BigQuery Interpreter for Apache Zeppelin

Overview

BigQuery is a highly scalable no-ops data warehouse in the Google Cloud Platform. Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast SQL queries against append-only tables using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Configuration

Name	Default Value	Description
zeppelin.bigquery.project_id		Google Project Id
zeppelin.bigquery.wait_time	5000	Query Timeout in Milliseconds
zeppelin.bigquery.max_no_of_rows	100000	Max result set size
zeppelin.bigquery.sql_dialect		BigQuery SQL dialect (standardSQL or legacySQL). If empty, [query prefix](https://cloud.google.com/bigquery/docs/reference/standard-sql/enabling-standard-sql#sql-prefix) like '#standardSQL' can be used.

BigQuery API

Zeppelin is built against BigQuery API version v2-rev265-1.21.0 - API Javadocs

Enabling the BigQuery Interpreter

In a notebook, to enable the BigQuery interpreter, click the Gear icon and select bigquery.

Provide Application Default Credentials

Within Google Cloud Platform (e.g. Google App Engine, Google Compute Engine), built-in credentials are used by default.

Outside of GCP, follow the Google API authentication instructions for Zeppelin Google Cloud Storage

Using the BigQuery Interpreter

In a paragraph, use %bigquery.sql to select the BigQuery interpreter and then input SQL statements against your datasets stored in BigQuery. You can use BigQuery SQL Reference to build your own SQL.

For Example, SQL to query for top 10 departure delays across airports using the flights public dataset

%bigquery.sql
SELECT departure_airport,count(case when departure_delay>0 then 1 else 0 end) as no_of_delays 
FROM [bigquery-samples:airline_ontime_data.flights] 
group by departure_airport 
order by 2 desc 
limit 10

Another Example, SQL to query for most commonly used java packages from the github data hosted in BigQuery

%bigquery.sql
SELECT
  package,
  COUNT(*) count
FROM (
  SELECT
    REGEXP_EXTRACT(line, r' ([a-z0-9\._]*)\.') package,
    id
  FROM (
    SELECT
      SPLIT(content, '\n') line,
      id
    FROM
      [bigquery-public-data:github_repos.sample_contents]
    WHERE
      content CONTAINS 'import'
      AND sample_path LIKE '%.java'
    HAVING
      LEFT(line, 6)='import' )
  GROUP BY
    package,
    id )
GROUP BY
  1
ORDER BY
  count DESC
LIMIT
  40

Technical description

For in-depth technical details on current implementation please refer to bigquery/README.md.