAR BEAUTIFUL. IF YOU STILL FIND THE FOLLOWING INTERESTING AND IF YOU BASE YOUR PURCHASING DECISIONS UPON THAT, YOU DEFINITELY NEED PROFESSIONAL HELP. WE ACTUALLY PROVIDE SUCH HELP.
  5. 5. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL and Java – in theory Java SQL In this metaphor, electricity is the data (SQL) that flows into your appliance / application (Java) one jack one plug
  6. 6. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL and Java – in practice Java SQL Images from: http://en.wikipedia.org/wiki/AC_power_plugs_and_sockets. License: public domain one jack lots of plugs
  7. 7. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JDBC PreparedStatement stmt = connection.prepareStatement( "SELECT text FROM products WHERE cust_id = ? AND value < ?"); stmt.setInt(1, custID); stmt.setBigDecimal(2, BigDecimal.ZERO); ResultSet rs = stmt.executeQuery(); while (rs.next()) { System.out.println(rs.getString("TEXT")); }
  8. 8. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JDBC – the naked truth 01: PreparedStatement stmt = connection.prepareStatement( 02: "SELECT p.text txt" + 03: (isAccount ? ", NVL(a.type, ?) " : "") + 04: "FROM products p " + 05: (isAccount ? " INNER JOIN accounts a USING (prod_id) " : "") + 06: " WHERE p.cust_id = ? AND p.value < ?" + 07: (isAccount ? " AND a.type LIKE '%" + type + "%'" : ""); 08: stmt.setInt(1, defaultType); 09: stmt.setInt(2, custID); 10: stmt.setBigDecimal(3, BigDecimal.ZERO); 11: ResultSet rs = stmt.executeQuery(); 12: 13: while (rs.next()) { 14: Clob clob = rs.getClob("TEXT"); 15: System.out.println(clob.getSubString(1, (int) clob.length()); 16: } 17: 18: rs.close(); 19: stmt.close();
  9. 9. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JDBC – the naked truth 01: PreparedStatement stmt = connection.prepareStatement( // 02: "SELECT p.text txt" + // 03: (isAccount ? ", NVL(a.type, ?) " : "") + // 04: "FROM products p " + // Syntax error when isAccount == false 05: (isAccount ? " INNER JOIN accounts a USING (prod_id) " : "") + // 06: " WHERE p.cust_id = ? AND p.value < ?" + // 07: (isAccount ? " AND a.type LIKE '%" + type + "%'" : ""); // Syntax error and SQL injection possible 08: stmt.setInt(1, defaultType); // Wrong bind index 09: stmt.setInt(2, custID); // 10: stmt.setBigDecimal(3, BigDecimal.ZERO); // 11: ResultSet rs = stmt.executeQuery(); // 12: 13: while (rs.next()) { // 14: Clob clob = rs.getClob("TEXT"); // Wrong column name 15: System.out.println(clob.getSubString(1, (int) clob.length()); // ojdbc6: clob.free() should be called 16: } // 17: 18: rs.close(); // close() not really in finally block 19: stmt.close(); //
  10. 10. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples What JDBC means for developers Images from Flickr. To the left by: Matthew Straubmuller, Greg Grossmeier. License: CC BY SA 2.0. Electric Engineers to the right copyright by Marco Sarli, all rights reserved. With JDBC, your developers have to do a lot of manual, error-prone (dangerous) and inefficient work
  11. 11. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples EJB 2.0 EntityBeans public interface CustomerRequest extends EJBObject { BigInteger getId(); String getText(); void setText(String text); @Override void remove(); } public interface CustomerRequestHome extends EJBHome { CustomerRequest create(BigInteger id); CustomerRequest find(BigInteger id); }
  12. 12. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples EJB 2.0 – the naked truth <weblogic-enterprise-bean> <ejb-name>com.example.CustomerRequestHome</ejb-name> <entity-descriptor> <pool> <max-beans-in-free-pool>100</max-beans-in-free-pool> </pool> <entity-cache> <max-beans-in-cache>500</max-beans-in-cache> <idle-timeout-seconds>10</idle-timeout-seconds> <concurrency-strategy>Database</concurrency-strategy> </entity-cache> <persistence> <delay-updates-until-end-of-tx>True</delay-updates-until-end-of-tx> </persistence> <entity-clustering> <home-is-clusterable>False</home-is-clusterable> <home-load-algorithm>round-robin</home-load-algorithm> </entity-clustering> </entity-descriptor> <transaction-descriptor/> <enable-call-by-reference>True</enable-call-by-reference> <jndi-name>com.example.CustomerRequestHome</jndi-name> </weblogic-enterprise-bean>
  13. 13. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Hibernate – ORM Session session = sessionFactory.openSession(); session.beginTransaction(); session.save(new Event("Conference", new Date()); session.save(new Event("After Party", new Date()); List result = session.createQuery("from Event").list(); for (Event event : (List<Event>) result) { System.out.println("Event : " + event.getTitle()); } session.getTransaction().commit(); session.close();
  14. 14. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Hibernate – «navigation» List result = session.createQuery("from Event").list(); for (Event event : (List<Event>) result) { System.out.println("Participants of " + event); for (Person person : event.getParticipants()) { Company company = person.getCompany(); System.out.println(person + " (" + company + ")"); } }
  15. 15. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Hibernate – the naked truth <hibernate-mapping package="org.hibernate.tutorial.hbm"> <class name="Event" table="EVENTS"> <id name="id" column="EVENT_ID"> <generator class="increment"/> </id> <property name="date" type="timestamp" column="EVENT_DATE"/> <property name="title"/> <set name="participants" inverse="true"> <key column="eventId"/> <one-to-many entity-name="Person"/> </set> </class> </hibernate-mapping>
  16. 16. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JPA and EJB 3.0 EntityManager em = factory.createEntityManager(); em.getTransaction().begin(); em.persist(new Event("Conference", new Date()); em.persist(new Event("After Party", new Date()); List result = em.createQuery("from Event").getResultList(); for (Event event : (List<Event>) result) { System.out.println("Event : " + event.getTitle()); } em.getTransaction().commit(); em.close();
  17. 17. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples EJB 3.0 – the naked truth @Entity @Table(name = "EVENTS") public class Event { private Long id; private String title; private Date date; @Id @GeneratedValue(generator = "increment") @GenericGenerator(name = "increment", strategy = "increment") public Long getId() { /* … */ } @Temporal(TemporalType.TIMESTAMP) @Column(name = "EVENT_DATE") public Date getDate() { /* … */ }
  18. 18. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples EJB 3.0 – Annotatiomania™ @OneToMany(mappedBy = "destCustomerId") @ManyToMany @Fetch(FetchMode.SUBSELECT) @JoinTable( name = "customer_dealer_map", joinColumns = { @JoinColumn(name = "customer_id", referencedColumnName = "id") }, inverseJoinColumns = { @JoinColumn(name = "dealer_id", referencedColumnName = "id") } ) private Collection dealers; Found at http://stackoverflow.com/q/17491912/521799
  19. 19. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JPA 3.0 Preview – Annotatiomania™ @OneToMany @OneToManyMore @AnyOne @AnyBody @ManyToMany @Many @Fetch @FetchMany @FetchWithDiscriminator(name = "no_name") @JoinTable(joinColumns = { @JoinColumn(name = "customer_id", referencedColumnName = "id") }) @PrefetchJoinWithDiscriminator @IfJoiningAvoidHashJoins @ButUseHashJoinsWhenMoreThan(records = 1000) @XmlDataTransformable @SpringPrefechAdapter private Collection employees; Might not be true
  20. 20. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples What JPA means for developers… Images from Wikimedia. License: public domain. High voltage power lines by Simon Koopmann. License: CC-BY SA 3.0 With JPA, your developers use a huge framework with lots of complexity that can get hard to manage
  21. 21. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples … when developers actually wanted this Java SQL one jack one plug
  22. 22. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Note, we’re talking about SQL. Not Persistence…
  23. 23. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? … … so, should we maybe abandon SQL?
  24. 24. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Seen at the O’Reilly Strata Conf: History of NoSQL by Mark Madsen. Picture published by Edd Dumbill NoSQL? No, SQL!
  25. 25. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL for Big Data? - You’re giving up on ACID - You’re giving up on type safety - You’re giving up on standards - You’re giving up on tooling - You’re giving up on relational algebra - You haven’t asked operations - You don’t actually have «Big Data»
  26. 26. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL for Big Data? - You’re giving up on ACID - You’re giving up on type safety - You’re giving up on standards - You’re giving up on tooling - You’re giving up on relational algebra - You haven’t asked operations - You don’t actually have «Big Data»
  27. 27. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | |------|------------|--------| | 9997 | 2014-03-18 | 99.17 | | 9981 | 2014-03-16 | 71.44 | | 9979 | 2014-03-16 | -94.60 | | 9977 | 2014-03-16 | -6.96 | | 9971 | 2014-03-15 | -65.95 |
  28. 28. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | 71.44 | 19886.64 | | 9979 | 2014-03-16 | -94.60 | 19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  29. 29. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | +99.17 =19985.81 | | 9981 | 2014-03-16 | 71.44 | +19886.64 | | 9979 | 2014-03-16 | -94.60 | 19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  30. 30. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | +71.44 =19886.64 | | 9979 | 2014-03-16 | -94.60 | +19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  31. 31. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | +71.44 =19886.64 | n | 9979 | 2014-03-16 | -94.60 | +19815.20 | n+1 | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |BALANCE(ROWn) = BALANCE(ROWn+1) + AMOUNT(ROWn) BALANCE(ROWn+1) = BALANCE(ROWn) – AMOUNT(ROWn)
  32. 32. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 SELECT t.*, t.current_balance - NVL( SUM(t.amount) OVER ( PARTITION BY t.account_id ORDER BY t.value_date DESC, t.id DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING ), 0) AS balance FROM v_transactions t WHERE t.account_id = 1 ORDER BY t.value_date DESC, t.id DESC
  33. 33. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 WITH ordered_with_balance ( account_id, value_date, amount, balance, transaction_number ) AS ( SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance, t1.transaction_number FROM v_transactions_by_time t1 WHERE t1.transaction_number = 1 UNION ALL SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount, t1.transaction_number FROM ordered_with_balance t2 JOIN v_transactions_by_time t1 ON t1.transaction_number = t2.transaction_number + 1 AND t1.account_id = t2.account_id ) SELECT * FROM ordered_with_balance WHERE account_id = 1 ORDER BY transaction_number ASC
  34. 34. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 SELECT account_id, value_date, amount, balance FROM ( SELECT id, account_id, value_date, amount, current_balance AS balance FROM v_transactions ) t WHERE account_id = 1 MODEL PARTITION BY (account_id) DIMENSION BY ( ROW_NUMBER() OVER (ORDER BY value_date DESC, id DESC) AS rn ) MEASURES (value_date, amount, balance) RULES ( balance[rn > 1] = balance[cv(rn) - 1] - amount[cv(rn) - 1] ) ORDER BY rn ASC
  35. 35. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Stockholm Syndrome: We love JavaScript SQL
  36. 36. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Winston Churchill: SQL is the worst form of database querying, except for all the other forms.
  37. 37. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL is so much more | TEXT | VOTES | RANK | PERCENT | |-------------|-------|------------|---------| | Hibernate | 1383 | 1 | 32 % | | jOOQ | 1029 | 2 | 23 % | | EclipseLink | 881 | 3 | 20 % | | JDBC | 533 | 4 | 12 % | | Spring JDBC | 451 | 5 | 10 % | Data may not be accurate…
  38. 38. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL is so much more SELECT p.text, p.votes, DENSE_RANK() OVER (ORDER BY p.votes DESC) AS "rank", LPAD( (p.votes * 100 / SUM(p.votes) OVER ()) || ' %', 4, ' ' ) AS "percent" FROM poll_options p WHERE p.poll_id = 12 ORDER BY p.votes DESC
  39. 39. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples The same with jOOQ select (p.TEXT, p.VOTES, denseRank().over().orderBy(p.VOTES.desc()).as("rank"), lpad( p.VOTES.mul(100).div(sum(p.VOTES).over()).concat(" %"), 4, " " ).as("percent")) .from (POLL_OPTIONS.as("p")) .where (p.POLL_ID.eq(12)) .orderBy(p.VOTES.desc());
  40. 40. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples The same with jOOQ in Scala (!) select (p.TEXT, p.VOTES, denseRank() over() orderBy(p.VOTES desc) as "rank", lpad( (p.VOTES * 100) / (sum(p.VOTES) over()) || " %", 4, " " ) as "percent") from (POLL_OPTIONS as "p") where (p.POLL_ID === 12) orderBy (p.VOTES desc)
  41. 41. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples What jOOQ means for developers Java SQL one jack all plugs jOOQ one adaptor With jOOQ, Java plugs into SQL intuitively, letting your developers focus on business-logic again. Images from Wikimedia. License: public domain. Travel converter by Cephira. License: CC-BY SA 3.0
  42. 42. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Examples
  43. 43. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples People always ask me Why jOOQ ? … true story, they do ask me that
  44. 44. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Don’t forget: Java 8 is the future! functional and declarative data transformation
  45. 45. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 DSL.using(c) .select(COLUMNS.TABLE_NAME, COLUMNS.COLUMN_NAME, COLUMNS.TYPE_NAME) .from(COLUMNS) .orderBy(COLUMNS.TABLE_CATALOG, COLUMNS.TABLE_SCHEMA, COLUMNS.TABLE_NAME, COLUMNS.ORDINAL_POSITION) .fetch() // jOOQ ends here .stream() // Streams start here .collect(groupingBy( r -> r.getValue(COLUMNS.TABLE_NAME), LinkedHashMap::new, mapping( r -> new Column(r.getValue(COLUMNS.COLUMN_NAME), r.getValue(COLUMNS.TYPE_NAME)), toList() ) )) .forEach( (table, columns) -> { System.out.println( "CREATE TABLE " + table + " ("); System.out.println( columns.stream() .map(col -> " " + col.name + " " + col.type) .collect(Collectors.joining(",n")) ); System.out.println(");"); } );
  46. 46. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 DSL.using(c) .select(COLUMNS.TABLE_NAME, COLUMNS.COLUMN_NAME, COLUMNS.TYPE_NAME) .from(COLUMNS) .orderBy(COLUMNS.TABLE_CATALOG, COLUMNS.TABLE_SCHEMA, COLUMNS.TABLE_NAME, COLUMNS.ORDINAL_POSITION) .fetch() // jOOQ ends here .stream() // Streams start here .collect(groupingBy( r -> r.getValue(COLUMNS.TABLE_NAME), LinkedHashMap::new, mapping( r -> new Column(r.getValue(COLUMNS.COLUMN_NAME), r.getValue(COLUMNS.TYPE_NAME)), toList() ) )) .forEach( (table, columns) -> { System.out.println( "CREATE TABLE " + table + " ("); System.out.println( columns.stream() .map(col -> " " + col.name + " " + col.type) .collect(Collectors.joining(",n")) ); System.out.println(");"); } );
  47. 47. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 DSL.using(c) .select(COLUMNS.TABLE_NAME, COLUMNS.COLUMN_NAME, COLUMNS.TYPE_NAME) .from(COLUMNS) .orderBy(COLUMNS.TABLE_CATALOG, COLUMNS.TABLE_SCHEMA, COLUMNS.TABLE_NAME, COLUMNS.ORDINAL_POSITION) .fetch() // jOOQ ends here .stream() // Streams start here .collect(groupingBy( r -> r.getValue(COLUMNS.TABLE_NAME), LinkedHashMap::new, mapping( r -> new Column(r.getValue(COLUMNS.COLUMN_NAME), r.getValue(COLUMNS.TYPE_NAME)), toList() ) )) .forEach( (table, columns) -> { System.out.println( "CREATE TABLE " + table + " ("); System.out.println( columns.stream() .map(col -> " " + col.name + " " + col.type) .collect(Collectors.joining(",n")) ); System.out.println(");"); } );
  48. 48. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 CREATE TABLE CATALOGS( CATALOG_NAME VARCHAR ); CREATE TABLE COLLATIONS( NAME VARCHAR, KEY VARCHAR ); CREATE TABLE COLUMNS( TABLE_CATALOG VARCHAR, TABLE_SCHEMA VARCHAR, TABLE_NAME VARCHAR, COLUMN_NAME VARCHAR, ORDINAL_POSITION INTEGER, COLUMN_DEFAULT VARCHAR, IS_NULLABLE VARCHAR, ...
  49. 49. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples People always ask me Awesome! Why jOOQ ?
  50. 50. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Database first
  51. 51. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Type safe JDBC
  52. 52. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Code Generation
  53. 53. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Active Records
  54. 54. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say SQL AST Transformation
  55. 55. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say SQL Standardisation
  56. 56. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Stored Procedures
  57. 57. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Performance!
  58. 58. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples «jOOQ» 10% discount code And I say Markus Winand from Use-The-Index-Luke.com ROI of 83’800% (time AND money) Achieve proper indexing and performance in popular RDBMS
  59. 59. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And I say Java + SQL = jOOQ
  60. 60. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Get jOOQ Now! Play around with jOOQ now! • Free and Open Source for Open Source databases More free Java / SQL knowledge on: • Blog: http://blog.jooq.org • Twitter: @JavaOOQ
  61. 61. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples That’s it folks

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