add cli screenshot

buremba · Aug 28, 2024 · e17adfd · e17adfd
1 parent c8e0a53
commit e17adfd
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Showing 3 changed files with 14 additions and 79 deletions.
diff --git a/README.md b/README.md
@@ -8,7 +8,7 @@ UniverSQL relies on Snowflake and Polaris for access control and data catalog so
 > Any SQL client that supports Snowflake, also supports UniverSQL as we implement Snowflake's API to support compatibility. If you run into any issue using an app or client, feel free to [create a discussion](https://github.com/buremba/universql/discussions/categories/quality-testing). 
 
 
-[![Demo](./resources/demo.gif)](https://www.youtube.com/watch?v=s1fpSEE-pAc)
+[![Demo](./resources/cli_demo.png)](https://www.youtube.com/watch?v=s1fpSEE-pAc)
 
 **[Watch on YouTube](https://www.youtube.com/watch?v=s1fpSEE-pAc)**
 

diff --git a/resources/cli_demo.png b/resources/cli_demo.png
diff --git a/testing.ipynb b/testing.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 1,
    "id": "initial_id",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-08-25T02:20:31.964329Z",
-     "start_time": "2024-08-25T02:20:30.625246Z"
+     "end_time": "2024-08-28T00:18:33.458129Z",
+     "start_time": "2024-08-28T00:18:30.285012Z"
     }
    },
    "outputs": [],
@@ -30,10 +30,7 @@
      "end_time": "2024-08-23T14:30:35.029029Z",
      "start_time": "2024-08-23T14:30:34.783445Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -251,95 +248,33 @@
     }
    ],
    "source": [
-    "con.cursor().execute(\"show tables in tpch_sf1\").fetch_pandas_all()"
+    "con.cursor().execute(\"select C_MKTSEGMENT, count(*) from my_iceberg_jinjat.tpch_sf1.dynamic_iceberg_table_customer group by all\").fetch_pandas_all()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 2,
    "id": "d01f1e0b-d4b7-4b16-b1a8-adf73b874dde",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-08-23T14:34:49.413Z",
-     "start_time": "2024-08-23T14:34:49.012550Z"
-    },
     "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
+    "ExecuteTime": {
+     "end_time": "2024-08-28T00:18:39.392757Z",
+     "start_time": "2024-08-28T00:18:38.346465Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>C_MKTSEGMENT</th>\n",
-       "      <th>count_star()</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MACHINERY</td>\n",
-       "      <td>119796</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>AUTOMOBILE</td>\n",
-       "      <td>119008</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>FURNITURE</td>\n",
-       "      <td>119872</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>HOUSEHOLD</td>\n",
-       "      <td>120756</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>BUILDING</td>\n",
-       "      <td>120568</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  C_MKTSEGMENT  count_star()\n",
-       "0    MACHINERY        119796\n",
-       "1   AUTOMOBILE        119008\n",
-       "2    FURNITURE        119872\n",
-       "3    HOUSEHOLD        120756\n",
-       "4     BUILDING        120568"
-      ]
+      "text/plain": "  C_MKTSEGMENT  count_star()\n0     BUILDING        120568\n1   AUTOMOBILE        119008\n2    FURNITURE        119872\n3    MACHINERY        119796\n4    HOUSEHOLD        120756",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>C_MKTSEGMENT</th>\n      <th>count_star()</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>BUILDING</td>\n      <td>120568</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>AUTOMOBILE</td>\n      <td>119008</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>FURNITURE</td>\n      <td>119872</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>MACHINERY</td>\n      <td>119796</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>HOUSEHOLD</td>\n      <td>120756</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 26,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "con.cursor().execute(\"select C_MKTSEGMENT, count(*) from my_iceberg_jinjat.tpch_sf1.dynamic_iceberg_table_customer group by all\").fetch_pandas_all()"
+    "con.cursor().execute(\"show tables in tpch_sf1\").fetch_pandas_all()"
    ]
   },
   {