Accessing Helsinki region statistics from your webapp

In this post I'd like to describe how the statistical data from the Semantic.hfi.fi service can be accessed from your web application via the demo app Areastats. Semantic.hri.fi offers several JSON/P web services which can directly be used from any website.

Areastats displays statistics when accessed from within the Finnish capital region. It uses internally the

  • HTML 5 Geolocation API to obtain the access location as WGS 85 coordinates,
  • a simple webservice to convert the coordinates into a code for the area the location resides in,
  • the Semantic.hri.fi Faceted Search API to access statistics for this area and
  • the jQuery API for DOM manipulation and Ajax

The geo-location-js API is used as an adapter for the incompatible Geolocation APIs used in various browsers. It provides a convenient access point to register callbacks for action when the location could be obtained and when not:

if (geo_position_js.init()) {
    geo_position_js.getCurrentPosition(geo_success, geo_error);

The geo_success callback then retrieves the area code from a web service via Ajax and uses the fetch_stats function to process the result:

function geo_success(p) {
    url: "polygon", 
    data: { "latitude": p.coords.latitude, "longitude": p.coords.longitude}, 
    dataType: "json", 
    success: fetch_stats,
    error: geo_error

The fetch_stats then makes an Ajax call to obtain the results:

function fetch_stats(d) {
  var alue = "alue:_" + d.KUNTA + "_" + d.PIEN + "_" + d.Nimi;
    url: "http://semantic.hri.fi/search",
    data: { 
      "include": ["items"], "limit":50, "offset":0, 
      "value": [
        "dataset:A025_HKI_Vakiluku1962"] },
    dataType: "jsonp",
    success: fetch_stats_success,
    error: fetch_stats_error

The query defines that we are interested in statistical items from the year 2010, with the unit persons (Henkilöä) and from the dataset dataset:A025_HKI_Vakiluku1962. For details on how to use the service of Semantic.hri.fi, please read the embedded documentation.

The fetch_stats_success callback then has the final results and draws a pie chart based on them:

function fetch_stats_success(d) {
  var age_index = -1;
  for (var i = 0; i < d.headers.length; i++) {
    if (d.headers[i] == "dimension:Ikäryhmä") {
      age_index = i;

  for (var i = 0; i < d.items.length; i++) {
    var key = d.items[i].values[age_index];
    key = key.substring(9);


The fetch_stats_success function iterates the headers of the result to find the index of the column we are interested in and the iterates over the result items and maps the column data into the DOM of the local HTML document. After that the drawpie function is invoked and the stats can be shown.

This demo is related to the Helsinki Region Infoshare project, which aims to provide data of the Finnish capital region in Linked Open Data form.

Feel free to contact us if you need more info on the demo or the Semantic.hri.fi services.


Querydsl in the wild

From time to time we observe how the Querydsl framework is used outside of Mysema to find out how Querydsl meets the needs of our user base. In this blog post I'd like to share some Querydsl usage patterns we found.

Expression factory class

As an alternative to Expression construction based on the core primitives reocurring constraints can be bundled as factory methods grouped by the used root types.

This example shows Expression factory methods for the User domain type

package org.springframework.data.jpa.example.repository;

import org.joda.time.LocalDate;
import org.springframework.data.jpa.example.domain.QUser;

import com.mysema.query.types.expr.BooleanExpression;

class UserExpressions {

    public static BooleanExpression goldMember() {
        return adult().and(createdAtleastOneYearAgo());
    public static BooleanExpression adult() {
        return QUser.user.age.goe(18);
    public static BooleanExpression createdAtleastOneYearAgo() {
        return QUser.user.creationDate.loe(new LocalDate().minusYears(1));
    public static BooleanExpression differentFrontThanLastName() {
        return QUser.user.firstname.eq(QUser.user.lastname).not();
    public static BooleanExpression usernameLongerThanSix() {
        return QUser.user.username.length().gt(6);

Source: GitHub

$ as variable name for default entity path

In cases where Querydsl is used in combination with the Repository pattern it can be convenient to use a general variable name for the default entity path to be used. The dollar-sign is a valid candidate for this:

package reevent.dao;

import com.mysema.query.jpa.JPQLQuery;
import org.springframework.stereotype.Repository;
import org.springframework.transaction.annotation.Transactional;
import reevent.domain.QUser;
import reevent.domain.User;

public class UserDaoJpa extends EntityDaoBase<User> implements UserDao {
    private static final QUser $ = QUser.user;

    public User findByUsername(String username) {
        return queryByUsername(username).uniqueResult($);

    public boolean usernameExists(String username) {
        return queryByUsername(username).exists();

    private JPQLQuery queryByUsername(String username) {
        return query().from($).where($.username.eq(username));

Source: GitHub

Drawbacks with this approach are that some code inspection tools might complain about the unconventional variable name usage and that the dollar-sign is also used by the Querydsl Alias-functionality.

Hamcrest integration

Querydsl expressions can also be used for other tasks beside querying. A fine example is Hamcrest integration:

package org.hamcrest;

import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.PathMatcher.valueOf;
import static org.junit.Assert.assertThat;

import org.hamcrest.domain.Address;
import org.hamcrest.domain.Customer;
import org.hamcrest.domain.QCustomer;
import org.junit.Test;

public class PathMatcherTest {

    public void testPathEvaluate() {
        Customer customer = new Customer();
        Address address = new Address();
        address.setStreet("blaway 142");

            equalTo("blaway 142")));

Hamcrest matchers can be used in unit tests for complex assertion construction.

Jeroen van Schagen, the author of the Hamcrest example has bundled his Querydsl extensions into the querydsl-support module.

Supplying filter criteria to general find methods

This pattern is extensively used in the Spring Data repositories. Here is a simple example:

QCustomer customer = QCustomer.customer;
LocalDate today = new LocalDate();
BooleanExpression customerHasBirthday = customer.birthday.eq(today);
BooleanExpression isLongTermCustomer = 

Advanced Spring Data JPA – Specifications and Querydsl

If you have innovative Querydsl usage yourself, please share it with us!