Workshop offered by Guillaume Larocque (guillaume.larocque@mcgill.ca), research professional at the Quebec Centre for Biodiversity Science.
In a terminal, type:
sudo apt-get install postgresql-9.5 libreoffice libreoffice-sdbc-postgresql
It is possible that the version of postgresql available in your repositories is earlier than 9.5. You can install the version you have available.
For other distributions, check this page.
On Windows and Mac:
On Linux Simply type:
psql
in a terminal.
If desired, you can create a superuser other than the default postgres user. To do so, type the following command, replacing your_username and your_password with values of your choice.
CREATE USER your_username WITH SUPERUSER PASSWORD 'your_password';
Creating a new database for the workshop
CREATE DATABASE workshop;
Important step to secure access to database.
REVOKE CONNECT ON DATABASE your_database FROM PUBLIC;
CREATE USER user_name WITH PASSWORD 'your_password'; GRANT ALL ON DATABASE your_database TO user_name;
dbname=workshop host=localhost port=5432
List all databases
\l
Connect to a database
\c workshop
List and describe all tables in the current database
\dt
… with more details
\dt+
View a list of all tables in database
\d+
Describe a particular table
\d tablename
List all users
\du
Quit Postgresql
\q
One you have connected to your database using the instructions above, you can click on Tool…SQL in LibreOffice Base and type your command there. If you create or delete a new table, you might have to click on View…Refresh Tables to see the changes.
More common data types
function call | meaning | example |
---|---|---|
integer | -2147483648 to +2147483647 | 5 |
decimal(,) | decimal(total digits, digits after period) | 122.52 decimal(5,2) |
real | 6 decimal digits precision | 122.527964 |
double | 15 decimal digits precision | 122.527964 |
varchar() | character(maximum length) | 'tree swallow' |
text | text of unspecified length | 'Once upon a time, there was…' |
timestamp | date and time | '2012-10-21 10:03:21' |
Full list of PostgreSQL data types.
CREATE TABLE bird_sightings (sight_id SERIAL PRIMARY KEY, obs_time timestamp,species text,sp_count integer,lat real,"long" real);
We use “” when we want to store a column or table name that is a reserved word or that contains spaces or special characters.
To add a new row with values to the table
INSERT INTO bird_sightings (obs_time,species,sp_count,lat,"long") VALUES ('2012-06-19 12:31:16','Sturnus vulgaris',40,45.3522,-73.7930);
Note that we did not specify the sight_id field since it is set to SERIAL (auto-increment) and it will be assigned a value automatically.
To see the table:
SELECT * FROM bird_sightings;
If you need to delete the table
DROP TABLE bird_sightings;
Question 1 Reproduce the following table in PostgreSQL, name it 'actors' and visualize it in PostgreSQL
first_name | last_name | birth_date | gender | height | trade_mark |
---|---|---|---|---|---|
Bruce | Willis | 1955-03-19 | M | 1.81 | Frequently plays a man who suffered a tragedy, had lost something or had a crisis of confidence or conscience. |
Emma | Watson | 1990-04-15 | F | 1.65 | Often portrays literary characters |
Download the following files to your computers (right-click, save link as…): Lakes.csv lakes_species.csv species_acro.csv
On Windows: Copy those three files to a folder named 'opendbwork' in the C: folder (i.e. C:\opendbwork)
On Mac or Linux: Copy those three files to a folder in your path that you can easily identify (e.g. /home/myname/opendbwork). Modify the commands below accordingly by replacing "C:/opendbwork"
with your path.
Create the table containing the environmental information of each lake - Lakes
CREATE TABLE lakes (lake_id SERIAL PRIMARY KEY,numero INT, lake_name text, province text, latitude DEC(10,5),longitude DEC(10,5), number_of_species INT, ecoprov VARCHAR(50), ecozone VARCHAR(50), gss DEC(10,2),gse DEC(10,2), gsl DEC(10,2), gdd10 DEC(10,2), egdd DEC(10,2), mean_ele DEC(10,2), pe_ann_p DEC(10,2), totp_ann DEC(10,2), srann_me DEC(10,2), shann_me DEC(10,2), tmax_ann DEC(10,2), tmean_an DEC(10,2), vpann_me DEC(10,2));
Load the CSV file into this table
COPY lakes FROM 'C:/opendbwork/Lakes.csv' WITH csv HEADER DELIMITER AS ',';
If this command gives you an access denied error message in Windows
If this command gives you an access denied error message on Mac
Create the table containing the Species presence at each lakes and load CSV into it - lakes_species
CREATE TABLE lakes_species (lake_id INT NOT NULL, species_id INT NOT NULL); COPY lakes_species FROM 'C:/bdlibre/lakes_species.csv' WITH csv HEADER DELIMITER AS ',';
For the third table, we could use the command line with the following:
However, we will use LibreOffice instead…
MATH AND GROUP BY (Aggregate) Functions
avg() | Return the average value of the argument |
count(DISTINCT) | Return the count of a number of different values |
count() | Return a count of the number of rows returned |
group_concat() | Return a concatenated string |
max() | Return the maximum value |
min() | Return the minimum value |
stddev() | Return the population standard deviation |
stddev_pop() | Return the population standard deviation |
stddev_samp() | Return the sample standard deviation |
sum() | Return the sum |
var_pop() | Return the population standard variance |
var_samp() | Return the sample variance |
variance() | Return the population standard variance |
Full list
Conditional selections used in the where clause
= | Equal |
> | Greater than |
< | Less than |
>= | Greater than or equal |
< = | Less than or equal |
<> or != | Not equal to |
LIKE | String matching |
Order of operators in a SELECT statement:
SELECT columns FROM tables WHERE conditions JOIN GROUP BY columns HAVING condition ORDER BY columns;
Select all rows from the lakes table.
SELECT * FROM lakes;
In the terminal, when you are done browsing a table, hit 'q' to go back to the prompt.
Select just the lake names and province.
SELECT lake_name, province FROM lakes;
Show all province names in table
SELECT DISTINCT province from lakes;
Show all province names in table, use an alias for province and order by descending alphabetical order.
SELECT DISTINCT province as "province name" FROM lakes ORDER BY province DESC;
Show the birth year of each actor
SELECT first_name, last_name, EXTRACT(YEAR FROM birth_date) FROM actors;
Show initials of each actor
SELECT first_name, last_name, concat(substr(first_name,1,1),' ',substr(last_name,1,1)) as initials FROM actors;
Select all lakes from Quebec where the mean annual temperature is below -5.
SELECT lake_name, tmean_an FROM lakes WHERE province='QUEBEC' AND tmean_an<-5;
Or simply, to count the number of lakes
SELECT count(*) FROM lakes WHERE province='QUEBEC' AND tmean_an<-5; or equivalently: SELECT count(lake_id) FROM lakes WHERE province='QUEBEC' AND tmean_an<-5;
Question 1 - How many lakes in British Columbia receive more than 3000 mm of precipitation (totp_ann column)?
answer
Question 2 - What is the average Elevation (mean_ele column) of all lakes in the Montane Cordillera Ecozone (use the avg() operator)?
answer
Note: the % operator is a wildcard used to replace the beginning or the end of a string.
Select all lake names that contain the word 'Small'
SELECT lake_name FROM lakes WHERE lake_name like '%Small%';
Select all lake names that contain the word 'Small' and that are not located in Ontario.
SELECT lake_name, province FROM lakes WHERE lake_name like '%Small%' AND province!='ONTARIO'; other possibility: SELECT lake_name, province FROM lakes WHERE lake_name like '%Small%' AND province NOT LIKE 'ONTARIO';
Question 3 - What is the maximum latitude of all lakes in Ecozones with names that start with 'Taiga'
answer
Question 4 - How many species of Daphnia are there in the species_acro table?
answer
Calculate the average annual temperature of all lakes within each province
SELECT province, AVG(tmean_an) as mean_an_t FROM lakes GROUP BY province;
Same table ordered by increasing temperatures
SELECT province, AVG(tmean_an) as Mean_AN_T FROM lakes GROUP BY province ORDER BY AVG(tmean_an);
Question 5 - Which province has the lake with the highest maximum temperature (column tmax_ann)?
answer
Update statement: Give all rows where the province name includes NWT the same province name 'NWT' - Careful, this actually modifies the table!
UPDATE lakes SET province='NWT' WHERE province like '%NWT%';
Count the number of species in each lake. Display lake name and species number.
SELECT lake_name, COUNT(DISTINCT species_id) as num_species FROM lakes, lakes_species WHERE lakes.lake_id=lakes_species.lake_id GROUP BY lakes.lake_id ORDER BY num_species DESC;
Same query, but only display the first 20.
SELECT lake_name, COUNT(DISTINCT species_id) as num_species FROM lakes, lakes_species WHERE lakes.lake_id=lakes_species.lake_id GROUP BY lakes.lake_id ORDER BY num_species DESC LIMIT 20;
Count the number of species in each Ecozone and Ecoprovince. Display lake name and species number.
SELECT ecozone, ecoprov, COUNT(species_id) as num_species FROM lakes, lakes_species WHERE lakes.lake_id=lakes_species.lake_id GROUP BY ecozone, ecoprov ORDER BY ecozone, COUNT(species_id);
Question 6 Generate a table that lists the full name of each species of Daphnia and the number of lakes where this species is present?
JOIN (INNNER JOIN, CROSS JOIN) | Keep all possible combinations of rows from A and B |
LEFT JOIN | Keep all records of table A, join with elements from B that are present in A |
RIGHT JOIN | Keep all records of table B, join with elements from A that are present in B |
OUTER JOIN | Keep all records from table A and B |
Create a list of all the species found in the lakes in Quebec, with the full names of the species and the number of occurences
SELECT full_name, count(full_name) FROM species_acro,lakes_species,lakes WHERE species_acro.species_id=lakes_species.species_id AND lakes.lake_id=lakes_species.lake_id AND province='QUEBEC' GROUP BY full_name;
Alternatively, and equivalently…
SELECT full_name, count(full_name) FROM lakes LEFT JOIN lakes_species ON (lakes.lake_id=lakes_species.lake_id) LEFT JOIN species_acro ON (species_acro.species_id=lakes_species.species_id) WHERE province='QUEBEC' GROUP BY full_name;
For every possible combinations of lakes found in the Lake of the Woods Ecoprovince, return the difference in mean annual temperature between those lakes.
SELECT concat(a.lake_name,'-',b.lake_name) as lakes, a.TMEAN_AN-b.TMEAN_AN as temp_diff FROM lakes a, lakes b WHERE a.ecoprov='Lake of the Woods' AND b.ecoprov='Lake of the Woods';
Generate a table containing the count of the presence of each species in lakes North and South of the 50th parallel (latitude).
SELECT a.species_id, count_50south, count_50north FROM (SELECT species_id, count(d.species_id) as count_50south FROM lakes c, lakes_species d WHERE c.lake_id=d.lake_id AND latitude<=50 GROUP BY species_id) a, (SELECT species_id, count(f.species_id) as count_50north FROM lakes e, lakes_species f WHERE e.lake_id=f.lake_id AND latitude>50 GROUP BY species_id) b WHERE a.species_id=b.species_id;
Question 7 Using a subquery, find the mean elevation of lakes (MEAN_ELE column) where are species of Daphnia is present
Answer
Create a new table with just lakes in Quebec
CREATE TABLE lakes_qc AS SELECT * FROM lakes WHERE province='QUEBEC';
COPY lakes_qc TO 'C:/opendbwork/lakes_qc.csv' WITH csv HEADER DELIMITER AS ',';
You are given a dataset in the following format:
Plot 1 | |||
---|---|---|---|
species_name | dbh | status | comment |
Acer rubrum | 12.4 | alive | |
Acer saccharum | 25.3 | alive | |
Fagus grandifolia | 14.1 | dead | |
Fagus grandifolia | 66.0 | alive | |
Fraxinus americana | 30.1 | alive | diseased bark |
Plot 2 | |||
Quercus rubra | 12.4 | alive | |
Fraxinus americana | 64.2 | alive | big hole in trunk |
Fraxinus americana | 53.1 | dead | uprooted |
Carpinus caroliana | 10.3 | alive |
You are told that thousands more trees will have to be entered in this way. How would you go about designing a database and form system to store this information?
Create the following table in PostgreSQL. You can then fill the table with its values by clicking on the table name in Base and entering values manually. Table name: tree_species
species_id | species_name | english_name |
---|---|---|
1 | Quercus rubra | Red oak |
2 | Acer saccharum | Sugar maple |
3 | Acer rubrum | Red maple |
4 | Fagus grandifolia | American beech |
5 | Fraxinus americana | White ash |
6 | Carpinus caroliana | Musclewood |
Create this table structure and create a form to fill it in the form design view, with a drop-down menus (list box) to select the species names and radio buttons for the tree health. tree_id is the primary key. For technical reasons, make sure that you specify varchar as the format for the status field. Table name: tree_plots
plot_id | tree_id | species_id | dbh | health | comment |
---|---|---|---|---|---|
1 | 1 | 3 | 12.4 | alive | |
1 | 2 | 2 | 25.3 | alive | |
1 | 3 | 4 | 14.1 | dead | |
1 | 4 | 4 | 66.0 | alive | |
1 | 5 | 4 | 30.1 | alive | diseased bark |
2 | 6 | 1 | 40.1 | alive | |
2 | 7 | 5 | 64.2 | alive | big hole in trunk |
2 | 8 | 5 | 53.1 | dead | uprooted |
2 | 9 | 6 | 10.3 | alive |
Useful link
Main steps
Download and install the WAPP server for pour Windows, or MAPP for Mac.
For linux:
sudo apt-get install postgresql-9.5 apache2 php5 phppgadmin php5-pgsql
Main components needed for an HTML file
<!DOCTYPE html> <html> <head> <title>Document title</title> </head> <body> The page content is here! </body> </html>
Creation of a form
The basic form
<form method="POST" action="phpfile.php"> <input type="text"> </form>
Text input
<input type="text" name="name_text">
Dropdown menu
<select name="select1"> <option value="1">Option 1</option> <option value="2">Option 2</option> <option value="3">Option 3</option> </select>
Check box
<input type="checkbox" name="poutine" value="yes"> I like poutine <input type="checkbox" name="sushis" value="yes"> I like sushi <input type="checkbox" name="poutine_sushis" value="yes"> I like poutine topped with sushi
Radio buttons
I am a... <input type="radio" name="gender" value="m" > Man <input type="radio" name="gender" value="w"> Woman
Text area
<textarea name="text_zone"> </textarea>
You can give an “id” to any html element, but there can only one element per id.
<input type="text" name="fieldname" id="fieldid">
We can then reference it in the header of the css file with the pound symbol (#)
<head> <style> #fieldid { width:300px; height:30px; color:red; background-color:#ffff00; font-family:verdana,arial; font-size:14px; font-weight:bold; padding:0px 5px 0px 5px; #top right bottom left } </style> </head>
We can also give a class to any html element. This class can be repeated for multiple elements.
<input type="text" name="name_text1" class="class_text"> <input type="text" name="name_text2" class="class_text"> <input type="text" name="name_text3" class="class_text">
Et on peut y faire référence dans l'entête de style css du fichier html avec le point “.” We can then reference it in the style section of the html header with the “.”
<head> <style> .class_text { width:300px; height:30px; color:red; background-color:#ffff00; font-family:verdana,arial; font-size:14px; font-weight:bold; padding:0px 5px 0px 5px; #top right bottom left } </style> </head>
All php commands must be contained within
<?php PHP code is here ?>
Comments
<?php // Comments in a line /* Comments section */ ?>
<?php // Creation of variables $myvar=5; $myvar='this is text'; // Creation of an array $myarray=array('value1','value2','value3'); echo $myarray[0]; //value1 $myarray=[]; $myarray[0]='value1'; $myarray[1]='value2'; // Creation of a "key-value" array $myarray=array( 'key1'=>'key1', 'key2'=>'key2', 'key3'=>'key3', ); echo $myarray['key1']; //value1 ?>
Loops and if/else
<?php if ($f==5){ //Do something }else{ //Do something else } for ($i=0;$i<10;$i++){ echo 'i='.$i; } //i=0 //i=1 //... //i=9 foreach ($myarray as $my){ //Do something here with $my ?>
This PHP file is the one which is specified in the “ACTION” part of the <form> field
<?php // Connexion and selection of the database $dbconn = pg_connect("host=localhost dbname=database user=username password=my_password"); // The $_POST contains all the data from the form. Each 'key' in this array corresponds to the name given to each html element. $element1=$_POST['name_element1']; $element2=$_POST['name_element2']; $element1=pg_escape_string($element1); $element2=pg_escape_string($element2); // Inserted into the databse $query = "INSERT INTO ma_table (column1,column2) VALUES ($element1,$element2)"; $result = pg_query($query); // Close the connexion pg_close($dbconn); echo "Form successfully entered into the database|"; ?>
Accéder à différents types d'éléments
//Check boxes foreach ($_POST['checkbox'] as $check){ //Faire quelque chose ici avec $check } //Convertir les valeurs en liste séparée par des virgules $check=implode(',',$_POST['checkbox']);
Retrouver des éléments dans la base de données
// Connexion et sélection de la base de données $dbconn = pg_connect("host=localhost dbname=base_donnees user=nom_usager password=mot_de_passe"); $query="SELECT * FROM nom_table"; // Insertion dans la base de données $result = pg_query($query); while ($t=pg_fetch_array($result)){ echo $t['prenom'].' '.$t['nom_famille']; } // Fermer la connexion pg_close($dbconn);
From within R: On first use only:
install.packages('RPostgreSQL')
library(RPostgreSQL) drv <- dbDriver("PostgreSQL") con <- dbConnect(drv, user="your_username", password="your_password", dbname="workshop"); lakes <- dbGetQuery(con,'SELECT * FROM lakes');
lakesqc <- dbGetQuery(con,"SELECT * FROM lakes WHERE province='QUEBEC'") hist(lakes$tmean_an)
library(dplyr) src<-src_postgres(dbname="workshop",host="localhost", port="5432",user="your_username",password="your_password") lakes <- tbl(src, "lakes") # Define lakes table lakes_qc<-filter(lakes, province %=% 'QUEBEC') # Select lakes in Quebec prov_tmean<-summarise(group_by(lakes, province), mean(tmean_an)) # Mean annual temperature per province prov_tmean=collect(prov_tmean) # Transfer result to standard R data frame lakes_qc2<-tbl(src, sql("SELECT * FROM lakes WHERE province='QUEBEC'")) #Perform any SQL statement