Slow Flask-SQLAlchemy query using association tables

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I have two models in Flask-SQLAlchemy (Post and Comment) that have many-to-many relationship that is manifested in the third model (post_mentions):



post_mentions = db.Table(
'post_mentions',
db.Column('post_id', db.Integer, db.ForeignKey('posts.id'), primary_key=True),
db.Column('comment_id', db.Integer, db.ForeignKey('comments.id'), primary_key=True),
)

class Post(db.Model):
__tablename__ = 'posts'

id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String, unique=True, nullable=False)
mentions = db.relationship('Comment', secondary=post_mentions, lazy='dynamic')

def __eq__(self, other):
return self.name.lower() == other.name.lower()

def __hash__(self):
return hash(self.name.lower())


class Comment(db.Model):
__tablename__ = 'comments'

id = db.Column(db.Integer, primary_key=True)
text = db.Column(db.Text, nullable=False)
created_at = db.Column(db.Integer, nullable=False)


There is also a /posts endpoint that triggers the following query:



# flask and other imports

@app.route('/posts')
def posts():
page_num = request.args.get('page', 1)
posts = models.Post.query.join(models.post_mentions)
.group_by(models.post_mentions.columns.post_id)
.order_by(func.count(models.post_mentions.columns.post_id).desc())
.paginate(page=int(page_num), per_page=25)
return render_template('posts.html', posts=posts)


There are more than 14k+ posts and 32k+ comments stored in SQLite database. As you can see from the snippet above, when someone hits /posts endpoint, SQLAlchemy loads all data at once to the memory and then subsequent queries (e.g. retrieving posts, comments to that posts, etc..) take sub-millisecond time, since data is being served from the memory without hitting the database. Initial load takes 10s+ on my laptop, which is, to put it mildly, suboptimal.



So the question is: Considering that users won't view 97+% of posts, how can I both order posts by number of mentions in comments and load them on demand instead of doing it in one swoop?







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    up vote
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    down vote

    favorite












    I have two models in Flask-SQLAlchemy (Post and Comment) that have many-to-many relationship that is manifested in the third model (post_mentions):



    post_mentions = db.Table(
    'post_mentions',
    db.Column('post_id', db.Integer, db.ForeignKey('posts.id'), primary_key=True),
    db.Column('comment_id', db.Integer, db.ForeignKey('comments.id'), primary_key=True),
    )

    class Post(db.Model):
    __tablename__ = 'posts'

    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String, unique=True, nullable=False)
    mentions = db.relationship('Comment', secondary=post_mentions, lazy='dynamic')

    def __eq__(self, other):
    return self.name.lower() == other.name.lower()

    def __hash__(self):
    return hash(self.name.lower())


    class Comment(db.Model):
    __tablename__ = 'comments'

    id = db.Column(db.Integer, primary_key=True)
    text = db.Column(db.Text, nullable=False)
    created_at = db.Column(db.Integer, nullable=False)


    There is also a /posts endpoint that triggers the following query:



    # flask and other imports

    @app.route('/posts')
    def posts():
    page_num = request.args.get('page', 1)
    posts = models.Post.query.join(models.post_mentions)
    .group_by(models.post_mentions.columns.post_id)
    .order_by(func.count(models.post_mentions.columns.post_id).desc())
    .paginate(page=int(page_num), per_page=25)
    return render_template('posts.html', posts=posts)


    There are more than 14k+ posts and 32k+ comments stored in SQLite database. As you can see from the snippet above, when someone hits /posts endpoint, SQLAlchemy loads all data at once to the memory and then subsequent queries (e.g. retrieving posts, comments to that posts, etc..) take sub-millisecond time, since data is being served from the memory without hitting the database. Initial load takes 10s+ on my laptop, which is, to put it mildly, suboptimal.



    So the question is: Considering that users won't view 97+% of posts, how can I both order posts by number of mentions in comments and load them on demand instead of doing it in one swoop?







    share|improve this question












    bumped to the homepage by Community♦ yesterday


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
















      up vote
      3
      down vote

      favorite









      up vote
      3
      down vote

      favorite











      I have two models in Flask-SQLAlchemy (Post and Comment) that have many-to-many relationship that is manifested in the third model (post_mentions):



      post_mentions = db.Table(
      'post_mentions',
      db.Column('post_id', db.Integer, db.ForeignKey('posts.id'), primary_key=True),
      db.Column('comment_id', db.Integer, db.ForeignKey('comments.id'), primary_key=True),
      )

      class Post(db.Model):
      __tablename__ = 'posts'

      id = db.Column(db.Integer, primary_key=True)
      name = db.Column(db.String, unique=True, nullable=False)
      mentions = db.relationship('Comment', secondary=post_mentions, lazy='dynamic')

      def __eq__(self, other):
      return self.name.lower() == other.name.lower()

      def __hash__(self):
      return hash(self.name.lower())


      class Comment(db.Model):
      __tablename__ = 'comments'

      id = db.Column(db.Integer, primary_key=True)
      text = db.Column(db.Text, nullable=False)
      created_at = db.Column(db.Integer, nullable=False)


      There is also a /posts endpoint that triggers the following query:



      # flask and other imports

      @app.route('/posts')
      def posts():
      page_num = request.args.get('page', 1)
      posts = models.Post.query.join(models.post_mentions)
      .group_by(models.post_mentions.columns.post_id)
      .order_by(func.count(models.post_mentions.columns.post_id).desc())
      .paginate(page=int(page_num), per_page=25)
      return render_template('posts.html', posts=posts)


      There are more than 14k+ posts and 32k+ comments stored in SQLite database. As you can see from the snippet above, when someone hits /posts endpoint, SQLAlchemy loads all data at once to the memory and then subsequent queries (e.g. retrieving posts, comments to that posts, etc..) take sub-millisecond time, since data is being served from the memory without hitting the database. Initial load takes 10s+ on my laptop, which is, to put it mildly, suboptimal.



      So the question is: Considering that users won't view 97+% of posts, how can I both order posts by number of mentions in comments and load them on demand instead of doing it in one swoop?







      share|improve this question











      I have two models in Flask-SQLAlchemy (Post and Comment) that have many-to-many relationship that is manifested in the third model (post_mentions):



      post_mentions = db.Table(
      'post_mentions',
      db.Column('post_id', db.Integer, db.ForeignKey('posts.id'), primary_key=True),
      db.Column('comment_id', db.Integer, db.ForeignKey('comments.id'), primary_key=True),
      )

      class Post(db.Model):
      __tablename__ = 'posts'

      id = db.Column(db.Integer, primary_key=True)
      name = db.Column(db.String, unique=True, nullable=False)
      mentions = db.relationship('Comment', secondary=post_mentions, lazy='dynamic')

      def __eq__(self, other):
      return self.name.lower() == other.name.lower()

      def __hash__(self):
      return hash(self.name.lower())


      class Comment(db.Model):
      __tablename__ = 'comments'

      id = db.Column(db.Integer, primary_key=True)
      text = db.Column(db.Text, nullable=False)
      created_at = db.Column(db.Integer, nullable=False)


      There is also a /posts endpoint that triggers the following query:



      # flask and other imports

      @app.route('/posts')
      def posts():
      page_num = request.args.get('page', 1)
      posts = models.Post.query.join(models.post_mentions)
      .group_by(models.post_mentions.columns.post_id)
      .order_by(func.count(models.post_mentions.columns.post_id).desc())
      .paginate(page=int(page_num), per_page=25)
      return render_template('posts.html', posts=posts)


      There are more than 14k+ posts and 32k+ comments stored in SQLite database. As you can see from the snippet above, when someone hits /posts endpoint, SQLAlchemy loads all data at once to the memory and then subsequent queries (e.g. retrieving posts, comments to that posts, etc..) take sub-millisecond time, since data is being served from the memory without hitting the database. Initial load takes 10s+ on my laptop, which is, to put it mildly, suboptimal.



      So the question is: Considering that users won't view 97+% of posts, how can I both order posts by number of mentions in comments and load them on demand instead of doing it in one swoop?









      share|improve this question










      share|improve this question




      share|improve this question









      asked Jun 7 at 13:14









      Richard Feynman

      161




      161





      bumped to the homepage by Community♦ yesterday


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community♦ yesterday


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          1 Answer
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          Saw your post on indiehackers. I don't know this orm, but generally speaking, I see you have two options.



          Decide to preload/precache the data when your app starts and refresh it occasionally, if you insist on having all records available.



          But some good advice I've read is : never do in real time what you can do in advance. So... Why not even build some "top posts" table and seed that?






          share|improve this answer





















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            up vote
            1
            down vote













            Saw your post on indiehackers. I don't know this orm, but generally speaking, I see you have two options.



            Decide to preload/precache the data when your app starts and refresh it occasionally, if you insist on having all records available.



            But some good advice I've read is : never do in real time what you can do in advance. So... Why not even build some "top posts" table and seed that?






            share|improve this answer

























              up vote
              1
              down vote













              Saw your post on indiehackers. I don't know this orm, but generally speaking, I see you have two options.



              Decide to preload/precache the data when your app starts and refresh it occasionally, if you insist on having all records available.



              But some good advice I've read is : never do in real time what you can do in advance. So... Why not even build some "top posts" table and seed that?






              share|improve this answer























                up vote
                1
                down vote










                up vote
                1
                down vote









                Saw your post on indiehackers. I don't know this orm, but generally speaking, I see you have two options.



                Decide to preload/precache the data when your app starts and refresh it occasionally, if you insist on having all records available.



                But some good advice I've read is : never do in real time what you can do in advance. So... Why not even build some "top posts" table and seed that?






                share|improve this answer













                Saw your post on indiehackers. I don't know this orm, but generally speaking, I see you have two options.



                Decide to preload/precache the data when your app starts and refresh it occasionally, if you insist on having all records available.



                But some good advice I've read is : never do in real time what you can do in advance. So... Why not even build some "top posts" table and seed that?







                share|improve this answer













                share|improve this answer



                share|improve this answer











                answered Jun 9 at 16:05









                Dale Holborow

                1111




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