json.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from jqlite import dbapi2 as jqlite\n",
    "import json\n",
    "import urllib2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from peewee import *\n",
    "from playhouse.sqlite_ext import *\n",
    "\n",
    "class JQLiteDatabase(SqliteExtDatabase):\n",
    "    def _connect(self, database, **kwargs):\n",
    "        conn = jqlite.connect(database, **kwargs)\n",
    "        conn.isolation_level = None\n",
    "        self._add_conn_hooks(conn)\n",
    "        return conn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "db = JQLiteDatabase(':memory:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class Entry(Model):\n",
    "    data = TextField()\n",
    "    class Meta:\n",
    "        database = db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Entry.create_table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'metadata': {u'tags': [u'python', u'sqlite']},\n",
       " u'title': u'My List of Python and SQLite Resources',\n",
       " u'url': u'http://charlesleifer.com/blog/my-list-of-python-and-sqlite-resources/'}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fh = urllib2.urlopen('http://media.charlesleifer.com/downloads/misc/blogs.json')\n",
    "data = json.load(fh)\n",
    "data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with db.atomic():\n",
    "    for entry in data:\n",
    "        Entry.create(data=json.dumps(entry))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'title': u'A Tour of Tagging Schemas: Many-to-many, Bitmaps and More'},\n",
       " {'title': u'Alternative Redis-Like Databases with Python'},\n",
       " {'title': u'Building the SQLite FTS5 Search Extension'},\n",
       " {'title': u'Connor Thomas Leifer'},\n",
       " {'title': u'Extending SQLite with Python'},\n",
       " {'title': u'How to make a Flask blog in one hour or less'},\n",
       " {'title': u'Introduction to the fast new UnQLite Python Bindings'},\n",
       " {'title': u'Managing Database Connections with Peewee'},\n",
       " {'title': u'Meet Scout, a Search Server Powered by SQLite'},\n",
       " {'title': u'My List of Python and SQLite Resources'}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title = fn.json_extract(Entry.data, '$.title')\n",
    "query = (Entry\n",
    "         .select(title.alias('title'))\n",
    "         .order_by(title)\n",
    "         .limit(10))\n",
    "[row for row in query.dicts()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SELECT json_extract(\"t1\".\"data\", ?) AS title FROM \"entry\" AS t1 ORDER BY json_extract(\"t1\".\"data\", ?) LIMIT 10\n",
      "['$.title', '$.title']\n"
     ]
    }
   ],
   "source": [
    "print query.sql()[0]\n",
    "print query.sql()[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Building the SQLite FTS5 Search Extension',\n",
       " u'Extending SQLite with Python',\n",
       " u'Meet Scout, a Search Server Powered by SQLite',\n",
       " u'My List of Python and SQLite Resources',\n",
       " u'Querying Tree Structures in SQLite using Python and the Transitive Closure Extension',\n",
       " u\"Using SQLite4's LSM Storage Engine as a Stand-alone NoSQL Database with Python\",\n",
       " u'Web-based SQLite Database Browser, powered by Flask and Peewee']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from peewee import Entity\n",
    "tags_src = fn.json_each(Entry.data, '$.metadata.tags')\n",
    "tags_ref = Entity('tags')\n",
    "\n",
    "query = (Entry\n",
    "         .select(title.alias('title'))\n",
    "         .from_(Entry, tags_src.alias('tags'))\n",
    "         .where(tags_ref.value == 'sqlite')\n",
    "         .order_by(title))\n",
    "\n",
    "[row for row, in query.tuples()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SELECT json_extract(\"t1\".\"data\", ?) AS title FROM \"entry\" AS t1, json_each(\"t1\".\"data\", ?) AS tags WHERE (\"tags\".\"value\" = ?) ORDER BY json_extract(\"t1\".\"data\", ?)\n",
      "['$.title', '$.metadata.tags', 'sqlite', '$.title']\n"
     ]
    }
   ],
   "source": [
    "print query.sql()[0]\n",
    "print query.sql()[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Building the SQLite FTS5 Search Extension',\n",
       " u'Extending SQLite with Python',\n",
       " u'Meet Scout, a Search Server Powered by SQLite',\n",
       " u'My List of Python and SQLite Resources',\n",
       " u'Querying Tree Structures in SQLite using Python and the Transitive Closure Extension',\n",
       " u\"Using SQLite4's LSM Storage Engine as a Stand-alone NoSQL Database with Python\",\n",
       " u'Web-based SQLite Database Browser, powered by Flask and Peewee']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree = fn.json_tree(Entry.data, '$').alias('tree')\n",
    "parent = fn.json_tree(Entry.data, '$').alias('parent')\n",
    "\n",
    "tree_ref = Entity('tree')\n",
    "parent_ref = Entity('parent')\n",
    "\n",
    "query = (Entry\n",
    "         .select(title.alias('title'))\n",
    "         .from_(Entry, tree, parent)\n",
    "         .where(\n",
    "             (tree_ref.parent == parent_ref.id) &\n",
    "             (parent_ref.key == 'tags') &\n",
    "             (tree_ref.value == 'sqlite'))\n",
    "         .order_by(title))\n",
    "\n",
    "[row for row, in query.tuples()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'A Tour of Tagging Schemas: Many-to-many, Bitmaps and More',\n",
       "  u'peewee, sql, python'),\n",
       " (u'Alternative Redis-Like Databases with Python',\n",
       "  u'python, walrus, redis, nosql'),\n",
       " (u'Building the SQLite FTS5 Search Extension',\n",
       "  u'sqlite, search, python, peewee'),\n",
       " (u'Connor Thomas Leifer', u'thoughts'),\n",
       " (u'Extending SQLite with Python', u'peewee, python, sqlite'),\n",
       " (u'How to make a Flask blog in one hour or less', u'python, flask, peewee'),\n",
       " (u'Introduction to the fast new UnQLite Python Bindings',\n",
       "  u'nosql, python, unqlite, cython'),\n",
       " (u'Managing Database Connections with Peewee', u'peewee, python'),\n",
       " (u'Meet Scout, a Search Server Powered by SQLite',\n",
       "  u'sqlite, peewee, python, search, scout'),\n",
       " (u'My List of Python and SQLite Resources', u'python, sqlite')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tags = fn.json_each(Entry.data, '$.metadata.tags').alias('tags')\n",
    "tags_ref = Entity('tags')\n",
    "\n",
    "query = (Entry\n",
    "         .select(title.alias('title'), fn.group_concat(tags_ref.value, ', ').alias('tags'))\n",
    "         .from_(Entry, tags)\n",
    "         .group_by(title)\n",
    "         .limit(10))\n",
    "\n",
    "[row for row in query.tuples()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 2",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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