Blazer

Explore your data with SQL. Easily create charts and dashboards, and share them with your team.

Try it out

Blazer 2.0 was recently released! See instructions for upgrading.

🍊 Battle-tested at Instacart

Features

Multiple data sources - PostgreSQL, MySQL, Redshift, and many more
Variables - run the same queries with different values
Checks & alerts - get emailed when bad data appears
Audits - all queries are tracked
Security - works with your authentication system

Installation

Add this line to your application’s Gemfile:

gem 'blazer'

Run:

rails generate blazer:install
rails db:migrate

And mount the dashboard in your config/routes.rb:

mount Blazer::Engine, at: "blazer"

For production, specify your database:

ENV["BLAZER_DATABASE_URL"] = "postgres://user:password@hostname:5432/database"

Blazer tries to protect against queries which modify data (by running each query in a transaction and rolling it back), but a safer approach is to use a read only user. See how to create one.

Checks (optional)

Be sure to set a host in config/environments/production.rb for emails to work.

config.action_mailer.default_url_options = {host: "blazer.dokkuapp.com"}

Schedule checks to run (with cron, Heroku Scheduler, etc). The default options are every 5 minutes, 1 hour, or 1 day, which you can customize. For each of these options, set up a task to run.

rake blazer:run_checks SCHEDULE="5 minutes"
rake blazer:run_checks SCHEDULE="1 hour"
rake blazer:run_checks SCHEDULE="1 day"

You can also set up failing checks to be sent once a day (or whatever you prefer).

rake blazer:send_failing_checks

Here’s what it looks like with cron.

*/5 * * * * rake blazer:run_checks SCHEDULE="5 minutes"
0   * * * * rake blazer:run_checks SCHEDULE="1 hour"
30  7 * * * rake blazer:run_checks SCHEDULE="1 day"
0   8 * * * rake blazer:send_failing_checks

For Slack notifications, create an incoming webhook and set:

BLAZER_SLACK_WEBHOOK_URL=https://hooks.slack.com/...

Name the webhook “Blazer” and add a cool icon.

Authentication

Don’t forget to protect the dashboard in production.

Basic Authentication

Set the following variables in your environment or an initializer.

ENV["BLAZER_USERNAME"] = "andrew"
ENV["BLAZER_PASSWORD"] = "secret"

Devise

authenticate :user, ->(user) { user.admin? } do
  mount Blazer::Engine, at: "blazer"
end

Other

Specify a before_action method to run in blazer.yml.

before_action_method: require_admin

You can define this method in your ApplicationController.

def require_admin
  # depending on your auth, something like...
  redirect_to root_path unless current_user && current_user.admin?
end

Be sure to render or redirect for unauthorized users.

Permissions

Blazer runs each query in a transaction and rolls it back to prevent queries from modifying data. As an additional line of defense, we recommend using a read only user.

PostgreSQL

Create a user with read only permissions:

BEGIN;
CREATE ROLE blazer LOGIN PASSWORD 'secret123';
GRANT CONNECT ON DATABASE database_name TO blazer;
GRANT USAGE ON SCHEMA public TO blazer;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO blazer;
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO blazer;
COMMIT;

MySQL

Create a user with read only permissions:

GRANT SELECT, SHOW VIEW ON database_name.* TO blazer@’127.0.0.1′ IDENTIFIED BY ‘secret123‘;
FLUSH PRIVILEGES;

MongoDB

Create a user with read only permissions:

db.createUser({user: "blazer", pwd: "password", roles: ["read"]})

Also, make sure authorization is enabled when you start the server.

Sensitive Data

If your database contains sensitive or personal data, check out Hypershield to shield it.

Encrypted Data

If you need to search encrypted data, use blind indexing.

You can have Blazer transform specific variables with:

Blazer.transform_variable = lambda do |name, value|
  value = User.compute_email_bidx(value) if name == "email_bidx"
  value
end

Queries

Variables

Create queries with variables.

SELECT * FROM users WHERE gender = {gender}

Use {start_time} and {end_time} for time ranges. Example

SELECT * FROM ratings WHERE rated_at >= {start_time} AND rated_at <= {end_time}

Smart Variables

Example

Suppose you have the query:

SELECT * FROM users WHERE occupation_id = {occupation_id}

Instead of remembering each occupation’s id, users can select occupations by name.

Add a smart variable with:

smart_variables:
  occupation_id: "SELECT id, name FROM occupations ORDER BY name ASC"

The first column is the value of the variable, and the second column is the label.

You can also use an array or hash for static data and enums.

smart_variables:
  period: ["day", "week", "month"]
  status: {0: "Active", 1: "Archived"}

Linked Columns

Example - title column

Link results to other pages in your apps or around the web. Specify a column name and where it should link to. You can use the value of the result with {value}.

linked_columns:
  user_id: "/admin/users/{value}"
  ip_address: "https://www.infosniper.net/index.php?ip_address={value}"

Smart Columns

Example - occupation_id column

Suppose you have the query:

SELECT name, city_id FROM users

See which city the user belongs to without a join.

smart_columns:
  city_id: "SELECT id, name FROM cities WHERE id IN {value}"

You can also use a hash for static data and enums.

smart_columns:
  status: {0: "Active", 1: "Archived"}

Caching

Blazer can automatically cache results to improve speed. It can cache slow queries:

cache:
  mode: slow
  expires_in: 60 # min
  slow_threshold: 15 # sec

Or it can cache all queries:

cache:
  mode: all
  expires_in: 60 # min

Of course, you can force a refresh at any time.

Charts

Blazer will automatically generate charts based on the types of the columns returned in your query.

Note: The order of columns matters.

Line Chart

There are two ways to generate line charts.

2+ columns - timestamp, numeric(s) - Example

SELECT date_trunc('week', created_at), COUNT(*) FROM users GROUP BY 1

3 columns - timestamp, string, numeric - Example

SELECT date_trunc('week', created_at), gender, COUNT(*) FROM users GROUP BY 1, 2

Column Chart

There are also two ways to generate column charts.

2+ columns - string, numeric(s) - Example

SELECT gender, COUNT(*) FROM users GROUP BY 1

3 columns - string, string, numeric - Example

SELECT gender, zip_code, COUNT(*) FROM users GROUP BY 1, 2

Scatter Chart

2 columns - both numeric - Example

SELECT x, y FROM table

Pie Chart

2 columns - string, numeric - and last column named pie - Example

SELECT gender, COUNT(*) AS pie FROM users GROUP BY 1

Maps

Columns named latitude and longitude or lat and lon or lat and lng - Example

SELECT name, latitude, longitude FROM cities

To enable, get an access token from Mapbox and set ENV["MAPBOX_ACCESS_TOKEN"].

Targets

Use the column name target to draw a line for goals. Example

SELECT date_trunc('week', created_at), COUNT(*) AS new_users, 100000 AS target FROM users GROUP BY 1

Dashboards

Create a dashboard with multiple queries. Example

If the query has a chart, the chart is shown. Otherwise, you’ll see a table.

If any queries have variables, they will show up on the dashboard.

Checks

Checks give you a centralized place to see the health of your data. Example

Create a query to identify bad rows.

SELECT * FROM ratings WHERE user_id IS NULL /* all ratings should have a user */

Then create check with optional emails if you want to be notified. Emails are sent when a check starts failing, and when it starts passing again.

Anomaly Detection

Blazer supports two different approaches to anomaly detection.

Trend

Trend is easiest to set up but uses an external service.

Add trend to your Gemfile:

gem 'trend'

And add to config/blazer.yml:

anomaly_checks: trend

R

R is harder to set up but doesn’t use an external service. It uses Twitter’s AnomalyDetection library.

First, install R. Then, run:

install.packages("remotes")
remotes::install_github("twitter/AnomalyDetection")

And add to config/blazer.yml:

anomaly_checks: r

If upgrading from version 1.4 or below, also follow the upgrade instructions.

If you’re on Heroku, follow these additional instructions.

Forecasting

Blazer has experimental support for forecasting through Trend.

Example

Add trend to your Gemfile:

gem 'trend'

And add to config/blazer.yml:

forecasting: trend

A forecast link will appear for queries that return 2 columns with types timestamp and numeric.

Data Sources

Blazer supports multiple data sources 🎉

Add additional data sources in config/blazer.yml:

data_sources:
  main:
    url: <%= ENV["BLAZER_DATABASE_URL"] %>
    # timeout, smart_variables, linked_columns, smart_columns
  catalog:
    url: <%= ENV["CATALOG_DATABASE_URL"] %>
    # ...
  redshift:
    url: <%= ENV["REDSHIFT_DATABASE_URL"] %>
    # ...

Full List

Amazon Athena
Amazon Redshift
Apache Drill
Cassandra
Druid
Elasticsearch
Google BigQuery
IBM DB2 and Informix
MongoDB
MySQL
Neo4j
Oracle
PostgreSQL
Presto
Salesforce
Snowflake
SQLite
SQL Server

You can also create an adapter for any other data store.

Note: In the examples below, we recommend using environment variables for urls.

data_sources:
  my_source:
    url: <%= ENV["BLAZER_MY_SOURCE_URL"] %>

Amazon Athena

Add aws-sdk-athena and aws-sdk-glue to your Gemfile and set:

data_sources:
  my_source:
    adapter: athena
    database: database
    output_location: s3://some-bucket/

Amazon Redshift

Add activerecord4-redshift-adapter or activerecord5-redshift-adapter to your Gemfile and set:

data_sources:
  my_source:
    url: redshift://user:password@hostname:5439/database

Apache Drill

Add drill-sergeant to your Gemfile and set:

data_sources:
  my_source:
    adapter: drill
    url: http://hostname:8047

Cassandra

Add cassandra-driver to your Gemfile and set:

data_sources:
  my_source:
    url: cassandra://user:password@hostname:9042/keyspace

Druid

Enable SQL support on the broker and set:

data_sources:
  my_source:
    adapter: druid
    url: http://hostname:8082

Elasticsearch

Add elasticsearch and elasticsearch-xpack to your Gemfile and set:

data_sources:
  my_source:
    adapter: elasticsearch
    url: http://user:password@hostname:9200

Google BigQuery

Add google-cloud-bigquery to your Gemfile and set:

data_sources:
  my_source:
    adapter: bigquery
    project: your-project
    keyfile: path/to/keyfile.json

IBM DB2 and Informix

Use ibm_db.

MongoDB

Add mongo to your Gemfile and set:

data_sources:
  my_source:
    url: mongodb://user:password@hostname:27017/database

MySQL

Add mysql2 to your Gemfile (if it’s not there) and set:

data_sources:
  my_source:
    url: mysql2://user:password@hostname:3306/database

Neo4j [experimental]

Add neo4j-core to your Gemfile and set:

data_sources:
  my_source:
    adapter: neo4j
    url: http://user:password@hostname:7474

Oracle

Use activerecord-oracle_enhanced-adapter.

PostgreSQL

Add pg to your Gemfile (if it’s not there) and set:

data_sources:
  my_source:
    url: postgres://user:password@hostname:5432/database

Presto

Add presto-client to your Gemfile and set:

data_sources:
  my_source:
    url: presto://user@hostname:8080/catalog

Salesforce [experimental]

Add restforce to your Gemfile and set:

data_sources:
  my_source:
    adapter: salesforce

And set the appropriate environment variables:

SALESFORCE_USERNAME="username"
SALESFORCE_PASSWORD="password"
SALESFORCE_SECURITY_TOKEN="security token"
SALESFORCE_CLIENT_ID="client id"
SALESFORCE_CLIENT_SECRET="client secret"
SALESFORCE_API_VERSION="41.0"

Supports SOQL

Snowflake

First, install ODBC. For Homebrew, use:

brew install unixodbc

For Ubuntu, use:

sudo apt-get install unixodbc-dev

For Heroku, use the Apt buildpack and create an Aptfile with:

unixodbc-dev
https://sfc-repo.snowflakecomputing.com/odbc/linux/2.19.16/snowflake-odbc-2.19.16.x86_64.deb

This installs the driver at /app/.apt/usr/lib/snowflake/odbc/lib/libSnowflake.so

Then, download the Snowflake ODBC driver. Add odbc_adapter to your Gemfile and set:

data_sources:
  my_source:
    adapter: snowflake
    conn_str: Driver=/path/to/libSnowflake.so;uid=user;pwd=password;server=host.snowflakecomputing.com

SQLite

Add sqlite3 to your Gemfile and set:

data_sources:
  my_source:
    url: sqlite3:path/to/database.sqlite3

SQL Server

Add tiny_tds and activerecord-sqlserver-adapter to your Gemfile and set:

data_sources:
  my_source:
    url: sqlserver://user:password@hostname:1433/database

Creating an Adapter

Create an adapter for any data store with:

class FooAdapter < Blazer::Adapters::BaseAdapter
  # code goes here
end

Blazer.register_adapter "foo", FooAdapter

See the Presto adapter for a good example. Then use:

data_sources:
  my_source:
    adapter: foo
    url: http://user:password@hostname:9200/

Query Permissions

Blazer supports a basic permissions model.

Queries without a name are unlisted
Queries whose name starts with # are only listed to the creator
Queries whose name starts with * can only be edited by the creator

Learn SQL

Have team members who want to learn SQL? Here are a few great, free resources.

Useful Tools

For an easy way to group by day, week, month, and more with correct time zones, check out Groupdate.sql.

Standalone Version

Looking for a standalone version? Check out Ghost Blazer.

Performance

By default, queries take up a request while they are running. To run queries asynchronously, add to your config:

async: true

Note: Requires Rails 5+ and caching to be enabled. If you have multiple web processes, your app must use a centralized cache store like Memcached or Redis.

config.cache_store = :mem_cache_store

Anomaly Detection on Heroku

Add the R buildpack to your app.

heroku buildpacks:add --index 1 https://github.com/virtualstaticvoid/heroku-buildpack-r.git\#cedar-14

And create an init.r with:

if (!"AnomalyDetection" %in% installed.packages()) {
  install.packages("devtools")
  devtools::install_github("twitter/AnomalyDetection")
}

Commit and deploy away. The first deploy may take a few minutes.

Content Security Policy

If views are stuck with a Loading... message, there might be a problem with strict CSP settings in your app. This can be checked with Firefox or Chrome dev tools. You can allow Blazer to override these settings for its controllers with:

override_csp: true

Upgrading

2.0

To use Slack notifications, create a migration

rails g migration add_slack_channels_to_blazer_checks

with:

add_column :blazer_checks, :slack_channels, :text

1.5

To take advantage of the anomaly detection, create a migration

rails g migration upgrade_blazer_to_1_5

with:

add_column :blazer_checks, :check_type, :string
add_column :blazer_checks, :message, :text
commit_db_transaction

Blazer::Check.reset_column_information

Blazer::Check.where(invert: true).update_all(check_type: "missing_data")
Blazer::Check.where(check_type: nil).update_all(check_type: "bad_data")

1.3

To take advantage of the latest features, create a migration

rails g migration upgrade_blazer_to_1_3

with:

add_column :blazer_dashboards, :creator_id, :integer
add_column :blazer_checks, :creator_id, :integer
add_column :blazer_checks, :invert, :boolean
add_column :blazer_checks, :schedule, :string
add_column :blazer_checks, :last_run_at, :timestamp
commit_db_transaction

Blazer::Check.update_all schedule: "1 hour"

1.0

Blazer 1.0 brings a number of new features:

multiple data sources, including Redshift
dashboards
checks

To upgrade, run:

bundle update blazer

Create a migration

rails g migration upgrade_blazer_to_1_0

with:

add_column :blazer_queries, :data_source, :string
add_column :blazer_audits, :data_source, :string

create_table :blazer_dashboards do |t|
  t.text :name
  t.timestamps
end

create_table :blazer_dashboard_queries do |t|
  t.references :dashboard
  t.references :query
  t.integer :position
  t.timestamps
end

create_table :blazer_checks do |t|
  t.references :query
  t.string :state
  t.text :emails
  t.timestamps
end

And run:

rails db:migrate

Update config/blazer.yml with:

# see https://github.com/ankane/blazer for more info

data_sources:
  main:
    url: <%= ENV["BLAZER_DATABASE_URL"] %>

    # statement timeout, in seconds
    # applies to PostgreSQL only
    # none by default
    # timeout: 15

    # time to cache results, in minutes
    # can greatly improve speed
    # none by default
    # cache: 60

    # wrap queries in a transaction for safety
    # not necessary if you use a read-only user
    # true by default
    # use_transaction: false

    smart_variables:
      # zone_id: "SELECT id, name FROM zones ORDER BY name ASC"

    linked_columns:
      # user_id: "/admin/users/{value}"

    smart_columns:
      # user_id: "SELECT id, name FROM users WHERE id IN {value}"

# create audits
audit: true

# change the time zone
# time_zone: "Pacific Time (US & Canada)"

# class name of the user model
# user_class: User

# method name for the current user
# user_method: current_user

# method name for the display name
# user_name: name

# email to send checks from
# from_email: blazer@example.org

History

View the changelog

Thanks

Blazer uses a number of awesome open source projects, including Rails, Vue.js, jQuery, Bootstrap, Selectize, StickyTableHeaders, Stupid jQuery Table Sort, and Date Range Picker.

Demo data from MovieLens.

Want to Make Blazer Better?

That’s awesome! Here are a few ways you can help:

Report bugs
Fix bugs and submit pull requests
Write, clarify, or fix documentation
Suggest or add new features

Check out the dev app to get started.

Name		Name	Last commit message	Last commit date
Latest commit History 919 Commits
.github		.github
app		app
config		config
lib		lib
.gitattributes		.gitattributes
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
Gemfile		Gemfile
LICENSE.txt		LICENSE.txt
README.md		README.md
Rakefile		Rakefile
blazer.gemspec		blazer.gemspec

License

Charcoal-SE/blazer

Folders and files

Latest commit

History

Repository files navigation

Blazer

Features

Docs

Installation

Checks (optional)

Authentication

Basic Authentication

Devise

Other

Permissions

PostgreSQL

MySQL

MongoDB

Sensitive Data

Encrypted Data

Queries

Variables

Smart Variables

Linked Columns

Smart Columns

Caching

Charts

Line Chart

Column Chart

Scatter Chart

Pie Chart

Maps

Targets

Dashboards

Checks

Anomaly Detection

Trend

R

Forecasting

Data Sources

Full List

Amazon Athena

Amazon Redshift

Apache Drill

Cassandra

Druid

Elasticsearch

Google BigQuery

IBM DB2 and Informix

MongoDB

MySQL

Neo4j [experimental]

Oracle

PostgreSQL

Presto

Salesforce [experimental]

Snowflake

SQLite

SQL Server

Creating an Adapter

Query Permissions

Learn SQL

Useful Tools

Standalone Version

Performance

Anomaly Detection on Heroku

Content Security Policy

Upgrading

2.0

1.5

1.3

1.0

History

Thanks

Want to Make Blazer Better?

About

Resources

License

Stars

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