Following is the visual walkthrough of the BigQuery User Interface:
#1 In BigQuery we create/add one or more projects:
#2 When you click on a project ID, a new tab is opened:
#3 Each project is made up of one or more data sets which you can see by clicking on the drop-down menu:
#4 When you click on a data set name, a new tab is opened:
#5 Each data set is made up of one or more tables which you can see by clicking on the drop-down menu:
It’s the data tables (and not the projects or data sets) that contains the actual data.
#6 When you click on a data table name, a new tab is opened:
#7 Each data table has got ‘Schema’, ‘Details’ and ‘Preview’ tabs:
#8 Schema is the structure of your data table.
It shows you how the table has been set up. What type of values it accepts. You can also read a short description of each table field:
If you want to edit the schema then click on the ‘Edit schema’ button.
#9 Here is what the schema editor looks like:
#10 Through the ‘Details’ tab you can get the following information about your data table:
Table ID
Table size
Number of rows in the table
Date and time when the table was created
Table expiration date
Last modified date and time
Data location
#11 Through the preview tab you can preview your table without running a single query:
#12 Click on the ‘QUERY TABLE’ button to create and edit a new SQL query:
You should now see a new SQL editor (pre-populated with SQL) opened in a new tab (named EDITOR-2) :
However, this SQL is not complete as it is missing the name of the columns that should be retrieved.
And that’s why you see the syntax error:
Let’s retrieve all the columns of the table by using the SELECT * statement.
The correct SQL may look like the one below:
#13 In order to make your queries more readable and easy to understand, format them by clicking on the ‘Format Query’ option under the ‘MORE’ drop-down menu:
#14 Here is how the formatted query would look like:
#15 When you type a query in the ‘query editor’, BigQuery tells you in advance how much data your query will process:
In BigQuery, you are charged on the basis of the amount of data your query processes.
So if your query is going to process gigabytes or terabytes of data then it would quickly increase your query cost. So look at this notification every time before running a query.
#16 Click on the ‘Run’ button to execute your query:
#17 When you run a query, you would see the query results directly below the ‘query editor’:
#18 There is a navigation bar at the bottom right-hand side of your query results data table to see more records/rows:
Understanding the BigQuery User Interface 58
#19 To save your query click on the ‘Save Query’ option from the ‘SAVE’ drop-down menu:
Name your query and then click on the ‘Save’ button:
Your current tab should now rename to ‘My First Query’:
#20 If you want to switch to the current data table then click on the tab corresponding to the data table:
#21 If you want to switch to the current data set then click on the tab corresponding to the data set:
#22 If you want to switch to the current BigQuery project then click on the tab corresponding to the project:
#23 If you want to compose a new query then click on the ‘Editor’ tab:
Here you can enter a new query and then execute it by clicking on the ‘Run’ button.
#31 BigQuery provides a lot of public data sets which you can use for practice purposes.
To find such data sets click on the ‘+ADD DATA’ drop-down menu and then click on ‘Explore Public Datasets’:
#32 To see the list of available keyboard shortcuts click on the ‘SHORTCUT’ button:
#33 If you want to switch back to the old user interface of BigQuery then click on the ‘HIDE PREVIEW FEATURES’ button:
#34 Here is what the old user interface of BigQuery looks like:
#35 If you want to switch back to the new user interface of BigQuery then click on the ‘SHOW PREVIEW FEATURES’ BUTTON:
#36 Click on the hamburger button at the top left-hand side of your screen to navigate to the home page of your Google cloud console account, to access billing, support and other Google Cloud products:
#37 Hover your mouse over the magnifying glass on the top left-hand side of your screen to access the BigQuery menu:
#38 Most of the time, you will find yourself working in the ‘SQL workspace’ section of BigQuery:
There are some other bits and bobs which you can easily discover yourself while using BigQuery.
But that’s all there is really regarding using the BigQuery user interface.
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