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  • Welcome to e6data
  • Introduction to e6data
    • Concepts
    • Architecture
      • e6data in VPC Deployment Model
      • Connect to e6data serverless compute
  • Get Started
  • Sign Up
  • Setup
    • AWS Setup
      • In VPC Deployment (AWS)
        • Prerequisite Infrastructure
        • Infrastructure & Permissions for e6data
        • Setup Kubernetes Components
        • Setup using Terraform in AWS
          • Update a AWS Terraform for your Workspace
        • AWS PrivateLink and e6data
        • VPC Peering | e6data on AWS
      • Connect to e6data serverless compute (AWS)
        • Workspace Creation
        • Catalog Creation
          • Glue Metastore
          • Hive Metastore
          • Unity Catalog
        • Cluster Creation
    • GCP Setup
      • In VPC Deployment (GCP)
        • Prerequisite Infrastructure
        • Infrastructure & Permissions for e6data
        • Setup Kubernetes Components
        • Setup using Terraform in GCP
        • Update a GCP Terraform for your Workspace
      • Connect to e6data serverless compute (GCP)
    • Azure Setup
      • Prerequisite Infrastructure
      • Infrastructure & Permissions for e6data
      • Setup Kubernetes Components
      • Setup using Terraform in AZURE
        • Update a AZURE Terraform for your Workspace
  • Workspaces
    • Create Workspaces
    • Enable/Disable Workspaces
    • Update a Workspace
    • Delete a Workspace
  • Catalogs
    • Create Catalogs
      • Hive Metastore
        • Connect to a Hive Metastore
        • Edit a Hive Metastore Connection
        • Delete a Hive Metastore Connection
      • Glue Metastore
        • Connect to a Glue Metastore
        • Edit a Glue Metastore Connection
        • Delete a Glue Metastore Connection
      • Unity Catalog
        • Connect to Unity Catalog
        • Edit Unity Catalog
        • Delete Unity Catalog
      • Cross-account Catalog Access
        • Configure Cross-account Catalog to Access AWS Hive Metastore
        • Configure Cross-account Catalog to Access Unity Catalog
        • Configure Cross-account Catalog to Access AWS Glue
        • Configure Cross-account Catalog to Access GCP Hive Metastore
    • Manage Catalogs
    • Privileges
      • Access Control
      • Column Masking
      • Row Filter
  • Clusters
    • Edit & Delete Clusters
    • Suspend & Resume Clusters
    • Cluster Size
    • Load Based Sizing
    • Auto Suspension
    • Query Timeout
    • Monitoring
    • Connection Info
  • Pools
    • Delete Pools
  • Query Editor
    • Editor Pane
    • Results Pane
    • Schema Explorer
    • Data Preview
  • Notebook
    • Editor Pane
    • Results Pane
    • Schema Explorer
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  • Query History
    • Query Count API
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    • Network Firewall
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      • AWS SSO
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      • Microsoft My Apps-SSO
      • Icons for IdP
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    • Multi-Factor Authentication (Beta)
  • Usage and Cost Management
  • Audit Log
  • User Settings
    • Profile
    • Personal Access Tokens (PAT)
  • Advanced Features
    • Cross-Catalog & Cross-Schema Querying
  • Supported Data Types
  • SQL Command Reference
    • Query Syntax
      • General functions
    • Aggregate Functions
    • Mathematical Functions & Operators
      • Arithematic Operators
      • Rounding and Truncation Functions
      • Exponential and Root Functions
      • Trigonometric Functions
      • Logarithmic Functions
    • String Functions
    • Date-Time Functions
      • Constant Functions
      • Conversion Functions
      • Date Truncate Function
      • Addition and Subtraction Functions
      • Extraction Functions
      • Format Functions
      • Timezone Functions
    • Conditional Expressions
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    • Window Functions
    • Comparison Operators & Functions
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    • Bitwise Functions
    • Array Functions
    • Regular Expression Functions
    • Generate Functions
    • Cardinality Estimation Functions
    • JSON Functions
    • Checksum Functions
    • Unload Function (Copy into)
    • Struct Functions
  • Equivalent Functions & Operators
  • Connectors & Drivers
    • DBeaver
    • DbVisualiser
    • Apache Superset
    • Jupyter Notebook
    • Tableau Cloud
    • Tableau Desktop
    • Power BI
    • Metabase
    • Zeppelin
    • Python Connector
      • Code Samples
    • JDBC Driver
      • Code Samples
      • API Support
    • Configure Cluster Ingress
      • ALB Ingress in Kubernetes
      • GCE Ingress in Kubernetes
      • Ingress-Nginx in Kubernetes
  • Security & Trust
    • Best Practices
      • AWS Best Practices
    • Features & Responsibilities Matrix
    • Data Protection Addendum(DPA)
  • Tutorials and Best Practices
    • How to configure HIVE metastore if you don't have one?
    • How-To Videos
  • Known Limitations
    • SQL Limitations
    • Other Limitations
    • Restart Triggers
    • Cloud Provider Limitations
  • Error Codes
    • General Errors
    • User Account Errors
    • Workspace Errors
    • Catalog Errors
    • Cluster Errors
    • Data Governance Errors
    • Query History Errors
    • Query Editor Errors
    • Pool Errors
    • Connectivity Errors
  • Terms & Condition
  • Privacy Policy
    • Cookie Policy
  • FAQs
    • Workspace Setup
    • Security
    • Catalog Privileges
  • Services Utilised for e6data Deployment
    • AWS supported regions
    • GCP supported regions
    • AZURE supported regions
  • Release Notes & Updates
    • 6th Sept 2024
    • 6th June 2024
    • 18th April 2024
    • 9th April 2024
    • 30th March 2024
    • 16th March 2024
    • 14th March 2024
    • 12th March 2024
    • 2nd March 2024
    • 10th February 2024
    • 3rd February 2024
    • 17th January 2024
    • 9th January 2024
    • 3rd January 2024
    • 18th December 2023
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    • 15th April 2023
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    • 30th March 2023
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On this page
  • Requirements
  • Connection
  • TLS/HTTPS
  1. Connectors & Drivers

Jupyter Notebook

Execute queries and analyze data within an interactive notebook environment.

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Last updated 9 months ago

Jupyter Notebook is an interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text. It supports various programming languages, including Python, R, and Julia, among others. Jupyter Notebook is commonly used for data analysis, machine learning, scientific computing, and research.

Requirements

  • Install the latest .

  • Recommended Jupyter Notebook version - v7.0.7

Connection

Get the necessary connection information for your cluster:

  • Host

  • Port

  • Username

  • Password (Personal Access Token)

  • Cluster uuid

  • Secure

To use e6data with classic Jupyter Notebook and Python, follow these instructions:

  1. Create a new notebook: in the classic Jupyter Notebook, on the Files tab, click New > Python 3 (ipykernel).

  2. Run the below command in the Jupyter Notebook paragraph,

pip install e6data-python-connector
  1. Run the below script in the paragraph with the information prefilled,

from e6data_python_connector import Connection

username = '<username>'  # Your e6data Email ID.
password = '<password>'  # Access Token generated in the e6data console.

host = '<host>'  # IP address or hostname of the cluster to be used.
database = '<database>'  # # Database to perform the query on.
port = <port>  # Port of the e6data engine.
catalog_name = '<catalog_name>'
cluster_uuid = '<cluster_uuid>'  # Specify cluster UUID
secure = True # Flag to use a secure channel for data transfer, default to False

conn = Connection(
    host=host,
    port=port,
    username=username,
    database=database,
    password=password,
    cluster_uuid=cluster_uuid,
    secure=secure
)
  1. To query data from e6 please use the below script,

query = """select * from <table>"""  # Replace with the query.

cursor = conn.cursor(catalog_name=catalog_name)
query_id = cursor.execute(query)  # The execute function returns a unique query ID, which can be use to abort the query.
all_records = cursor.fetchall()
for row in all_records:
   print(row)

TLS/HTTPS

e6data utilizes globally trusted certificates, ensuring that the host and port provided by the connection dialogue are adequate. Any e6data cluster necessitating authentication must also employ TLS/HTTPS. If adhering to globally trusted certificate best practices, utilize the cluster’s HTTPS URL in the connection string as detailed in the aforementioned steps. (Only required for TLS connectivity type of endpoints.)

e6data pip package