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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.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
Me – @lukaseder
SQL is a device whose mystery
is only exceeded by its power!
- Founder and CEO at Data Geekery
- SQL Aficionado
- Java Aficionado
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
SQL – a corporate thing
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.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
So, let’s talk about
SQL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
SQL is Powerful!
My Reaction when I
forget the WHERE
clause on my DELETE
statement…
With autocommit
active
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
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
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"));
}
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();
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(); //
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
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);
}
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>
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
<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-…>
</persistence>
o_O
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
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();
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() { /* … */ }
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 – Yep, annotations!
@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
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™
@SeveralAndThenNothing @MaybeThisDoesSomething
@TweakThisWithThat(
tweak = {
@TweakID(name = "id", preferredValue = 1839),
@TweakID(name = "test", preferredValue = 839),
@TweakID(name = "test.old", preferredValue = 34),
},
inCaseOf = {
@ConditionalXMLFiltering(run = 5),
}
)
@OneToMany @OneToManyMore @AnyOne @AnyBody @DoesThisEvenMeanAnything @DoesAnyoneEvenReadThis
@ManyToMany @Many @AnnotationsTotallyRock @DeclarativeProgrammingRules @NoMoreExplicitAlgorithms
@Fetch @FetchMany @FetchWithDiscriminator(name = "no_name")
@JoinTable(joinColumns = {
@JoinColumn(name = "customer_id", referencedColumnName = "id")
})
@PrefetchJoinWithDiscriminator @JustTrollingYouKnow @LOL
@IfJoiningAvoidHashJoins @ButUseHashJoinsWhenMoreThan(records = 1000)
@XmlDataTransformable @SpringPrefechAdapter
private Collection employees;
Might not be true
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
JPA 4.0 Preview
var employees;
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
More information here
www.annotatiomania.com
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
What’s next?
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
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
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…
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…
FYI: Gavin King: Creator of Hibernate!
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?
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? Who said it?
Our service ran at 99.99 percent
uptime in the first quarter of 2009,
runs more than 200 million
transactions a day, and has subsecond
response time; and we are constantly
making advances to deliver it even
faster.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? Marc Benioff – salesforce.com
Our service ran at 99.99 percent
uptime in the first quarter of 2009,
runs more than 200 million
transactions a day, and has subsecond
response time; and we are constantly
making advances to deliver it even
faster.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? Marc Benioff – salesforce.com
He’s talking about
salesforce.com’s
Oracle database.
He “invented” the
cloud
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? Who said it?
• 300 TB of data files for production
DBs in total
• LHC logging database ~140TB,
expected growth up to ~70 TB /
year
• 13 Production experiments'
database ~120 TB in total
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? Collecting LHC data with Oracle Exadata
• 300 TB of data files for production
DBs in total
• LHC logging database ~140TB,
expected growth up to ~70 TB /
year
• 13 Production experiments'
database ~120 TB in total
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»
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»
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!
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
NoSQL? No, SQL!
So, let’s talk about
SQL
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 |
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 |
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 |
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 |
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)
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
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
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
)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
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
)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
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
)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
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
)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
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
)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
| 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 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
Don’t you think that’s beautiful?
Stockholm Syndrome:
We love COBOL SQL
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.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
More SQL Calculations
| TEXT | VOTES | RANK | PERCENT |
|-------------|-------|------------|---------|
| jOOQ | 1383 | 1 | 32 % |
| Hibernate | 1029 | 2 | 23 % |
| EclipseLink | 881 | 3 | 20 % |
| JDBC | 533 | 4 | 12 % |
| Spring JDBC | 451 | 5 | 10 % |
Data may not be accurate…
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
More SQL Calculations
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
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());
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)
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
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
Images from Wikimedia. License: public domain. Travel converter by Cephira. License: CC-BY SA 3.0
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
Examples
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
Marc Benioff from salesforce
All companies
benefit when they
can afford to focus
on innovation
rather than
infrastructure
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
A vision of a better SQL application
- Database first
- Performance
- Type safe JDBC
- Code Generation
- Active Records
- Stored Procedures
- SQL Transformation
- SQL Standardisation
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 a shameless book recommendation
Markus Winand from
Use-The-Index-Luke.com
ROI north of 83’174%
Achieve proper indexing and
performance in popular RDBMS
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
Intro SQL and Java jOOQ Examples
And a shameless tool recommendation
Open source databases:
- Free / Apache license
Commercial databases:
- Commercial license
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
More free Java / SQL knowledge on:
• Blog: http://blog.jooq.org
• Twitter: @JavaOOQ / @lukaseder
• Newsletter: http://www.jooq.org

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The vJUG talk about jOOQ: Get Back in Control of Your SQL

  • 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. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Me – @lukaseder SQL is a device whose mystery is only exceeded by its power! - Founder and CEO at Data Geekery - SQL Aficionado - Java Aficionado
  • 3. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL – a corporate thing 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.
  • 4. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples So, let’s talk about SQL
  • 5. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples SQL is Powerful! My Reaction when I forget the WHERE clause on my DELETE statement… With autocommit active
  • 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 theory Java SQL In this metaphor, electricity is the data (SQL) that flows into your appliance / application (Java) one jack one plug
  • 7. 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
  • 8. 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")); }
  • 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 " + 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();
  • 10. 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(); //
  • 11. 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
  • 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 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); }
  • 13. 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>
  • 14. 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 <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-…> </persistence> o_O
  • 15. 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
  • 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. 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. 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 – Yep, annotations! @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. 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™ @SeveralAndThenNothing @MaybeThisDoesSomething @TweakThisWithThat( tweak = { @TweakID(name = "id", preferredValue = 1839), @TweakID(name = "test", preferredValue = 839), @TweakID(name = "test.old", preferredValue = 34), }, inCaseOf = { @ConditionalXMLFiltering(run = 5), } ) @OneToMany @OneToManyMore @AnyOne @AnyBody @DoesThisEvenMeanAnything @DoesAnyoneEvenReadThis @ManyToMany @Many @AnnotationsTotallyRock @DeclarativeProgrammingRules @NoMoreExplicitAlgorithms @Fetch @FetchMany @FetchWithDiscriminator(name = "no_name") @JoinTable(joinColumns = { @JoinColumn(name = "customer_id", referencedColumnName = "id") }) @PrefetchJoinWithDiscriminator @JustTrollingYouKnow @LOL @IfJoiningAvoidHashJoins @ButUseHashJoinsWhenMoreThan(records = 1000) @XmlDataTransformable @SpringPrefechAdapter private Collection employees; Might not be true
  • 20. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples JPA 4.0 Preview var employees;
  • 21. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples More information here www.annotatiomania.com
  • 22. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples What’s next?
  • 23. 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
  • 24. 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
  • 25. 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…
  • 26. 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… FYI: Gavin King: Creator of Hibernate!
  • 27. 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?
  • 28. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? Who said it? Our service ran at 99.99 percent uptime in the first quarter of 2009, runs more than 200 million transactions a day, and has subsecond response time; and we are constantly making advances to deliver it even faster.
  • 29. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? Marc Benioff – salesforce.com Our service ran at 99.99 percent uptime in the first quarter of 2009, runs more than 200 million transactions a day, and has subsecond response time; and we are constantly making advances to deliver it even faster.
  • 30. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? Marc Benioff – salesforce.com He’s talking about salesforce.com’s Oracle database. He “invented” the cloud
  • 31. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? Who said it? • 300 TB of data files for production DBs in total • LHC logging database ~140TB, expected growth up to ~70 TB / year • 13 Production experiments' database ~120 TB in total
  • 32. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? Collecting LHC data with Oracle Exadata • 300 TB of data files for production DBs in total • LHC logging database ~140TB, expected growth up to ~70 TB / year • 13 Production experiments' database ~120 TB in total
  • 33. 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»
  • 34. 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»
  • 35. 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!
  • 36. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples NoSQL? No, SQL! So, let’s talk about SQL
  • 37. 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 |
  • 38. 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 |
  • 39. 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 |
  • 40. 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 |
  • 41. 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)
  • 42. 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
  • 43. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 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 )
  • 44. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 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 )
  • 45. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 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 )
  • 46. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 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 )
  • 47. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 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 )
  • 48. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples | 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 |
  • 49. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Don’t you think that’s beautiful? Stockholm Syndrome: We love COBOL SQL
  • 50. 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.
  • 51. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples More SQL Calculations | TEXT | VOTES | RANK | PERCENT | |-------------|-------|------------|---------| | jOOQ | 1383 | 1 | 32 % | | Hibernate | 1029 | 2 | 23 % | | EclipseLink | 881 | 3 | 20 % | | JDBC | 533 | 4 | 12 % | | Spring JDBC | 451 | 5 | 10 % | Data may not be accurate…
  • 52. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples More SQL Calculations 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
  • 53. 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());
  • 54. 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)
  • 55. 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
  • 56. 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 Images from Wikimedia. License: public domain. Travel converter by Cephira. License: CC-BY SA 3.0
  • 57. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Examples
  • 58. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples Marc Benioff from salesforce All companies benefit when they can afford to focus on innovation rather than infrastructure
  • 59. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples A vision of a better SQL application - Database first - Performance - Type safe JDBC - Code Generation - Active Records - Stored Procedures - SQL Transformation - SQL Standardisation
  • 60. 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 a shameless book recommendation Markus Winand from Use-The-Index-Luke.com ROI north of 83’174% Achieve proper indexing and performance in popular RDBMS
  • 61. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 Intro SQL and Java jOOQ Examples And a shameless tool recommendation Open source databases: - Free / Apache license Commercial databases: - Commercial license
  • 62. 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 More free Java / SQL knowledge on: • Blog: http://blog.jooq.org • Twitter: @JavaOOQ / @lukaseder • Newsletter: http://www.jooq.org