Google BigQuery technical presentation for starting use of BigQuery

1. GGooooggllee BBiiggQQuueerryy
Google BigQuery - Big data with SQL like query feature, but fast...

2. BigQuery Features
● TB level data analysis
● Fast mining response
● SQL like query language
● Multi-dataset interactive
support
● Cheap and pay by use
● Offline job support

3. Getting Start

4. BigQuery Web UI
https://bigquery.cloud.google.com/

5. BigQuery structure
● Project
● Dataset
● Table
● Job

6. Handson - Import

7. The easily way - Import Wizard

8. Load Data to BigQuery in CMD
CSV / JSON Cloud Storage BigQuery

9. Load CSV to BigQuery
gsutil cp [source] gs://[bucket-name]
# gsutil cp ~/Desktop/log.csv gs://your-bucket/
Copying file:///Users/simonsu/Desktop/log.csv [Content-Type=text/csv]...
Uploading: 4.59 MB/36.76 MB
bq load [project]:[dataset].[table] gs://[bucket]/[csv path] [schema]
# bq load project.dataset gs://your-bucket/log.csv IP:STRING,DNS:STRING,TS:STRING,URL:STRING
Waiting on bqjob_rf4f3f1d9e2366a6_00000142c1bdd36f_1 ... (24s) Current status: DONE

10. Load JSON to BigQuery
bq load --source_format NEWLINE_DELIMITED_JSON
[project]:[dataset].[table] [json file] [schema file]
# bq load --source_format NEWLINE_DELIMITED_JSON testbq.jsonTest ./sample.json ./schema.json
Waiting on bqjob_r7182196a0278f1c6_00000145f940517b_1 ... (39s) Current status: DONE
# bq load --source_format NEWLINE_DELIMITED_JSON testbq.jsonTest gs://your-bucket/sample.json ./schema.
json
Waiting on bqjob_r7182196a0278f1c6_00000145f940517b_1 ... (39s) Current status: DONE

11. Handson - Query

12. Web way - Query Console

13. Shell way - bq commad
Install google_cloud_sdk (https://developers.google.com/cloud/sdk/)

14. Shell way - bq commad
bq query <sql_query>
# bq query 'select charge_unit,charge_desc,one_charge from testbq.test'

15. BigQuery - Query Language

16. Query support
Query syntax
● SELECT
● WITHIN
● FROM
● FLATTEN
● JOIN
● WHERE
● GROUP BY
● HAVING
● ORDER BY
● LIMIT
Supported functions and operators
● Aggregate functions
● Arithmetic operators
● Bitwise operators
● Casting functions
● Comparison functions
● Date and time functions
● IP functions
● JSON functions
● Logical operators
● Mathematical functions
● Regular expression functions
● String functions
● Table wildcard functions
● URL functions
● Window functions
● Other functions

17. Select
select charge_unit,charge_desc,one_charge from testbq.test
+-----------------+----------------+--------------------+
| charge_unit | charge_desc | one_charge |
+-----------------+----------------+--------------------+
| M | 按月計費 |0 |
| D | 按日計費 |0 |
| HH | 小時計費 |0 |
| T | 分計費 |0 |
| SS | 按次計費 |1 |
+-----------------+----------------+--------------------+

18. Join
SELECT a.THEID, a.THENAME ,b.DESCRIPITON
FROM user01.USER_MST a LEFT JOIN user01.USER_DETAIL_MST b
on a.THEID = b.THEID limit 10'
+-----------------+----------------+-----------------------------+
| a_THEPID | a_THENAME | b_DESCRIPITON |
+-----------------+----------------+-----------------------------+
| 2 | 關於道具 |在道具編成道具。 |
| 2 | 關於道具 |寶玉。 |
| 1 | 關於夥伴 |勇氣覺醒。 |
| 1 | 關於夥伴 |編輯進行任務的隊伍。 |
| 1 | 關於夥伴 |數個不同的類型 |
+-----------------+----------------+-----------------------------+

19. Flatten
SELECT
fullName,
age,
gender,
citiesLived.place
FROM (FLATTEN([dataset.tableId], children))
WHERE
(citiesLived.yearsLived > 1995) AND
(children.age > 3)
GROUP BY fullName, age, gender, citiesLived.place
+------------+-----+--------+--------------------+
| fullName | age | gender | citiesLived_place |
+------------+-----+--------+--------------------+
| John Doe | 22 | Male | Stockholm |
| Mike Jones | 35 | Male | Los Angeles |
| Mike Jones | 35 | Male | Washington DC |
| Mike Jones | 35 | Male | Portland |
| Mike Jones | 35 | Male | Austin |
+------------+-----+--------+---------------------+

20. Regular Expression
SELECT
word,
COUNT(word) AS count
FROM
publicdata:samples.shakespeare
WHERE
(REGEXP_MATCH(word,r'ww'ww'))
GROUP BY word
ORDER BY count DESC
LIMIT 3;
+-----------------+----------------+
| word | count |
+-----------------+----------------+
| ne'er | 42 |
| we'll | 35 |
| We'll | 33 |
+-----------------+----------------+

21. Time Function
SELECT
TOP (FORMAT_UTC_USEC(timestamp * 1000000), 5)
AS top_revision_time,
COUNT (*) AS revision_count
FROM
[publicdata:samples.wikipedia];
+----------------------------+----------------+
| top_revision_time | revision_count |
+----------------------------+----------------+
| 2002-02-25 15:51:15.000000 | 20971 |
| 2002-02-25 15:43:11.000000 | 15955 |
| 2010-01-14 15:52:34.000000 | 3 |
| 2009-12-31 19:29:19.000000 | 3 |
| 2009-12-28 18:55:12.000000 | 3 |
+----------------------------+----------------+

22. IP Function
SELECT
DOMAIN(repository_homepage) AS user_domain,
COUNT(*) AS activity_count
FROM
[publicdata:samples.github_timeline]
GROUP BY
user_domain
HAVING
user_domain IS NOT NULL AND user_domain != ''
ORDER BY
activity_count DESC
LIMIT 5;
+-----------------+----------------+
| user_domain | activity_count |
+-----------------+----------------+
| github.com | 281879 |
| google.com | 34769 |
| khanacademy.org | 17316 |
| sourceforge.net | 15103 |
| mozilla.org | 14091 |
+-----------------+----------------+

23. Handson - Programming

24. Prepare
● Prepare a Google Cloud Platform project
● Create a Service Account
● Generate key from Service Account p12 key

25. Google Service Account
web server appliction
service account
v.s.

26. Prepare Authentications
p12 key → pem key轉換
$ openssl pkcs12 -in privatekey.p12 -out privatekey.pem -nocerts
$ openssl rsa -in privatekey.pem -out key.pem

27. Node.js - bigquery模組
var bq = require('bigquery')
, prjId = 'your-bigquery-project-id';
bq.init({
client_secret: '/path-to-client_secret.json',
privatekey_pem: '/path-to-privatekey.pem',
key_pem: '/path-to-key.pem'
});
bq.job.listds(prjId, function(e,r,d){
if(e) console.log(e);
console.log(JSON.stringify(d));
});
操作時，透過bq呼叫job之下的
function做操作
bigquery模組可參考：https://github.com/peihsinsu/bigquery

28. Google Drive way - Apps Script
/* Ref: https://developers.google.com/apps-script/advanced/bigquery */
var request = { query: 'SELECT TOP(word, 30) AS word, COUNT(*) AS word_count ' +
'FROM publicdata:samples.shakespeare WHERE LENGTH(word) > 10;' };
var queryResults = BigQuery.Jobs.query(request, projectId);
var jobId = queryResults.jobReference.jobId;
queryResults = BigQuery.Jobs.getQueryResults(projectId, jobId);
var rows = queryResults.rows;
while (queryResults.pageToken) {
queryResults = BigQuery.Jobs.getQueryResults(projectId, jobId, {
pageToken: queryResults.pageToken
});
rows = rows.concat(queryResults.rows);
}

29. References
● Features: https://cloud.google.com/products/bigquery#features
● Case Studies: https://cloud.google.com/products/bigquery#case-studies
● Pricing: https://cloud.google.com/products/bigquery#pricing
● Documentation: https://cloud.google.
com/products/bigquery#documentation
● Query Reference: https://developers.google.com/bigquery/query-reference