From b037b6a7ee49f0de985f958dceb7f4ee1b275f58 Mon Sep 17 00:00:00 2001
From: Benjamin Bengfort <benjamin@bengfort.com>
Date: Wed, 27 Sep 2017 13:08:09 -0400
Subject: [PATCH] python3ify notebooks
---
jupyter/.gitignore | 1 +
jupyter/01-Jupyter-Getting-Started.ipynb | 15 +-
jupyter/02-Basics-SQL.ipynb | 699 ++++++++----------
jupyter/03-SQL-Different-Types-of-Joins.ipynb | 335 ++++-----
jupyter/04-SQL-NULLs-and-UNKNOWN.ipynb | 138 +---
jupyter/05-Basic-Relational-Algebra.ipynb | 59 +-
jupyter/06-SQL-INDEXES-AND-EXPLAIN.ipynb | 218 +++---
...tional-Database-Design-Normalization.ipynb | 622 +++++++++-------
8 files changed, 955 insertions(+), 1132 deletions(-)
create mode 100644 jupyter/.gitignore
diff --git a/jupyter/.gitignore b/jupyter/.gitignore
new file mode 100644
index 0000000..763513e
--- /dev/null
+++ b/jupyter/.gitignore
@@ -0,0 +1 @@
+.ipynb_checkpoints
diff --git a/jupyter/01-Jupyter-Getting-Started.ipynb b/jupyter/01-Jupyter-Getting-Started.ipynb
index 4a8d499..af16915 100644
--- a/jupyter/01-Jupyter-Getting-Started.ipynb
+++ b/jupyter/01-Jupyter-Getting-Started.ipynb
@@ -128,7 +128,9 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def fibonacci(sequence_length):\n",
@@ -225,15 +227,6 @@
"x,y = minmax(positions)\n",
"print (x,y)"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -252,7 +245,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2"
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/02-Basics-SQL.ipynb b/jupyter/02-Basics-SQL.ipynb
index 2db18d3..35b8dff 100644
--- a/jupyter/02-Basics-SQL.ipynb
+++ b/jupyter/02-Basics-SQL.ipynb
@@ -13,22 +13,9 @@
},
{
"cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "u'Connected: ubuntu@university'"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"%load_ext sql\n",
"%sql postgresql://ubuntu:ubuntu@localhost/university"
@@ -43,10 +30,8 @@
},
{
"cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 5,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -140,21 +125,21 @@
"</table>"
],
"text/plain": [
- "[(u'10101', u'Srinivasan', u'Comp. Sci.', Decimal('65000.00')),\n",
- " (u'12121', u'Wu', u'Finance', Decimal('90000.00')),\n",
- " (u'15151', u'Mozart', u'Music', Decimal('40000.00')),\n",
- " (u'22222', u'Einstein', u'Physics', Decimal('95000.00')),\n",
- " (u'32343', u'El Said', u'History', Decimal('60000.00')),\n",
- " (u'33456', u'Gold', u'Physics', Decimal('87000.00')),\n",
- " (u'45565', u'Katz', u'Comp. Sci.', Decimal('75000.00')),\n",
- " (u'58583', u'Califieri', u'History', Decimal('62000.00')),\n",
- " (u'76543', u'Singh', u'Finance', Decimal('80000.00')),\n",
- " (u'76766', u'Crick', u'Biology', Decimal('72000.00')),\n",
- " (u'83821', u'Brandt', u'Comp. Sci.', Decimal('92000.00')),\n",
- " (u'98345', u'Kim', u'Elec. Eng.', Decimal('80000.00'))]"
+ "[('10101', 'Srinivasan', 'Comp. Sci.', Decimal('65000.00')),\n",
+ " ('12121', 'Wu', 'Finance', Decimal('90000.00')),\n",
+ " ('15151', 'Mozart', 'Music', Decimal('40000.00')),\n",
+ " ('22222', 'Einstein', 'Physics', Decimal('95000.00')),\n",
+ " ('32343', 'El Said', 'History', Decimal('60000.00')),\n",
+ " ('33456', 'Gold', 'Physics', Decimal('87000.00')),\n",
+ " ('45565', 'Katz', 'Comp. Sci.', Decimal('75000.00')),\n",
+ " ('58583', 'Califieri', 'History', Decimal('62000.00')),\n",
+ " ('76543', 'Singh', 'Finance', Decimal('80000.00')),\n",
+ " ('76766', 'Crick', 'Biology', Decimal('72000.00')),\n",
+ " ('83821', 'Brandt', 'Comp. Sci.', Decimal('92000.00')),\n",
+ " ('98345', 'Kim', 'Elec. Eng.', Decimal('80000.00'))]"
]
},
- "execution_count": 2,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -173,10 +158,8 @@
},
{
"cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 6,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -195,65 +178,65 @@
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>prereq</td>\n",
+ " <td>department</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>teaches</td>\n",
+ " <td>section</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>instructor</td>\n",
+ " <td>course</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>department</td>\n",
+ " <td>prereq</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>student</td>\n",
+ " <td>classroom</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>advisor</td>\n",
+ " <td>takes</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>section</td>\n",
+ " <td>instructor</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>classroom</td>\n",
+ " <td>teaches</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>time_slot</td>\n",
+ " <td>student</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>takes</td>\n",
+ " <td>advisor</td>\n",
" </tr>\n",
" <tr>\n",
" <td>public</td>\n",
- " <td>course</td>\n",
+ " <td>time_slot</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'public', u'prereq'),\n",
- " (u'public', u'teaches'),\n",
- " (u'public', u'instructor'),\n",
- " (u'public', u'department'),\n",
- " (u'public', u'student'),\n",
- " (u'public', u'advisor'),\n",
- " (u'public', u'section'),\n",
- " (u'public', u'classroom'),\n",
- " (u'public', u'time_slot'),\n",
- " (u'public', u'takes'),\n",
- " (u'public', u'course')]"
+ "[('public', 'department'),\n",
+ " ('public', 'section'),\n",
+ " ('public', 'course'),\n",
+ " ('public', 'prereq'),\n",
+ " ('public', 'classroom'),\n",
+ " ('public', 'takes'),\n",
+ " ('public', 'instructor'),\n",
+ " ('public', 'teaches'),\n",
+ " ('public', 'student'),\n",
+ " ('public', 'advisor'),\n",
+ " ('public', 'time_slot')]"
]
},
- "execution_count": 3,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -267,10 +250,8 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 7,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -306,13 +287,13 @@
"</table>"
],
"text/plain": [
- "[(u'id', u'character varying'),\n",
- " (u'name', u'character varying'),\n",
- " (u'dept_name', u'character varying'),\n",
- " (u'salary', u'numeric')]"
+ "[('id', 'character varying'),\n",
+ " ('name', 'character varying'),\n",
+ " ('dept_name', 'character varying'),\n",
+ " ('salary', 'numeric')]"
]
},
- "execution_count": 4,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -382,10 +363,8 @@
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 8,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -419,11 +398,11 @@
"</table>"
],
"text/plain": [
- "[(u'BIO-101', u'Intro. to Biology', u'Biology', Decimal('4')),\n",
- " (u'BIO-399', u'Computational Biology', u'Biology', Decimal('3'))]"
+ "[('BIO-101', 'Intro. to Biology', 'Biology', Decimal('4')),\n",
+ " ('BIO-399', 'Computational Biology', 'Biology', Decimal('3'))]"
]
},
- "execution_count": 5,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -441,10 +420,8 @@
},
{
"cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 9,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -476,10 +453,10 @@
"</table>"
],
"text/plain": [
- "[(u'98988', u'BIO-101', u'1', u'Summer', Decimal('2009'), u'A')]"
+ "[('98988', 'BIO-101', '1', 'Summer', Decimal('2009'), 'A')]"
]
},
- "execution_count": 6,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -490,10 +467,8 @@
},
{
"cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 10,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -525,10 +500,10 @@
"</table>"
],
"text/plain": [
- "[(u'98988', u'BIO-101', u'1', u'Summer', Decimal('2009'), u'A')]"
+ "[('98988', 'BIO-101', '1', 'Summer', Decimal('2009'), 'A')]"
]
},
- "execution_count": 7,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -548,10 +523,8 @@
},
{
"cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 11,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -573,10 +546,10 @@
"</table>"
],
"text/plain": [
- "[(2L,)]"
+ "[(2,)]"
]
},
- "execution_count": 8,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -594,10 +567,8 @@
},
{
"cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 12,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -625,10 +596,10 @@
"</table>"
],
"text/plain": [
- "[(u'22222', u'Einstein', u'Physics', Decimal('95000.00'))]"
+ "[('22222', 'Einstein', 'Physics', Decimal('95000.00'))]"
]
},
- "execution_count": 9,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -650,10 +621,8 @@
},
{
"cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 13,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -734,21 +703,21 @@
"</table>"
],
"text/plain": [
- "[(u'Srinivasan', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Wu', u'Finance', u'Painter'),\n",
- " (u'Mozart', u'Music', u'Packard'),\n",
- " (u'Einstein', u'Physics', u'Watson'),\n",
- " (u'El Said', u'History', u'Painter'),\n",
- " (u'Gold', u'Physics', u'Watson'),\n",
- " (u'Katz', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Califieri', u'History', u'Painter'),\n",
- " (u'Singh', u'Finance', u'Painter'),\n",
- " (u'Crick', u'Biology', u'Watson'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Kim', u'Elec. Eng.', u'Taylor')]"
+ "[('Srinivasan', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Wu', 'Finance', 'Painter'),\n",
+ " ('Mozart', 'Music', 'Packard'),\n",
+ " ('Einstein', 'Physics', 'Watson'),\n",
+ " ('El Said', 'History', 'Painter'),\n",
+ " ('Gold', 'Physics', 'Watson'),\n",
+ " ('Katz', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Califieri', 'History', 'Painter'),\n",
+ " ('Singh', 'Finance', 'Painter'),\n",
+ " ('Crick', 'Biology', 'Watson'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Kim', 'Elec. Eng.', 'Taylor')]"
]
},
- "execution_count": 10,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -769,10 +738,8 @@
},
{
"cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 14,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -853,21 +820,21 @@
"</table>"
],
"text/plain": [
- "[(u'Srinivasan', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Wu', u'Finance', u'Painter'),\n",
- " (u'Mozart', u'Music', u'Packard'),\n",
- " (u'Einstein', u'Physics', u'Watson'),\n",
- " (u'El Said', u'History', u'Painter'),\n",
- " (u'Gold', u'Physics', u'Watson'),\n",
- " (u'Katz', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Califieri', u'History', u'Painter'),\n",
- " (u'Singh', u'Finance', u'Painter'),\n",
- " (u'Crick', u'Biology', u'Watson'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Kim', u'Elec. Eng.', u'Taylor')]"
+ "[('Srinivasan', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Wu', 'Finance', 'Painter'),\n",
+ " ('Mozart', 'Music', 'Packard'),\n",
+ " ('Einstein', 'Physics', 'Watson'),\n",
+ " ('El Said', 'History', 'Painter'),\n",
+ " ('Gold', 'Physics', 'Watson'),\n",
+ " ('Katz', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Califieri', 'History', 'Painter'),\n",
+ " ('Singh', 'Finance', 'Painter'),\n",
+ " ('Crick', 'Biology', 'Watson'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Kim', 'Elec. Eng.', 'Taylor')]"
]
},
- "execution_count": 11,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -887,10 +854,8 @@
},
{
"cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 15,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1331,93 +1296,93 @@
"</table>"
],
"text/plain": [
- "[(u'Srinivasan', u'Comp. Sci.', u'Watson'),\n",
- " (u'Wu', u'Finance', u'Watson'),\n",
- " (u'Mozart', u'Music', u'Watson'),\n",
- " (u'Einstein', u'Physics', u'Watson'),\n",
- " (u'El Said', u'History', u'Watson'),\n",
- " (u'Gold', u'Physics', u'Watson'),\n",
- " (u'Katz', u'Comp. Sci.', u'Watson'),\n",
- " (u'Califieri', u'History', u'Watson'),\n",
- " (u'Singh', u'Finance', u'Watson'),\n",
- " (u'Crick', u'Biology', u'Watson'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Watson'),\n",
- " (u'Kim', u'Elec. Eng.', u'Watson'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Wu', u'Finance', u'Taylor'),\n",
- " (u'Mozart', u'Music', u'Taylor'),\n",
- " (u'Einstein', u'Physics', u'Taylor'),\n",
- " (u'El Said', u'History', u'Taylor'),\n",
- " (u'Gold', u'Physics', u'Taylor'),\n",
- " (u'Katz', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Califieri', u'History', u'Taylor'),\n",
- " (u'Singh', u'Finance', u'Taylor'),\n",
- " (u'Crick', u'Biology', u'Taylor'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Kim', u'Elec. Eng.', u'Taylor'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Wu', u'Finance', u'Taylor'),\n",
- " (u'Mozart', u'Music', u'Taylor'),\n",
- " (u'Einstein', u'Physics', u'Taylor'),\n",
- " (u'El Said', u'History', u'Taylor'),\n",
- " (u'Gold', u'Physics', u'Taylor'),\n",
- " (u'Katz', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Califieri', u'History', u'Taylor'),\n",
- " (u'Singh', u'Finance', u'Taylor'),\n",
- " (u'Crick', u'Biology', u'Taylor'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Taylor'),\n",
- " (u'Kim', u'Elec. Eng.', u'Taylor'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Painter'),\n",
- " (u'Wu', u'Finance', u'Painter'),\n",
- " (u'Mozart', u'Music', u'Painter'),\n",
- " (u'Einstein', u'Physics', u'Painter'),\n",
- " (u'El Said', u'History', u'Painter'),\n",
- " (u'Gold', u'Physics', u'Painter'),\n",
- " (u'Katz', u'Comp. Sci.', u'Painter'),\n",
- " (u'Califieri', u'History', u'Painter'),\n",
- " (u'Singh', u'Finance', u'Painter'),\n",
- " (u'Crick', u'Biology', u'Painter'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Painter'),\n",
- " (u'Kim', u'Elec. Eng.', u'Painter'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Painter'),\n",
- " (u'Wu', u'Finance', u'Painter'),\n",
- " (u'Mozart', u'Music', u'Painter'),\n",
- " (u'Einstein', u'Physics', u'Painter'),\n",
- " (u'El Said', u'History', u'Painter'),\n",
- " (u'Gold', u'Physics', u'Painter'),\n",
- " (u'Katz', u'Comp. Sci.', u'Painter'),\n",
- " (u'Califieri', u'History', u'Painter'),\n",
- " (u'Singh', u'Finance', u'Painter'),\n",
- " (u'Crick', u'Biology', u'Painter'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Painter'),\n",
- " (u'Kim', u'Elec. Eng.', u'Painter'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Packard'),\n",
- " (u'Wu', u'Finance', u'Packard'),\n",
- " (u'Mozart', u'Music', u'Packard'),\n",
- " (u'Einstein', u'Physics', u'Packard'),\n",
- " (u'El Said', u'History', u'Packard'),\n",
- " (u'Gold', u'Physics', u'Packard'),\n",
- " (u'Katz', u'Comp. Sci.', u'Packard'),\n",
- " (u'Califieri', u'History', u'Packard'),\n",
- " (u'Singh', u'Finance', u'Packard'),\n",
- " (u'Crick', u'Biology', u'Packard'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Packard'),\n",
- " (u'Kim', u'Elec. Eng.', u'Packard'),\n",
- " (u'Srinivasan', u'Comp. Sci.', u'Watson'),\n",
- " (u'Wu', u'Finance', u'Watson'),\n",
- " (u'Mozart', u'Music', u'Watson'),\n",
- " (u'Einstein', u'Physics', u'Watson'),\n",
- " (u'El Said', u'History', u'Watson'),\n",
- " (u'Gold', u'Physics', u'Watson'),\n",
- " (u'Katz', u'Comp. Sci.', u'Watson'),\n",
- " (u'Califieri', u'History', u'Watson'),\n",
- " (u'Singh', u'Finance', u'Watson'),\n",
- " (u'Crick', u'Biology', u'Watson'),\n",
- " (u'Brandt', u'Comp. Sci.', u'Watson'),\n",
- " (u'Kim', u'Elec. Eng.', u'Watson')]"
+ "[('Srinivasan', 'Comp. Sci.', 'Watson'),\n",
+ " ('Wu', 'Finance', 'Watson'),\n",
+ " ('Mozart', 'Music', 'Watson'),\n",
+ " ('Einstein', 'Physics', 'Watson'),\n",
+ " ('El Said', 'History', 'Watson'),\n",
+ " ('Gold', 'Physics', 'Watson'),\n",
+ " ('Katz', 'Comp. Sci.', 'Watson'),\n",
+ " ('Califieri', 'History', 'Watson'),\n",
+ " ('Singh', 'Finance', 'Watson'),\n",
+ " ('Crick', 'Biology', 'Watson'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Watson'),\n",
+ " ('Kim', 'Elec. Eng.', 'Watson'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Wu', 'Finance', 'Taylor'),\n",
+ " ('Mozart', 'Music', 'Taylor'),\n",
+ " ('Einstein', 'Physics', 'Taylor'),\n",
+ " ('El Said', 'History', 'Taylor'),\n",
+ " ('Gold', 'Physics', 'Taylor'),\n",
+ " ('Katz', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Califieri', 'History', 'Taylor'),\n",
+ " ('Singh', 'Finance', 'Taylor'),\n",
+ " ('Crick', 'Biology', 'Taylor'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Kim', 'Elec. Eng.', 'Taylor'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Wu', 'Finance', 'Taylor'),\n",
+ " ('Mozart', 'Music', 'Taylor'),\n",
+ " ('Einstein', 'Physics', 'Taylor'),\n",
+ " ('El Said', 'History', 'Taylor'),\n",
+ " ('Gold', 'Physics', 'Taylor'),\n",
+ " ('Katz', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Califieri', 'History', 'Taylor'),\n",
+ " ('Singh', 'Finance', 'Taylor'),\n",
+ " ('Crick', 'Biology', 'Taylor'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Taylor'),\n",
+ " ('Kim', 'Elec. Eng.', 'Taylor'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Painter'),\n",
+ " ('Wu', 'Finance', 'Painter'),\n",
+ " ('Mozart', 'Music', 'Painter'),\n",
+ " ('Einstein', 'Physics', 'Painter'),\n",
+ " ('El Said', 'History', 'Painter'),\n",
+ " ('Gold', 'Physics', 'Painter'),\n",
+ " ('Katz', 'Comp. Sci.', 'Painter'),\n",
+ " ('Califieri', 'History', 'Painter'),\n",
+ " ('Singh', 'Finance', 'Painter'),\n",
+ " ('Crick', 'Biology', 'Painter'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Painter'),\n",
+ " ('Kim', 'Elec. Eng.', 'Painter'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Painter'),\n",
+ " ('Wu', 'Finance', 'Painter'),\n",
+ " ('Mozart', 'Music', 'Painter'),\n",
+ " ('Einstein', 'Physics', 'Painter'),\n",
+ " ('El Said', 'History', 'Painter'),\n",
+ " ('Gold', 'Physics', 'Painter'),\n",
+ " ('Katz', 'Comp. Sci.', 'Painter'),\n",
+ " ('Califieri', 'History', 'Painter'),\n",
+ " ('Singh', 'Finance', 'Painter'),\n",
+ " ('Crick', 'Biology', 'Painter'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Painter'),\n",
+ " ('Kim', 'Elec. Eng.', 'Painter'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Packard'),\n",
+ " ('Wu', 'Finance', 'Packard'),\n",
+ " ('Mozart', 'Music', 'Packard'),\n",
+ " ('Einstein', 'Physics', 'Packard'),\n",
+ " ('El Said', 'History', 'Packard'),\n",
+ " ('Gold', 'Physics', 'Packard'),\n",
+ " ('Katz', 'Comp. Sci.', 'Packard'),\n",
+ " ('Califieri', 'History', 'Packard'),\n",
+ " ('Singh', 'Finance', 'Packard'),\n",
+ " ('Crick', 'Biology', 'Packard'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Packard'),\n",
+ " ('Kim', 'Elec. Eng.', 'Packard'),\n",
+ " ('Srinivasan', 'Comp. Sci.', 'Watson'),\n",
+ " ('Wu', 'Finance', 'Watson'),\n",
+ " ('Mozart', 'Music', 'Watson'),\n",
+ " ('Einstein', 'Physics', 'Watson'),\n",
+ " ('El Said', 'History', 'Watson'),\n",
+ " ('Gold', 'Physics', 'Watson'),\n",
+ " ('Katz', 'Comp. Sci.', 'Watson'),\n",
+ " ('Califieri', 'History', 'Watson'),\n",
+ " ('Singh', 'Finance', 'Watson'),\n",
+ " ('Crick', 'Biology', 'Watson'),\n",
+ " ('Brandt', 'Comp. Sci.', 'Watson'),\n",
+ " ('Kim', 'Elec. Eng.', 'Watson')]"
]
},
- "execution_count": 12,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -1438,10 +1403,8 @@
},
{
"cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 16,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1479,22 +1442,22 @@
" <td> -> Seq Scan on instructor s (cost=0.00..15.50 rows=2 width=14)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> Filter: ((dept_name)::text = 'Biology'::text)</td>\n",
+ " <td> Filter: ((dept_name)::text = 'Biology'::text)</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'HashAggregate (cost=43.84..45.84 rows=200 width=58)',),\n",
- " (u' Group Key: t.name',),\n",
- " (u' -> Nested Loop (cost=0.00..43.10 rows=293 width=58)',),\n",
- " (u' Join Filter: (t.salary > s.salary)',),\n",
- " (u' -> Seq Scan on instructor t (cost=0.00..14.40 rows=440 width=72)',),\n",
- " (u' -> Materialize (cost=0.00..15.51 rows=2 width=14)',),\n",
- " (u' -> Seq Scan on instructor s (cost=0.00..15.50 rows=2 width=14)',),\n",
- " (u\" Filter: ((dept_name)::text = 'Biology'::text)\",)]"
+ "[('HashAggregate (cost=43.84..45.84 rows=200 width=58)',),\n",
+ " (' Group Key: t.name',),\n",
+ " (' -> Nested Loop (cost=0.00..43.10 rows=293 width=58)',),\n",
+ " (' Join Filter: (t.salary > s.salary)',),\n",
+ " (' -> Seq Scan on instructor t (cost=0.00..14.40 rows=440 width=72)',),\n",
+ " (' -> Materialize (cost=0.00..15.51 rows=2 width=14)',),\n",
+ " (' -> Seq Scan on instructor s (cost=0.00..15.50 rows=2 width=14)',),\n",
+ " (\" Filter: ((dept_name)::text = 'Biology'::text)\",)]"
]
},
- "execution_count": 13,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -1517,10 +1480,8 @@
},
{
"cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 17,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1537,43 +1498,43 @@
" <th>QUERY PLAN</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>Hash Join (cost=29.12..176.18 rows=3612 width=68) (actual time=0.016..0.016 rows=0 loops=1)</td>\n",
+ " <td>Hash Join (cost=29.12..176.18 rows=3612 width=68) (actual time=0.047..0.047 rows=0 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Hash Cond: ((p1.prereq_id)::text = (p2.course_id)::text)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on prereq p1 (cost=0.00..18.50 rows=850 width=68) (actual time=0.005..0.006 rows=7 loops=1)</td>\n",
+ " <td> -> Seq Scan on prereq p1 (cost=0.00..18.50 rows=850 width=68) (actual time=0.012..0.013 rows=7 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Hash (cost=18.50..18.50 rows=850 width=68) (actual time=0.005..0.005 rows=7 loops=1)</td>\n",
+ " <td> -> Hash (cost=18.50..18.50 rows=850 width=68) (actual time=0.016..0.016 rows=7 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Buckets: 1024 Batches: 1 Memory Usage: 9kB</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on prereq p2 (cost=0.00..18.50 rows=850 width=68) (actual time=0.001..0.002 rows=7 loops=1)</td>\n",
+ " <td> -> Seq Scan on prereq p2 (cost=0.00..18.50 rows=850 width=68) (actual time=0.003..0.005 rows=7 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>Planning time: 0.130 ms</td>\n",
+ " <td>Planning time: 0.328 ms</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>Execution time: 0.029 ms</td>\n",
+ " <td>Execution time: 0.124 ms</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'Hash Join (cost=29.12..176.18 rows=3612 width=68) (actual time=0.016..0.016 rows=0 loops=1)',),\n",
- " (u' Hash Cond: ((p1.prereq_id)::text = (p2.course_id)::text)',),\n",
- " (u' -> Seq Scan on prereq p1 (cost=0.00..18.50 rows=850 width=68) (actual time=0.005..0.006 rows=7 loops=1)',),\n",
- " (u' -> Hash (cost=18.50..18.50 rows=850 width=68) (actual time=0.005..0.005 rows=7 loops=1)',),\n",
- " (u' Buckets: 1024 Batches: 1 Memory Usage: 9kB',),\n",
- " (u' -> Seq Scan on prereq p2 (cost=0.00..18.50 rows=850 width=68) (actual time=0.001..0.002 rows=7 loops=1)',),\n",
- " (u'Planning time: 0.130 ms',),\n",
- " (u'Execution time: 0.029 ms',)]"
+ "[('Hash Join (cost=29.12..176.18 rows=3612 width=68) (actual time=0.047..0.047 rows=0 loops=1)',),\n",
+ " (' Hash Cond: ((p1.prereq_id)::text = (p2.course_id)::text)',),\n",
+ " (' -> Seq Scan on prereq p1 (cost=0.00..18.50 rows=850 width=68) (actual time=0.012..0.013 rows=7 loops=1)',),\n",
+ " (' -> Hash (cost=18.50..18.50 rows=850 width=68) (actual time=0.016..0.016 rows=7 loops=1)',),\n",
+ " (' Buckets: 1024 Batches: 1 Memory Usage: 9kB',),\n",
+ " (' -> Seq Scan on prereq p2 (cost=0.00..18.50 rows=850 width=68) (actual time=0.003..0.005 rows=7 loops=1)',),\n",
+ " ('Planning time: 0.328 ms',),\n",
+ " ('Execution time: 0.124 ms',)]"
]
},
- "execution_count": 14,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -1594,10 +1555,8 @@
},
{
"cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 18,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1612,7 +1571,7 @@
"[]"
]
},
- "execution_count": 15,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -1623,10 +1582,8 @@
},
{
"cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 19,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1662,13 +1619,13 @@
"</table>"
],
"text/plain": [
- "[(u'CS-190', u'PHY-101'),\n",
- " (u'CS-315', u'PHY-101'),\n",
- " (u'CS-319', u'PHY-101'),\n",
- " (u'CS-347', u'PHY-101')]"
+ "[('CS-190', 'PHY-101'),\n",
+ " ('CS-315', 'PHY-101'),\n",
+ " ('CS-319', 'PHY-101'),\n",
+ " ('CS-347', 'PHY-101')]"
]
},
- "execution_count": 16,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -1690,10 +1647,8 @@
},
{
"cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 20,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1736,17 +1691,17 @@
"</table>"
],
"text/plain": [
- "[(u'CS-101',),\n",
- " (u'CS-315',),\n",
- " (u'CS-319',),\n",
- " (u'CS-347',),\n",
- " (u'FIN-201',),\n",
- " (u'HIS-351',),\n",
- " (u'MU-199',),\n",
- " (u'PHY-101',)]"
+ "[('CS-101',),\n",
+ " ('CS-315',),\n",
+ " ('CS-319',),\n",
+ " ('CS-347',),\n",
+ " ('FIN-201',),\n",
+ " ('HIS-351',),\n",
+ " ('MU-199',),\n",
+ " ('PHY-101',)]"
]
},
- "execution_count": 17,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -1771,10 +1726,8 @@
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 21,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1822,16 +1775,16 @@
"</table>"
],
"text/plain": [
- "[(u'Comp. Sci.', Decimal('77333.333333333333')),\n",
- " (u'Elec. Eng.', Decimal('80000.000000000000')),\n",
- " (u'History', Decimal('61000.000000000000')),\n",
- " (u'Music', Decimal('40000.000000000000')),\n",
- " (u'Finance', Decimal('85000.000000000000')),\n",
- " (u'Physics', Decimal('91000.000000000000')),\n",
- " (u'Biology', Decimal('72000.000000000000'))]"
+ "[('Comp. Sci.', Decimal('77333.333333333333')),\n",
+ " ('Elec. Eng.', Decimal('80000.000000000000')),\n",
+ " ('History', Decimal('61000.000000000000')),\n",
+ " ('Music', Decimal('40000.000000000000')),\n",
+ " ('Finance', Decimal('85000.000000000000')),\n",
+ " ('Physics', Decimal('91000.000000000000')),\n",
+ " ('Biology', Decimal('72000.000000000000'))]"
]
},
- "execution_count": 18,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -1852,10 +1805,8 @@
},
{
"cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 22,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1879,10 +1830,10 @@
"</table>"
],
"text/plain": [
- "[(u'Comp. Sci.', Decimal('77333.333333333333'))]"
+ "[('Comp. Sci.', Decimal('77333.333333333333'))]"
]
},
- "execution_count": 19,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -1909,10 +1860,8 @@
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 23,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1937,7 +1886,7 @@
"[(Decimal('120000.00'),)]"
]
},
- "execution_count": 20,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -1964,10 +1913,8 @@
},
{
"cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 24,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -2001,11 +1948,11 @@
"</table>"
],
"text/plain": [
- "[(u'10101', u'Srinivasan', u'Comp. Sci.', Decimal('65000.00')),\n",
- " (u'12121', u'Wu', u'Finance', Decimal('90000.00'))]"
+ "[('10101', 'Srinivasan', 'Comp. Sci.', Decimal('65000.00')),\n",
+ " ('12121', 'Wu', 'Finance', Decimal('90000.00'))]"
]
},
- "execution_count": 21,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -2024,85 +1971,95 @@
},
{
"cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 31,
+ "metadata": {},
"outputs": [
{
- "ename": "SyntaxError",
- "evalue": "invalid syntax (<ipython-input-22-c0c17496ea2b>, line 2)",
- "output_type": "error",
- "traceback": [
- "\u001b[0;36m File \u001b[0;32m\"<ipython-input-22-c0c17496ea2b>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m select flightdate, count(*)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "7 rows affected.\n"
]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <tr>\n",
+ " <th>dept_name</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Biology</td>\n",
+ " <td>3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Comp. Sci.</td>\n",
+ " <td>5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Elec. Eng.</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Finance</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>History</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Music</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>Physics</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[('Biology', 3),\n",
+ " ('Comp. Sci.', 5),\n",
+ " ('Elec. Eng.', 1),\n",
+ " ('Finance', 1),\n",
+ " ('History', 1),\n",
+ " ('Music', 1),\n",
+ " ('Physics', 1)]"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "with t as (\n",
- " select flightdate, count(*)\n",
- " from flewon\n",
- " group by flightdate\n",
- ")\n",
- "select flightdate, count\n",
- "from t \n",
- "where t.count = (select max(count) from t where count < (select max(count) from t));"
+ "%%sql \n",
+ "SELECT dept_name, count(course_id)\n",
+ " FROM course \n",
+ "GROUP BY dept_name\n",
+ "ORDER BY dept_name"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 2",
+ "display_name": "Python 3",
"language": "python",
- "name": "python2"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 2
+ "version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.12"
+ "pygments_lexer": "ipython3",
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/03-SQL-Different-Types-of-Joins.ipynb b/jupyter/03-SQL-Different-Types-of-Joins.ipynb
index 7ccfd3f..812f9fd 100644
--- a/jupyter/03-SQL-Different-Types-of-Joins.ipynb
+++ b/jupyter/03-SQL-Different-Types-of-Joins.ipynb
@@ -9,32 +9,9 @@
},
{
"cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/usr/local/lib/python2.7/dist-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated. You should import from traitlets.config instead.\n",
- " \"You should import from traitlets.config instead.\", ShimWarning)\n",
- "/usr/local/lib/python2.7/dist-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n",
- " warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "u'Connected: vagrant@university'"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"%load_ext sql\n",
"%sql postgresql://vagrant:vagrant@localhost/university"
@@ -42,10 +19,8 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 2,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -68,7 +43,7 @@
"[]"
]
},
- "execution_count": 4,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -97,10 +72,8 @@
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 3,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -194,21 +167,21 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'alpha', 10, 20, u'two'),\n",
- " (u'alpha', 10, 40, u'three'),\n",
- " (u'beta', 20, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'beta', 20, 40, u'three'),\n",
- " (u'gamma', 20, 10, u'one'),\n",
- " (u'gamma', 20, 20, u'two'),\n",
- " (u'gamma', 20, 40, u'three'),\n",
- " (u'rho', 30, 10, u'one'),\n",
- " (u'rho', 30, 20, u'two'),\n",
- " (u'rho', 30, 40, u'three')]"
+ "[('alpha', 10, 10, 'one'),\n",
+ " ('alpha', 10, 20, 'two'),\n",
+ " ('alpha', 10, 40, 'three'),\n",
+ " ('beta', 20, 10, 'one'),\n",
+ " ('beta', 20, 20, 'two'),\n",
+ " ('beta', 20, 40, 'three'),\n",
+ " ('gamma', 20, 10, 'one'),\n",
+ " ('gamma', 20, 20, 'two'),\n",
+ " ('gamma', 20, 40, 'three'),\n",
+ " ('rho', 30, 10, 'one'),\n",
+ " ('rho', 30, 20, 'two'),\n",
+ " ('rho', 30, 40, 'three')]"
]
},
- "execution_count": 5,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -219,10 +192,8 @@
},
{
"cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 4,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -438,33 +409,33 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one', u'one', u'alpha'),\n",
- " (u'alpha', 10, 20, u'two', u'one', u'alpha'),\n",
- " (u'alpha', 10, 40, u'three', u'one', u'alpha'),\n",
- " (u'alpha', 10, 10, u'one', u'two', u'beta'),\n",
- " (u'alpha', 10, 20, u'two', u'two', u'beta'),\n",
- " (u'alpha', 10, 40, u'three', u'two', u'beta'),\n",
- " (u'beta', 20, 10, u'one', u'one', u'alpha'),\n",
- " (u'beta', 20, 20, u'two', u'one', u'alpha'),\n",
- " (u'beta', 20, 40, u'three', u'one', u'alpha'),\n",
- " (u'beta', 20, 10, u'one', u'two', u'beta'),\n",
- " (u'beta', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'beta', 20, 40, u'three', u'two', u'beta'),\n",
- " (u'gamma', 20, 10, u'one', u'one', u'alpha'),\n",
- " (u'gamma', 20, 20, u'two', u'one', u'alpha'),\n",
- " (u'gamma', 20, 40, u'three', u'one', u'alpha'),\n",
- " (u'gamma', 20, 10, u'one', u'two', u'beta'),\n",
- " (u'gamma', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'gamma', 20, 40, u'three', u'two', u'beta'),\n",
- " (u'rho', 30, 10, u'one', u'one', u'alpha'),\n",
- " (u'rho', 30, 20, u'two', u'one', u'alpha'),\n",
- " (u'rho', 30, 40, u'three', u'one', u'alpha'),\n",
- " (u'rho', 30, 10, u'one', u'two', u'beta'),\n",
- " (u'rho', 30, 20, u'two', u'two', u'beta'),\n",
- " (u'rho', 30, 40, u'three', u'two', u'beta')]"
+ "[('alpha', 10, 10, 'one', 'one', 'alpha'),\n",
+ " ('alpha', 10, 20, 'two', 'one', 'alpha'),\n",
+ " ('alpha', 10, 40, 'three', 'one', 'alpha'),\n",
+ " ('alpha', 10, 10, 'one', 'two', 'beta'),\n",
+ " ('alpha', 10, 20, 'two', 'two', 'beta'),\n",
+ " ('alpha', 10, 40, 'three', 'two', 'beta'),\n",
+ " ('beta', 20, 10, 'one', 'one', 'alpha'),\n",
+ " ('beta', 20, 20, 'two', 'one', 'alpha'),\n",
+ " ('beta', 20, 40, 'three', 'one', 'alpha'),\n",
+ " ('beta', 20, 10, 'one', 'two', 'beta'),\n",
+ " ('beta', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('beta', 20, 40, 'three', 'two', 'beta'),\n",
+ " ('gamma', 20, 10, 'one', 'one', 'alpha'),\n",
+ " ('gamma', 20, 20, 'two', 'one', 'alpha'),\n",
+ " ('gamma', 20, 40, 'three', 'one', 'alpha'),\n",
+ " ('gamma', 20, 10, 'one', 'two', 'beta'),\n",
+ " ('gamma', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('gamma', 20, 40, 'three', 'two', 'beta'),\n",
+ " ('rho', 30, 10, 'one', 'one', 'alpha'),\n",
+ " ('rho', 30, 20, 'two', 'one', 'alpha'),\n",
+ " ('rho', 30, 40, 'three', 'one', 'alpha'),\n",
+ " ('rho', 30, 10, 'one', 'two', 'beta'),\n",
+ " ('rho', 30, 20, 'two', 'two', 'beta'),\n",
+ " ('rho', 30, 40, 'three', 'two', 'beta')]"
]
},
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -483,10 +454,8 @@
},
{
"cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 5,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -526,12 +495,10 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two')]"
+ "[('alpha', 10, 10, 'one'), ('beta', 20, 20, 'two'), ('gamma', 20, 20, 'two')]"
]
},
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -542,10 +509,8 @@
},
{
"cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 6,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -593,12 +558,12 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one', u'one', u'alpha'),\n",
- " (u'beta', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'gamma', 20, 20, u'two', u'two', u'beta')]"
+ "[('alpha', 10, 10, 'one', 'one', 'alpha'),\n",
+ " ('beta', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('gamma', 20, 20, 'two', 'two', 'beta')]"
]
},
- "execution_count": 8,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -609,10 +574,8 @@
},
{
"cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 7,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -664,14 +627,14 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 20, u'two'),\n",
- " (u'alpha', 10, 40, u'three'),\n",
- " (u'beta', 20, 40, u'three'),\n",
- " (u'gamma', 20, 40, u'three'),\n",
- " (u'rho', 30, 40, u'three')]"
+ "[('alpha', 10, 20, 'two'),\n",
+ " ('alpha', 10, 40, 'three'),\n",
+ " ('beta', 20, 40, 'three'),\n",
+ " ('gamma', 20, 40, 'three'),\n",
+ " ('rho', 30, 40, 'three')]"
]
},
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -682,10 +645,8 @@
},
{
"cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 8,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -725,12 +686,10 @@
"</table>"
],
"text/plain": [
- "[(u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two'),\n",
- " (u'rho', 30, 10, u'one')]"
+ "[('beta', 20, 20, 'two'), ('gamma', 20, 20, 'two'), ('rho', 30, 10, 'one')]"
]
},
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -749,10 +708,8 @@
},
{
"cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 9,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -792,12 +749,10 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two')]"
+ "[('alpha', 10, 10, 'one'), ('beta', 20, 20, 'two'), ('gamma', 20, 20, 'two')]"
]
},
- "execution_count": 11,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -808,10 +763,8 @@
},
{
"cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 10,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -859,12 +812,12 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one', u'one', u'alpha'),\n",
- " (u'beta', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'gamma', 20, 20, u'two', u'two', u'beta')]"
+ "[('alpha', 10, 10, 'one', 'one', 'alpha'),\n",
+ " ('beta', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('gamma', 20, 20, 'two', 'two', 'beta')]"
]
},
- "execution_count": 12,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -885,10 +838,8 @@
},
{
"cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 11,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -924,10 +875,10 @@
"</table>"
],
"text/plain": [
- "[(10, u'alpha', u'one'), (20, u'beta', u'two'), (20, u'gamma', u'two')]"
+ "[(10, 'alpha', 'one'), (20, 'beta', 'two'), (20, 'gamma', 'two')]"
]
},
- "execution_count": 13,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -938,10 +889,8 @@
},
{
"cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 12,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -981,12 +930,12 @@
"</table>"
],
"text/plain": [
- "[(u'one', 10, u'alpha', u'alpha'),\n",
- " (u'two', 20, u'beta', u'beta'),\n",
- " (u'two', 20, u'gamma', u'beta')]"
+ "[('one', 10, 'alpha', 'alpha'),\n",
+ " ('two', 20, 'beta', 'beta'),\n",
+ " ('two', 20, 'gamma', 'beta')]"
]
},
- "execution_count": 14,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -1011,10 +960,8 @@
},
{
"cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 13,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1060,13 +1007,13 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two'),\n",
- " (u'rho', 30, None, None)]"
+ "[('alpha', 10, 10, 'one'),\n",
+ " ('beta', 20, 20, 'two'),\n",
+ " ('gamma', 20, 20, 'two'),\n",
+ " ('rho', 30, None, None)]"
]
},
- "execution_count": 15,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -1084,10 +1031,8 @@
},
{
"cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 14,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1133,13 +1078,13 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two'),\n",
- " (None, None, 40, u'three')]"
+ "[('alpha', 10, 10, 'one'),\n",
+ " ('beta', 20, 20, 'two'),\n",
+ " ('gamma', 20, 20, 'two'),\n",
+ " (None, None, 40, 'three')]"
]
},
- "execution_count": 16,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -1150,10 +1095,8 @@
},
{
"cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 15,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1205,14 +1148,14 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one'),\n",
- " (u'beta', 20, 20, u'two'),\n",
- " (u'gamma', 20, 20, u'two'),\n",
- " (u'rho', 30, None, None),\n",
- " (None, None, 40, u'three')]"
+ "[('alpha', 10, 10, 'one'),\n",
+ " ('beta', 20, 20, 'two'),\n",
+ " ('gamma', 20, 20, 'two'),\n",
+ " ('rho', 30, None, None),\n",
+ " (None, None, 40, 'three')]"
]
},
- "execution_count": 17,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -1223,9 +1166,8 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 16,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
@@ -1291,14 +1233,14 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10, 10, u'one', u'one', u'alpha'),\n",
- " (None, None, 40, u'three', None, None),\n",
- " (u'beta', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'gamma', 20, 20, u'two', u'two', u'beta'),\n",
- " (u'rho', 30, None, None, None, None)]"
+ "[('alpha', 10, 10, 'one', 'one', 'alpha'),\n",
+ " (None, None, 40, 'three', None, None),\n",
+ " ('beta', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('gamma', 20, 20, 'two', 'two', 'beta'),\n",
+ " ('rho', 30, None, None, None, None)]"
]
},
- "execution_count": 18,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -1319,10 +1261,8 @@
},
{
"cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 17,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1354,10 +1294,10 @@
"</table>"
],
"text/plain": [
- "[(u'alpha', 10), (u'beta', 20), (u'gamma', 20)]"
+ "[('alpha', 10), ('beta', 20), ('gamma', 20)]"
]
},
- "execution_count": 19,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -1378,10 +1318,8 @@
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 18,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1405,10 +1343,10 @@
"</table>"
],
"text/plain": [
- "[(u'rho', 30)]"
+ "[('rho', 30)]"
]
},
- "execution_count": 20,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -1426,34 +1364,25 @@
"\n",
"<center><img src=\"https://github.com/umddb/cmsc424-fall2016/raw/master/project0/joins.jpg\" width=600px></center>"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 2",
+ "display_name": "Python 3",
"language": "python",
- "name": "python2"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 2
+ "version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.6"
+ "pygments_lexer": "ipython3",
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/04-SQL-NULLs-and-UNKNOWN.ipynb b/jupyter/04-SQL-NULLs-and-UNKNOWN.ipynb
index e3fa547..5a71856 100644
--- a/jupyter/04-SQL-NULLs-and-UNKNOWN.ipynb
+++ b/jupyter/04-SQL-NULLs-and-UNKNOWN.ipynb
@@ -11,32 +11,9 @@
},
{
"cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/usr/local/lib/python2.7/dist-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated. You should import from traitlets.config instead.\n",
- " \"You should import from traitlets.config instead.\", ShimWarning)\n",
- "/usr/local/lib/python2.7/dist-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n",
- " warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "u'Connected: vagrant@university'"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"%load_ext sql\n",
"%sql postgresql://vagrant:vagrant@localhost/university"
@@ -45,9 +22,7 @@
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -120,9 +95,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -198,9 +171,7 @@
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -272,7 +243,6 @@
"cell_type": "code",
"execution_count": 5,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
@@ -320,9 +290,7 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -357,9 +325,7 @@
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -409,9 +375,7 @@
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -466,9 +430,7 @@
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -490,7 +452,7 @@
"</table>"
],
"text/plain": [
- "[(6L,)]"
+ "[(6,)]"
]
},
"execution_count": 9,
@@ -505,9 +467,7 @@
{
"cell_type": "code",
"execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -529,7 +489,7 @@
"</table>"
],
"text/plain": [
- "[(4L,)]"
+ "[(4,)]"
]
},
"execution_count": 10,
@@ -545,9 +505,7 @@
{
"cell_type": "code",
"execution_count": 11,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -572,7 +530,7 @@
"</table>"
],
"text/plain": [
- "[(2L,)]"
+ "[(2,)]"
]
},
"execution_count": 11,
@@ -591,9 +549,7 @@
{
"cell_type": "code",
"execution_count": 12,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -615,7 +571,7 @@
"</table>"
],
"text/plain": [
- "[(50L,)]"
+ "[(50,)]"
]
},
"execution_count": 12,
@@ -631,9 +587,7 @@
{
"cell_type": "code",
"execution_count": 13,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -680,9 +634,7 @@
{
"cell_type": "code",
"execution_count": 14,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -714,7 +666,7 @@
"</table>"
],
"text/plain": [
- "[(None, 50L), (20, None), (10, 30L)]"
+ "[(None, 50), (20, None), (10, 30)]"
]
},
"execution_count": 14,
@@ -735,10 +687,8 @@
},
{
"cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 16,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -770,10 +720,10 @@
"</table>"
],
"text/plain": [
- "[(None, 2L), (20, 1L), (10, 3L)]"
+ "[(None, 2), (20, 1), (10, 3)]"
]
},
- "execution_count": 15,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -791,9 +741,8 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 17,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
@@ -832,7 +781,7 @@
" (10, Decimal('15.0000000000000000'))]"
]
},
- "execution_count": 16,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -853,10 +802,8 @@
},
{
"cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 18,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -899,7 +846,7 @@
"[(10, 10, 10, None), (10, 20, 10, None), (10, None, 10, None)]"
]
},
- "execution_count": 17,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -917,10 +864,8 @@
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 19,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1021,7 +966,7 @@
" (20, None, None, None)]"
]
},
- "execution_count": 18,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -1029,34 +974,25 @@
"source": [
"%sql select * from R, S where R.i = S.i or R.i is null or S.i is null;"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 2",
+ "display_name": "Python 3",
"language": "python",
- "name": "python2"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 2
+ "version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.6"
+ "pygments_lexer": "ipython3",
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/05-Basic-Relational-Algebra.ipynb b/jupyter/05-Basic-Relational-Algebra.ipynb
index 57705e8..f57d6d4 100644
--- a/jupyter/05-Basic-Relational-Algebra.ipynb
+++ b/jupyter/05-Basic-Relational-Algebra.ipynb
@@ -14,9 +14,7 @@
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"import sys\n",
@@ -34,9 +32,7 @@
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -73,9 +69,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -109,9 +103,7 @@
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -143,9 +135,7 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -179,9 +169,7 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -207,9 +195,7 @@
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -233,9 +219,7 @@
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -268,9 +252,7 @@
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -303,9 +285,7 @@
{
"cell_type": "code",
"execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -325,34 +305,25 @@
"r4 = join(r, s, \"r.C\", \"==\", \"s.C\")\n",
"DisplayMultipleTables([r, s, r4])"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 2",
+ "display_name": "Python 3",
"language": "python",
- "name": "python2"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 2
+ "version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.6"
+ "pygments_lexer": "ipython3",
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/06-SQL-INDEXES-AND-EXPLAIN.ipynb b/jupyter/06-SQL-INDEXES-AND-EXPLAIN.ipynb
index 9080e39..9196c93 100644
--- a/jupyter/06-SQL-INDEXES-AND-EXPLAIN.ipynb
+++ b/jupyter/06-SQL-INDEXES-AND-EXPLAIN.ipynb
@@ -21,30 +21,9 @@
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "u'Connected: vagrant@university'"
- ]
- },
- "execution_count": 20,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"%load_ext sql\n",
"%sql postgresql://vagrant:vagrant@localhost/university"
@@ -59,10 +38,8 @@
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 2,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -77,7 +54,7 @@
"[]"
]
},
- "execution_count": 5,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -106,10 +83,8 @@
},
{
"cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 3,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -126,31 +101,31 @@
" <th>QUERY PLAN</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>Hash Join (cost=2.12..8.88 rows=200 width=180)</td>\n",
+ " <td>Hash Join (cost=1.27..15.86 rows=19 width=318)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on course (cost=0.00..4.00 rows=200 width=35)</td>\n",
+ " <td> -> Seq Scan on course (cost=0.00..13.20 rows=320 width=222)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Hash (cost=1.50..1.50 rows=50 width=154)</td>\n",
+ " <td> -> Hash (cost=1.12..1.12 rows=12 width=154)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on instructor (cost=0.00..1.50 rows=50 width=154)</td>\n",
+ " <td> -> Seq Scan on instructor (cost=0.00..1.12 rows=12 width=154)</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'Hash Join (cost=2.12..8.88 rows=200 width=180)',),\n",
- " (u' Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)',),\n",
- " (u' -> Seq Scan on course (cost=0.00..4.00 rows=200 width=35)',),\n",
- " (u' -> Hash (cost=1.50..1.50 rows=50 width=154)',),\n",
- " (u' -> Seq Scan on instructor (cost=0.00..1.50 rows=50 width=154)',)]"
+ "[('Hash Join (cost=1.27..15.86 rows=19 width=318)',),\n",
+ " (' Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)',),\n",
+ " (' -> Seq Scan on course (cost=0.00..13.20 rows=320 width=222)',),\n",
+ " (' -> Hash (cost=1.12..1.12 rows=12 width=154)',),\n",
+ " (' -> Seq Scan on instructor (cost=0.00..1.12 rows=12 width=154)',)]"
]
},
- "execution_count": 22,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -181,10 +156,8 @@
},
{
"cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 4,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -201,19 +174,19 @@
" <th>QUERY PLAN</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>Seq Scan on instructor (cost=0.00..1.62 rows=1 width=154)</td>\n",
+ " <td>Seq Scan on instructor (cost=0.00..1.15 rows=1 width=154)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> Filter: ((id)::text = '4034'::text)</td>\n",
+ " <td> Filter: ((id)::text = '4034'::text)</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'Seq Scan on instructor (cost=0.00..1.62 rows=1 width=154)',),\n",
- " (u\" Filter: ((id)::text = '4034'::text)\",)]"
+ "[('Seq Scan on instructor (cost=0.00..1.15 rows=1 width=154)',),\n",
+ " (\" Filter: ((id)::text = '4034'::text)\",)]"
]
},
- "execution_count": 9,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -233,10 +206,8 @@
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 5,
+ "metadata": {},
"outputs": [],
"source": [
"%%capture v\n",
@@ -247,10 +218,8 @@
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 6,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -265,7 +234,7 @@
"[]"
]
},
- "execution_count": 20,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -276,10 +245,8 @@
},
{
"cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 7,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -304,11 +271,11 @@
"</table>"
],
"text/plain": [
- "[(u'Index Scan using large_i_index on large (cost=0.29..8.30 rows=1 width=8)',),\n",
- " (u' Index Cond: (i = 500)',)]"
+ "[('Index Scan using large_i_index on large (cost=0.29..8.30 rows=1 width=8)',),\n",
+ " (' Index Cond: (i = 500)',)]"
]
},
- "execution_count": 21,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -333,16 +300,14 @@
},
{
"cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 8,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9 rows affected.\n"
+ "10 rows affected.\n"
]
},
{
@@ -353,7 +318,7 @@
" <th>QUERY PLAN</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>CTE Scan on temp (cost=1200.00..1245.00 rows=667 width=90)</td>\n",
+ " <td>CTE Scan on temp (cost=48.14..58.26 rows=150 width=90)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Filter: (c > 25)</td>\n",
@@ -362,38 +327,42 @@
" <td> CTE temp</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> HashAggregate (cost=1180.00..1200.00 rows=2000 width=15)</td>\n",
+ " <td> -> HashAggregate (cost=43.64..48.14 rows=450 width=90)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Hash Join (cost=60.00..1030.00 rows=30000 width=15)</td>\n",
+ " <td> Group Key: s.id</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td> -> Hash Join (cost=20.12..41.29 rows=470 width=116)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Hash Cond: ((t.id)::text = (s.id)::text)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on takes t (cost=0.00..520.00 rows=30000 width=9)</td>\n",
+ " <td> -> Seq Scan on takes t (cost=0.00..14.70 rows=470 width=58)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Hash (cost=35.00..35.00 rows=2000 width=11)</td>\n",
+ " <td> -> Hash (cost=14.50..14.50 rows=450 width=82)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on student s (cost=0.00..35.00 rows=2000 width=11)</td>\n",
+ " <td> -> Seq Scan on student s (cost=0.00..14.50 rows=450 width=82)</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'CTE Scan on temp (cost=1200.00..1245.00 rows=667 width=90)',),\n",
- " (u' Filter: (c > 25)',),\n",
- " (u' CTE temp',),\n",
- " (u' -> HashAggregate (cost=1180.00..1200.00 rows=2000 width=15)',),\n",
- " (u' -> Hash Join (cost=60.00..1030.00 rows=30000 width=15)',),\n",
- " (u' Hash Cond: ((t.id)::text = (s.id)::text)',),\n",
- " (u' -> Seq Scan on takes t (cost=0.00..520.00 rows=30000 width=9)',),\n",
- " (u' -> Hash (cost=35.00..35.00 rows=2000 width=11)',),\n",
- " (u' -> Seq Scan on student s (cost=0.00..35.00 rows=2000 width=11)',)]"
+ "[('CTE Scan on temp (cost=48.14..58.26 rows=150 width=90)',),\n",
+ " (' Filter: (c > 25)',),\n",
+ " (' CTE temp',),\n",
+ " (' -> HashAggregate (cost=43.64..48.14 rows=450 width=90)',),\n",
+ " (' Group Key: s.id',),\n",
+ " (' -> Hash Join (cost=20.12..41.29 rows=470 width=116)',),\n",
+ " (' Hash Cond: ((t.id)::text = (s.id)::text)',),\n",
+ " (' -> Seq Scan on takes t (cost=0.00..14.70 rows=470 width=58)',),\n",
+ " (' -> Hash (cost=14.50..14.50 rows=450 width=82)',),\n",
+ " (' -> Seq Scan on student s (cost=0.00..14.50 rows=450 width=82)',)]"
]
},
- "execution_count": 16,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -447,16 +416,14 @@
},
{
"cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 9,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "7 rows affected.\n"
+ "8 rows affected.\n"
]
},
{
@@ -467,39 +434,43 @@
" <th>QUERY PLAN</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>Hash Join (cost=2.12..8.88 rows=200 width=180) (actual time=0.029..0.145 rows=483 loops=1)</td>\n",
+ " <td>Hash Join (cost=1.27..15.86 rows=19 width=318) (actual time=0.051..0.117 rows=26 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
" <td> Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on course (cost=0.00..4.00 rows=200 width=35) (actual time=0.005..0.015 rows=200 loops=1)</td>\n",
+ " <td> -> Seq Scan on course (cost=0.00..13.20 rows=320 width=222) (actual time=0.017..0.018 rows=13 loops=1)</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td> -> Hash (cost=1.12..1.12 rows=12 width=154) (actual time=0.019..0.019 rows=12 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Hash (cost=1.50..1.50 rows=50 width=154) (actual time=0.018..0.018 rows=50 loops=1)</td>\n",
+ " <td> Buckets: 1024 Batches: 1 Memory Usage: 9kB</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> Buckets: 1024 Batches: 1 Memory Usage: 4kB</td>\n",
+ " <td> -> Seq Scan on instructor (cost=0.00..1.12 rows=12 width=154) (actual time=0.004..0.006 rows=12 loops=1)</td>\n",
" </tr>\n",
" <tr>\n",
- " <td> -> Seq Scan on instructor (cost=0.00..1.50 rows=50 width=154) (actual time=0.002..0.009 rows=50 loops=1)</td>\n",
+ " <td>Planning time: 0.227 ms</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>Total runtime: 0.169 ms</td>\n",
+ " <td>Execution time: 0.157 ms</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'Hash Join (cost=2.12..8.88 rows=200 width=180) (actual time=0.029..0.145 rows=483 loops=1)',),\n",
- " (u' Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)',),\n",
- " (u' -> Seq Scan on course (cost=0.00..4.00 rows=200 width=35) (actual time=0.005..0.015 rows=200 loops=1)',),\n",
- " (u' -> Hash (cost=1.50..1.50 rows=50 width=154) (actual time=0.018..0.018 rows=50 loops=1)',),\n",
- " (u' Buckets: 1024 Batches: 1 Memory Usage: 4kB',),\n",
- " (u' -> Seq Scan on instructor (cost=0.00..1.50 rows=50 width=154) (actual time=0.002..0.009 rows=50 loops=1)',),\n",
- " (u'Total runtime: 0.169 ms',)]"
+ "[('Hash Join (cost=1.27..15.86 rows=19 width=318) (actual time=0.051..0.117 rows=26 loops=1)',),\n",
+ " (' Hash Cond: ((course.dept_name)::text = (instructor.dept_name)::text)',),\n",
+ " (' -> Seq Scan on course (cost=0.00..13.20 rows=320 width=222) (actual time=0.017..0.018 rows=13 loops=1)',),\n",
+ " (' -> Hash (cost=1.12..1.12 rows=12 width=154) (actual time=0.019..0.019 rows=12 loops=1)',),\n",
+ " (' Buckets: 1024 Batches: 1 Memory Usage: 9kB',),\n",
+ " (' -> Seq Scan on instructor (cost=0.00..1.12 rows=12 width=154) (actual time=0.004..0.006 rows=12 loops=1)',),\n",
+ " ('Planning time: 0.227 ms',),\n",
+ " ('Execution time: 0.157 ms',)]"
]
},
- "execution_count": 24,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -521,10 +492,8 @@
},
{
"cell_type": "code",
- "execution_count": 26,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 10,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -541,15 +510,15 @@
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
- " <td>483</td>\n",
+ " <td>26</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(483L,)]"
+ "[(26,)]"
]
},
- "execution_count": 26,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -557,34 +526,25 @@
"source": [
"%sql select count(*) from instructor natural join course;"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 2",
+ "display_name": "Python 3",
"language": "python",
- "name": "python2"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 2
+ "version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.6"
+ "pygments_lexer": "ipython3",
+ "version": "3.6.2"
}
},
"nbformat": 4,
diff --git a/jupyter/07-Relational-Database-Design-Normalization.ipynb b/jupyter/07-Relational-Database-Design-Normalization.ipynb
index 02b5eab..073e104 100644
--- a/jupyter/07-Relational-Database-Design-Normalization.ipynb
+++ b/jupyter/07-Relational-Database-Design-Normalization.ipynb
@@ -19,10 +19,13 @@
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"from itertools import chain, combinations\n",
+ "from functools import cmp_to_key\n",
"\n",
"# A class to encapsulate a Functional Dependency, and some helper functions\n",
"class FD:\n",
@@ -37,13 +40,20 @@
" return hash(self.lhs) * hash(self.rhs)\n",
" def isTrivial(self):\n",
" \"\"\"A functional dependency is trivial if the right hand side is a subset of the left h.s.\"\"\"\n",
- " return self.lhs >= self.rhs\n"
+ " return self.lhs >= self.rhs\n",
+ "\n",
+ " \n",
+ "# implement the old-school cmp in python3 \n",
+ "def cmp(a,b):\n",
+ " return (a > b) - (a < b)"
]
},
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"# The following is not really needed for normalization, but may be useful to get intuitions about FDs\n",
@@ -116,7 +126,9 @@
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"# We need to construct powersets quite frequently.\n",
@@ -135,7 +147,9 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def applyreflexivity(R):\n",
@@ -154,7 +168,9 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def applyaugmentation(F, PW, printflag):\n",
@@ -177,7 +193,9 @@
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def applytransitivity(F, printflag):\n",
@@ -199,7 +217,9 @@
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def findClosure(R, F, printflag = False):\n",
@@ -243,7 +263,7 @@
" \"\"\"Candidate keys are minimal -- go over the keys increasing order by size, and add if no subset is present\"\"\"\n",
" keys = findKeys(R, FClosure)\n",
" ckeys = set()\n",
- " for k in sorted(keys, lambda x, y: cmp(len(x), len(y))):\n",
+ " for k in sorted(keys, key=cmp_to_key(lambda x,y: cmp(len(x), len(y)))):\n",
" dontadd = False\n",
" for ck in ckeys:\n",
" if(ck <= k):\n",
@@ -283,7 +303,7 @@
"\n",
"def findSmallestViolatingFD(R, FClosure, keys):\n",
" \"\"\"Same as above, but finds a small FD that violates\"\"\"\n",
- " for fd in sorted(FClosure, lambda x, y: cmp( (len(x.lhs), len(x.rhs)), (len(y.lhs), len(y.rhs)))):\n",
+ " for fd in sorted(FClosure, key=cmp_to_key(lambda x,y: cmp( (len(x.lhs), len(x.rhs)), (len(y.lhs), len(y.rhs))))):\n",
" if (not fd.isTrivial()) and (fd.lhs not in keys):\n",
" return fd"
]
@@ -299,7 +319,9 @@
{
"cell_type": "code",
"execution_count": 11,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"def DecomposeUsingFD(R, FClosure, fd):\n",
@@ -344,8 +366,10 @@
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {},
+ "execution_count": 12,
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"R = \"ABCD\"\n",
@@ -361,90 +385,90 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "D -> DB\n",
- "DCA -> DBA\n",
- "CA -> BCA\n",
+ "CB -> DA\n",
+ "CDA -> B\n",
+ "A -> B\n",
+ "CA -> CB\n",
+ "CB -> CA\n",
+ "DC -> CDB\n",
"CB -> A\n",
- "D -> B\n",
- "DCA -> BCA\n",
- "BCA -> DCA\n",
- "BCA -> DB\n",
- "CB -> DBA\n",
- "DC -> DBCA\n",
- "ACB -> D\n",
+ "D -> DBA\n",
+ "CBA -> DB\n",
+ "CDA -> CBA\n",
+ "CBA -> DAC\n",
+ "CA -> D\n",
+ "CDB -> A\n",
+ "DC -> CB\n",
+ "CB -> DC\n",
+ "CDA -> CDB\n",
+ "CDB -> CDA\n",
+ "CA -> DCA\n",
+ "CBA -> DBAC\n",
"D -> DA\n",
- "DA -> B\n",
- "DCB -> DCA\n",
- "DCA -> DCB\n",
- "DB -> A\n",
- "DCB -> DAB\n",
- "DC -> A\n",
- "DC -> DB\n",
- "DC -> AB\n",
- "DCB -> DA\n",
- "CB -> DB\n",
- "BCA -> DAB\n",
- "DCA -> BA\n",
+ "DC -> B\n",
+ "CA -> CBA\n",
"DA -> BA\n",
- "CB -> ACB\n",
- "CB -> CA\n",
- "CA -> CB\n",
- "DC -> DCB\n",
- "CA -> BA\n",
- "DA -> DBA\n",
- "BCA -> DA\n",
- "D -> DBA\n",
+ "CA -> DBCA\n",
+ "CD -> A\n",
+ "CBA -> DC\n",
+ "DC -> CBA\n",
+ "D -> BA\n",
+ "CDA -> BA\n",
+ "DC -> BA\n",
+ "CA -> DBA\n",
+ "DC -> DB\n",
+ "D -> DB\n",
+ "CB -> DBA\n",
"CA -> B\n",
- "CB -> D\n",
- "DCB -> ACB\n",
- "BCA -> DCB\n",
- "CB -> DA\n",
- "DC -> B\n",
- "DCB -> A\n",
- "DC -> DA\n",
- "BCA -> DC\n",
- "DC -> BCA\n",
- "DB -> AB\n",
- "DB -> DAB\n",
- "CB -> DCB\n",
- "CA -> DB\n",
- "CA -> DCA\n",
- "DCA -> DB\n",
+ "CB -> DB\n",
+ "CDA -> CDBA\n",
+ "CDB -> DA\n",
"D -> A\n",
- "CA -> D\n",
- "DCA -> CB\n",
- "CB -> DCA\n",
+ "DC -> CDA\n",
+ "DB -> BA\n",
+ "CB -> CBA\n",
+ "CB -> DBCA\n",
+ "DA -> B\n",
"DA -> DB\n",
- "DC -> DCA\n",
"DB -> DA\n",
- "A -> B\n",
- "DCA -> DBCA\n",
- "CA -> DBA\n",
- "DCB -> DACB\n",
- "D -> BA\n",
- "BCA -> DACB\n",
- "CA -> DBCA\n",
- "CB -> AB\n",
+ "CA -> BA\n",
+ "CD -> DA\n",
+ "CDA -> DBA\n",
+ "D -> B\n",
+ "CBA -> DBA\n",
+ "DB -> DBA\n",
+ "CDA -> DB\n",
+ "DBC -> CBA\n",
+ "CDB -> CA\n",
+ "CBA -> DBC\n",
+ "CA -> DBC\n",
+ "DB -> A\n",
+ "CA -> DB\n",
+ "DC -> CDBA\n",
+ "CB -> BA\n",
+ "DA -> DBA\n",
+ "CB -> DBC\n",
"A -> BA\n",
- "DC -> CB\n",
- "CB -> DC\n",
- "CB -> DBCA\n",
- "CA -> DA\n",
- "DCB -> CA\n",
- "CA -> DCB\n",
- "DCA -> B\n",
+ "DC -> DBA\n",
+ "CBA -> D\n",
+ "DBC -> CDBA\n",
"DC -> CA\n",
- "DCB -> AB\n",
"CA -> DC\n",
- "DC -> DBA\n",
+ "CB -> D\n",
+ "CDB -> BA\n",
+ "CBA -> DA\n",
+ "CDB -> DBA\n",
+ "CA -> DA\n",
+ "CDA -> CB\n",
+ "CB -> CDA\n",
"Keys are:\n",
- "BCA\n",
- "CA\n",
- "DBCA\n",
- "DCB\n",
+ "DBC\n",
"CB\n",
- "DCA\n",
- "DC\n"
+ "DC\n",
+ "CDBA\n",
+ "CA\n",
+ "CBA\n",
+ "CDA\n"
]
}
],
@@ -472,44 +496,67 @@
"metadata": {},
"outputs": [
{
- "ename": "TypeError",
- "evalue": "must use keyword argument for key function",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-14-f976dc9cf4d4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcandidatekeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfindCandidateKeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"Candidate Keys are:\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcandidatekeys\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m<ipython-input-9-3a26a87149f6>\u001b[0m in \u001b[0;36mfindCandidateKeys\u001b[0;34m(R, FClosure)\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mkeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfindKeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFClosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mckeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mcmp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0mdontadd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mck\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mckeys\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;31mTypeError\u001b[0m: must use keyword argument for key function"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Candidate Keys are:\n",
+ "CA\n",
+ "CB\n",
+ "DC\n"
]
}
],
"source": [
"candidatekeys = findCandidateKeys(R, Fclosure)\n",
- "print (\"Candidate Keys are:\")\n",
+ "print(\"Candidate Keys are:\")\n",
"for i in candidatekeys:\n",
- " print (\"\".join(i))"
+ " print(\"\".join(i))"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Checking if the schema is in BCNF\n",
+ "Decomposing using B -> C into relations CB and DBA\n"
+ ]
+ }
+ ],
"source": [
"print (\"Checking if the schema is in BCNF\")\n",
"if isInBCNF(R, Fclosure, keys):\n",
" print (\"The schema is in BCNF\")\n",
"\n",
"(R1, R2, F1Closure, F2Closure) = DecomposeUsingFD(R, Fclosure, FD('B', 'C'))\n",
- "print \"Decomposing using \" + str(FD('B', 'C')) + \" into relations \" + \"\".join(R1) + \" and \" + \"\".join(R2)"
+ "print(\"Decomposing using \" + str(FD('B', 'C')) + \" into relations \" + \"\".join(R1) + \" and \" + \"\".join(R2))"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "-------------- Doing a full BCNF Decompisition -------\n",
+ "ABCD is not in BCNF\n",
+ "Decomposing ABCD using A -> B into relations BA and CDA\n",
+ "BA is in BCNF\n",
+ "CDA is not in BCNF\n",
+ "Decomposing CDA using D -> A into relations DA and CD\n",
+ "DA is in BCNF\n",
+ "CD is in BCNF\n",
+ "------------------------------------------------------\n"
+ ]
+ }
+ ],
"source": [
"print (\"-------------- Doing a full BCNF Decompisition -------\")\n",
"BCNFDecomposition(R, Fclosure)\n",
@@ -526,9 +573,34 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Candidate Keys are:\n",
+ "DE\n",
+ "Checking if the schema is in BCNF\n",
+ "-------------- NO: Doing a full BCNF Decompisition -------\n",
+ "ABCDEH is not in BCNF\n",
+ "Decomposing ABCDEH using A -> B into relations BA and CADEH\n",
+ "BA is in BCNF\n",
+ "CADEH is not in BCNF\n",
+ "Decomposing CADEH using E -> A into relations EA and CDEH\n",
+ "EA is in BCNF\n",
+ "CDEH is not in BCNF\n",
+ "Decomposing CDEH using E -> H into relations EH and CDE\n",
+ "EH is in BCNF\n",
+ "CDE is not in BCNF\n",
+ "Decomposing CDE using E -> C into relations CE and DE\n",
+ "CE is in BCNF\n",
+ "DE is in BCNF\n",
+ "------------------------------------------------------\n"
+ ]
+ }
+ ],
"source": [
"R2 = \"ABCDEH\"\n",
"F2 = {FD('A', 'BC'), FD('E', 'HA')}\n",
@@ -557,165 +629,176 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 19,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "JKL is not in BCNF\n",
+ "Decomposing JKL using L -> K into relations KL and JL\n",
+ "KL is in BCNF\n",
+ "JL is in BCNF\n"
+ ]
+ }
+ ],
"source": [
"BCNFDecomposition(\"JKL\", findClosure(\"JKL\", {FD('JK', 'L'), FD('L', 'K')}))"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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- " <__main__.FD at 0x7f765d1c5898>,\n",
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- " <__main__.FD at 0x7f765c9647f0>,\n",
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- " <__main__.FD at 0x7f7660a59e80>,\n",
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- " <__main__.FD at 0x7f765c969828>,\n",
- " <__main__.FD at 0x7f765c9696a0>,\n",
- " <__main__.FD at 0x7f765c969240>,\n",
- " <__main__.FD at 0x7f765c9695c0>,\n",
- " <__main__.FD at 0x7f765c964278>,\n",
- " <__main__.FD at 0x7f765d1c5240>,\n",
- " <__main__.FD at 0x7f765c9697f0>,\n",
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+ " <__main__.FD at 0x10cca8e80>,\n",
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+ " <__main__.FD at 0x10cc9a5f8>,\n",
+ " <__main__.FD at 0x10cc9a3c8>,\n",
+ " <__main__.FD at 0x10cb01e48>,\n",
+ " <__main__.FD at 0x10cb07390>,\n",
+ " <__main__.FD at 0x10cb01da0>,\n",
+ " <__main__.FD at 0x10cca8a90>,\n",
+ " <__main__.FD at 0x10ccaf630>,\n",
+ " <__main__.FD at 0x10caee898>,\n",
+ " <__main__.FD at 0x10cc9a470>,\n",
+ " <__main__.FD at 0x10cc9af98>,\n",
+ " <__main__.FD at 0x10cc9aac8>,\n",
+ " <__main__.FD at 0x10cc92c50>,\n",
+ " <__main__.FD at 0x10cb019b0>,\n",
+ " <__main__.FD at 0x10caee780>,\n",
+ " <__main__.FD at 0x10cb072e8>,\n",
+ " <__main__.FD at 0x10caeeef0>,\n",
+ " <__main__.FD at 0x10cc9a908>,\n",
+ " <__main__.FD at 0x10cc9a9e8>,\n",
+ " <__main__.FD at 0x10cb01668>,\n",
+ " <__main__.FD at 0x10cc6be48>,\n",
+ " <__main__.FD at 0x10cb01080>,\n",
+ " <__main__.FD at 0x10ccaf128>,\n",
+ " <__main__.FD at 0x10cca8e10>,\n",
+ " <__main__.FD at 0x10cc9aef0>,\n",
+ " <__main__.FD at 0x10cc92e80>,\n",
+ " <__main__.FD at 0x10ccaf2e8>,\n",
+ " <__main__.FD at 0x10cca8d30>,\n",
+ " <__main__.FD at 0x10ccc9198>,\n",
+ " <__main__.FD at 0x10ccaf588>,\n",
+ " <__main__.FD at 0x10cb07470>,\n",
+ " <__main__.FD at 0x10ccafa20>,\n",
+ " <__main__.FD at 0x10cc9a8d0>}"
]
},
- "execution_count": 15,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -726,7 +809,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 21,
"metadata": {},
"outputs": [
{
@@ -735,7 +818,7 @@
"'ABCD'"
]
},
- "execution_count": 16,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -746,18 +829,18 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "{<__main__.FD at 0x7f765d1c5390>,\n",
- " <__main__.FD at 0x7f765d1c54e0>,\n",
- " <__main__.FD at 0x7f765d1c5cf8>}"
+ "{<__main__.FD at 0x10cb01828>,\n",
+ " <__main__.FD at 0x10cb01ac8>,\n",
+ " <__main__.FD at 0x10cb01080>}"
]
},
- "execution_count": 19,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -768,30 +851,23 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 24,
"metadata": {},
"outputs": [
{
- "ename": "SyntaxError",
- "evalue": "unexpected EOF while parsing (<ipython-input-20-92c25cba582c>, line 1)",
- "output_type": "error",
- "traceback": [
- "\u001b[0;36m File \u001b[0;32m\"<ipython-input-20-92c25cba582c>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m FD('A', 'B'\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unexpected EOF while parsing\n"
- ]
+ "data": {
+ "text/plain": [
+ "<__main__.FD at 0x10cb010b8>"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "FD('A', 'B'"
+ "FD('A', 'B')"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -810,7 +886,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2"
+ "version": "3.6.2"
}
},
"nbformat": 4,
--
GitLab