analytics

from django.db.models import F, Window
from django.db.models.functions import RowNumber, Rank, DenseRank
from products.models import Sale


def get_sales_with_ranking():

class ShardedCounter
  SHARDS = 16
  SNAPSHOT_TTL = 10 # seconds

  def initialize(name, redis: REDIS)
    @name = name

-- ROW_NUMBER: Unique sequential number
SELECT
  name,
  department,
  salary,
  ROW_NUMBER() OVER (ORDER BY salary DESC) as overall_rank,

import pandas as pd
import plotly.express as px

df = pd.read_csv('marketing_performance.csv')
fig = px.scatter(
    df,

WITH ordered_events AS (
  SELECT
    customer_id,
    event_time,
    revenue,
    ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY event_time DESC) AS event_rank,

import pandas as pd

df = pd.read_parquet('events.parquet')
df['event_date'] = pd.to_datetime(df['event_date'])
df['month'] = df['event_date'].dt.to_period('M').astype(str)

import geopandas as gpd
from shapely.geometry import Point

stores = gpd.read_file('stores.geojson').to_crs(epsg=3857)
customers = gpd.GeoDataFrame(
    customer_df,

CREATE TABLE daily_events (
    id          BIGSERIAL PRIMARY KEY,
    category    TEXT        NOT NULL,
    item_id     BIGINT      NOT NULL,
    score       NUMERIC(10,2) NOT NULL DEFAULT 0,
    occurred_at TIMESTAMPTZ NOT NULL DEFAULT now()

CREATE TABLE daily_metrics (
    id          BIGGENERATED ALWAYS AS IDENTITY PRIMARY KEY,
    tenant_id   BIGINT      NOT NULL,
    metric      TEXT        NOT NULL,
    day         DATE        NOT NULL,
    count       BIGINT      NOT NULL DEFAULT 0,

-- Basic LATERAL join
SELECT
  u.username,
  recent.order_id,
  recent.total,
  recent.created_at

class ReportsController < ApplicationController
  def monthly_sales
    year = params.fetch(:year, Date.current.year).to_i
    rows = Order.monthly_sales(year: year)
    @report = MonthlySalesReport.new(rows, year: year)

-- ROLLUP for hierarchical subtotals
SELECT
  COALESCE(category, 'ALL CATEGORIES') AS category,
  COALESCE(subcategory, 'ALL SUBCATEGORIES') AS subcategory,
  SUM(revenue) AS total_revenue,
  COUNT(*) AS order_count