show query in full join example

rebuild and retest

Author: JohnMount

Examples/GettingStarted/simulating_full_join.ipynb

@@ -310,7 +310,7 @@
    "cell_type": "markdown",
    "source": [
     "Some exciting news is, the next upcoming version of the data algebra\n",
-    "(version `0.8.3`) incorporate this simulation into its SQLite\n",
+    "(version `0.8.3` and above) incorporate this simulation into its SQLite\n",
     "adapter. It performs and operator tree to dag re-write and can execute\n",
     "the original operations directly in the database."
    ],
@@ -340,7 +340,8 @@
   {
    "cell_type": "markdown",
    "source": [
-    "And that is how to simulate a full join using concatenate and left-join."
+    "The generated query isn't too illegible. And due to power of SQL-with can in fact be used on\n",
+    "non-table sources."
    ],
    "metadata": {
     "collapsed": false,
@@ -352,6 +353,123 @@
   {
    "cell_type": "code",
    "execution_count": 10,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-- data_algebra SQL https://github.com/WinVector/data_algebra\n",
+      "--  dialect: SQLiteModel\n",
+      "--       string quote: '\n",
+      "--   identifier quote: \"\n",
+      "WITH\n",
+      " \"table_reference_0\" AS (\n",
+      "  SELECT\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "   \"d1\"\n",
+      " ) ,\n",
+      " \"project_1\" AS (\n",
+      "  SELECT  -- .project({ }, group_by=['g'])\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "   \"table_reference_0\"\n",
+      "  GROUP BY\n",
+      "   \"g\"\n",
+      " ) ,\n",
+      " \"table_reference_2\" AS (\n",
+      "  SELECT\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "   \"d2\"\n",
+      " ) ,\n",
+      " \"project_3\" AS (\n",
+      "  SELECT  -- .project({ }, group_by=['g'])\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "   \"table_reference_2\"\n",
+      "  GROUP BY\n",
+      "   \"g\"\n",
+      " ) ,\n",
+      " \"concat_rows_4\" AS (\n",
+      "  SELECT  -- _0..concat_rows(b= _1, id_column=None, a_name='a', b_name='b')\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "  (\n",
+      "   SELECT\n",
+      "    *\n",
+      "   FROM\n",
+      "    \"project_1\"\n",
+      "  UNION ALL\n",
+      "   SELECT\n",
+      "    *\n",
+      "   FROM\n",
+      "    \"project_3\"\n",
+      "  ) \"concat_rows_4\"\n",
+      " ) ,\n",
+      " \"project_5\" AS (\n",
+      "  SELECT  -- .project({ }, group_by=['g'])\n",
+      "   \"g\"\n",
+      "  FROM\n",
+      "   \"concat_rows_4\"\n",
+      "  GROUP BY\n",
+      "   \"g\"\n",
+      " ) ,\n",
+      " \"natural_join_6\" AS (\n",
+      "  SELECT  -- _0..natural_join(b= _1, by=['g'], jointype='LEFT')\n",
+      "   COALESCE(\"project_5\".\"g\", \"d1\".\"g\") AS \"g\" ,\n",
+      "   \"v1\" ,\n",
+      "   \"v2\"\n",
+      "  FROM\n",
+      "  (\n",
+      "   \"project_5\"\n",
+      "  LEFT JOIN\n",
+      "   \"d1\"\n",
+      "  ON\n",
+      "   \"project_5\".\"g\" = \"d1\".\"g\"\n",
+      "  )\n",
+      " )\n",
+      "SELECT  -- _0..natural_join(b= _1, by=['g'], jointype='LEFT')\n",
+      " COALESCE(\"natural_join_6\".\"g\", \"d2\".\"g\") AS \"g\" ,\n",
+      " COALESCE(\"natural_join_6\".\"v1\", \"d2\".\"v1\") AS \"v1\" ,\n",
+      " COALESCE(\"natural_join_6\".\"v2\", \"d2\".\"v2\") AS \"v2\"\n",
+      "FROM\n",
+      "(\n",
+      " \"natural_join_6\"\n",
+      "LEFT JOIN\n",
+      " \"d2\"\n",
+      "ON\n",
+      " \"natural_join_6\".\"g\" = \"d2\".\"g\"\n",
+      ")\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(sqlite_handle.to_sql(ops))"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "And that is how to simulate a full join using concatenate and left-join."
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
    "outputs": [],
    "source": [
     "# clean up\n",

coverage.txt

@@ -127,4 +127,4 @@ data_algebra/util.py                      89      6    93%
 TOTAL                                   4915    869    82%
 
 
-============================= 225 passed in 23.13s =============================
+============================= 225 passed in 22.89s =============================