Reputation: 181
I've got an application that allows the user to select certain keywords, the app then listens for tweets containing those keywords and stores them in a DB.
For a given user, they have a list of keywords. What I'm trying to do is get some statistics on how each keyword is performing on a given day, month, etc, by counting how many tweets with that keyword happened on a given day/month.
public class Person extends Model {
@id
long id;
@ManyToMany
List<Keywords> keywords = new ArrayList();
}
public class Keyword extends Model {
@Id
int id;
String keyword;
@ManyToMany
public List<Tweet> tweets = new ArrayList();
}
public class Tweet extends Model {
@Id
int id;
TimeStamp datetime;
}
I think the best way to do it would be Tweet.find --where keyword=kw and date > d-- but I do not know how to do this. Should I be using fetch? Here's a similar query in plain SQL below.
select datetime, count(*) from tweet t left outer join keyword_tweet on t.id=keyword_tweet.tweet_id group by cast(t.datetime as date) having t.datetime > '2014-02-02';
+---------------------+----------+
| datetime | count(*) |
+---------------------+----------+
| 2014-02-02 13:27:45 | 1 |
| 2014-02-08 05:14:04 | 2 |
| 2014-02-09 08:34:31 | 1 |
| 2014-02-12 12:42:02 | 1 |
| 2014-02-13 06:00:09 | 2 |
| 2014-02-14 00:47:04 | 2 |
| 2014-02-15 07:26:30 | 6 |
| 2014-02-16 01:00:00 | 21 |
| 2014-02-17 00:06:50 | 916 |
| 2014-02-18 18:08:56 | 1 |
| 2014-02-19 01:28:40 | 1 |
| 2014-02-24 16:45:11 | 1 |
| 2014-02-26 14:43:54 | 4 |
| 2014-02-27 08:24:09 | 9 |
| 2014-02-28 05:08:16 | 411 |
+---------------------+----------+
So, select from tweet where (tweet id is in user keyword list)
I'd also like to group by:
cast(t.datetime as date)
and having
date > 2014-02-02 //example date
on certain queries. Thanks for any help guys!!
Upvotes: 0
Views: 216
Reputation: 2465
This may not be exactly what you're looking for, but maybe it'll get you started. There's ways to do joins, or using a Query in the Tweet.find.where() below, instead of using the List of keywords from a Person, that may be easier. There some joins in the git hub examples, but they're a bit old
package models.test;
import play.db.ebean.Model;
import javax.persistence.*;
import java.util.ArrayList;
import java.util.List;
/**
* Created by aakture on 3/7/14.
*/
@Entity
public class Person extends Model {
@Id
long id;
@OneToMany(cascade = CascadeType.ALL)
List<Keyword> keywords = new ArrayList();
public long getId() {
return id;
}
public void setId(long id) {
this.id = id;
}
public List<Keyword> getKeywords() {
return keywords;
}
public void setKeywords(List<Keyword> keywords) {
this.keywords = keywords;
}
public static Finder<Integer, Person> find = new Finder<Integer, Person>(
Integer.class, Person.class);
}
package models.test;
import play.db.ebean.Model;
import javax.persistence.Entity;
import javax.persistence.Id;
@Entity
public class Keyword extends Model {
@Id
Integer id;
String text;
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public String getText() {
return text;
}
public void setText(String text) {
this.text = text;
}
public static Finder<Integer, Keyword> find = new Finder<Integer, Keyword>(
Integer.class, Keyword.class);
}
package models.test;
import play.db.ebean.Model;
import javax.persistence.*;
import java.sql.Date;
@Entity
public class Tweet extends Model {
@Id
Integer id;
Date datetime;
@OneToOne
Keyword keyword;
public void setId(Integer id) {
this.id = id;
}
public Keyword getKeyword() {
return keyword;
}
public void setKeyword(Keyword keyword) {
this.keyword = keyword;
}
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public Date getDatetime() {
return datetime;
}
public void setDatetime(Date datetime) {
this.datetime = datetime;
}
public static Finder<Integer, Tweet> find = new Finder<Integer, Tweet>(
Integer.class, Tweet.class);
}
@Test
public void testTweets() {
List<Keyword> keywordList = new ArrayList<Keyword>();
Keyword keyword = new Keyword();
keyword.setText("hello");
keywordList.add(keyword);
keyword = new Keyword();
keyword.setText("world");
keywordList.add(keyword);
Person person = new Person();
person.setKeywords(keywordList);
person.save();
keyword = Keyword.find.where().eq("text", "hello").findUnique();
log.info("keywords " + keyword);
java.sql.Date now = new java.sql.Date(new Date().getTime());
for(int i = 0; i < 10; i++) {
Tweet tweet = new Tweet();
tweet.setKeyword(keyword);
tweet.setDatetime(now);
tweet.save();
}
log.info("now is " + now.getTime());
Calendar cal = Calendar.getInstance();
cal.add(Calendar.DAY_OF_YEAR, -7);
java.sql.Date oneHourAgo = new java.sql.Date(cal.getTimeInMillis());
log.info("oneHourAgo is " + oneHourAgo.getTime());
List<Keyword> personsKeywords = person.getKeywords();
List<String> keyWordsStringList = new ArrayList<String>();
for(Keyword kw : keywordList) {
keyWordsStringList.add(kw.getText());
}
List<Tweet> tweets = Tweet.find.where().and(Expr.in("keyword.text", keyWordsStringList), Expr.gt("datetime", oneHourAgo)).findList();
log.info("tweets has " + tweets.size());
}
Upvotes: 1