bsql_list_describe_tables.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BlazingContext ready\n"
     ]
    }
   ],
   "source": [
    "from blazingsql import BlazingContext\n",
    "bc = BlazingContext()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(True,\n",
       " '',\n",
       " OrderedDict([('type', 's3'),\n",
       "              ('bucket_name', 'blazingsql-colab'),\n",
       "              ('access_key_id', ''),\n",
       "              ('secret_key', ''),\n",
       "              ('session_token', ''),\n",
       "              ('encryption_type', <S3EncryptionType.NONE: 1>),\n",
       "              ('kms_key_amazon_resource_name', ''),\n",
       "              ('endpoint_override', ''),\n",
       "              ('region', '')]))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# register AWS S3 bucket\n",
    "bc.s3('bsql_data', bucket_name='blazingsql-colab')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bc.create_table('orders', 's3://bsql_data/tpch_sf10/orders/')\n",
    "\n",
    "bc.create_table('lineitem', 's3://bsql_data/tpch_sf10/lineitem/')\n",
    "\n",
    "bc.create_table('customer', 's3://bsql_data/tpch_sf10/customer/')\n",
    "\n",
    "bc.create_table('part', 's3://bsql_data/tpch_sf10/part/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List Tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['orders', 'lineitem', 'customer', 'part']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bc.list_tables()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Describe a Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'l_orderkey': 'int64',\n",
       " 'l_partkey': 'int64',\n",
       " 'l_suppkey': 'int64',\n",
       " 'l_linenumber': 'int32',\n",
       " 'l_quantity': 'float64',\n",
       " 'l_extendedprice': 'float64',\n",
       " 'l_discount': 'float64',\n",
       " 'l_tax': 'float64',\n",
       " 'l_returnflag': 'str',\n",
       " 'l_linestatus': 'str',\n",
       " 'l_shipdate': 'datetime64[ms]',\n",
       " 'l_commitdate': 'datetime64[ms]',\n",
       " 'l_receiptdate': 'datetime64[ms]',\n",
       " 'l_shipinstruct': 'str',\n",
       " 'l_shipmode': 'str',\n",
       " 'l_comment': 'str'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bc.describe_table('lineitem')"
   ]
  }
 ],
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   "display_name": "RAPIDS Nightly",
   "language": "python",
   "name": "rapids-nightly"
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