localstack · HarshCasper · Apr 8, 2025 · Apr 8, 2025 · Apr 8, 2025 · Apr 8, 2025
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 description: This page answers the frequently asked questions about LocalStack for Snowflake
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 ## Core FAQs
 
 ### Are Snowflake v2 APIs supported?

diff --git a/content/en/getting-started/installation/index.md b/content/en/getting-started/installation/index.md
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 description: Basic installation guide to get started with LocalStack for Snowflake
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 ## Introduction
 
 You can use the Snowflake Docker image to run the Snowflake emulator.

diff --git a/content/en/getting-started/quickstart/index.md b/content/en/getting-started/quickstart/index.md
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 description: Get started with LocalStack for Snowflake in a few simple steps
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 ## Introduction
 
 This guide explains how to set up the Snowflake emulator and develop a Python program using the Snowflake Connector for Python (`snowflake-connector-python`) to interact with emulated Snowflake running on your local machine.

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 [LocalStack](https://localstack.cloud/) is a cloud service emulator that runs in a single container on your laptop or in your CI environment.
 LocalStack for Snowflake emulates the functionality of a real Snowflake instance, allowing you to perform operations without an internet connection or a Snowflake account.
 This is valuable for locally developing and testing Snowflake data pipelines without incurring costs.

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 ### 0.3.0
 - Add support for multi-account setups
 - Add initial support for Java UDFs

diff --git a/content/en/references/configuration/index.md b/content/en/references/configuration/index.md
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 LocalStack exposes various configuration options to control its behaviour.
 
 These options can be passed to LocalStack as environment variables like so:

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 ## Resource Types and Operations
 
 This page provides a list of Snowflake query features (resource types and operations) that are supported in the LocalStack emulator.

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 ## Overview
 
 This table provides a list of all Snowflake system-defined SQL functions, scalar or table, emulated by LocalStack.

diff --git a/content/en/tutorials/aws-lambda-localstack-snowpark/index.md b/content/en/tutorials/aws-lambda-localstack-snowpark/index.md
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 description: In this tutorial, you will explore how you can use Snowpark to connect to a locally running AWS Lambda using LocalStack.
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 ## Introduction
 
 In this tutorial, you will explore how to connect Snowpark to AWS Lambda locally using LocalStack. Snowpark allows you to query, process, and transform data in a variety of ways using Snowpark Python. In this example, we create a Lambda function that uses Snowpark to:

diff --git a/content/en/tutorials/credit-scoring-with-localstack-snowpark/index.md b/content/en/tutorials/credit-scoring-with-localstack-snowpark/index.md
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 description: In this tutorial, you will explore how you can use LocalStack for Snowflake with Snowpark for data analysis and visualization
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 ## Introduction
 
 In this tutorial, you will learn how you can use the Snowflake emulator with Snowpark for Python and your favorite Python libraries for data analysis.

diff --git a/content/en/user-guide/clones/index.md b/content/en/user-guide/clones/index.md
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 description: Get started with Clones in LocalStack for Snowflake
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 ## Introduction
 
 Cloning in Snowflake allows you to create a quick, zero-copy duplicate of an existing database, schema, or table. This feature enables users to replicate data structures and content for testing or development without duplicating the underlying storage.

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 description: Get started with cross-database resource sharing in the Snowflake emulator
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 ## Introduction
 
 Snowflake data providers can easily share data from various databases using secure views. These views can include schemas, tables, and other views from one or more databases, as long as they're part of the same account.

diff --git a/content/en/user-guide/dynamic-tables/index.md b/content/en/user-guide/dynamic-tables/index.md
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 description: Get started with Dynamic Tables in LocalStack for Snowflake
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 ## Introduction
 
 Snowflake Dynamic Tables enable a background process to continuously load new data from sources into the table, supporting both delta and full load operations. A dynamic table automatically updates to reflect query results, removing the need for a separate target table and custom code for data transformation. This table is kept current through regularly scheduled refreshes by an automated process.

diff --git a/content/en/user-guide/ephemeral-instances/index.md b/content/en/user-guide/ephemeral-instances/index.md
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 description: Get started with Ephemeral Instances in LocalStack for Snowflake
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 ## Introduction
 
 Ephemeral Instances allows you to run a LocalStack for Snowflake instance in the cloud. You can interact with these instances by configuring your Snowflake host with the endpoint URL of the ephemeral instance.

diff --git a/content/en/user-guide/hybird-tables/index.md b/content/en/user-guide/hybird-tables/index.md
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 description: Get started with Hybrid Tables in LocalStack for Snowflake
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 ## Introduction
 
 Snowflake Hybrid tables, also known as Unistore hybrid tables, support fast, single-row operations by enforcing unique constraints for required primary keys and including indexes to speed up data retrieval. These tables are designed to optimize support for both analytical and transactional workloads simultaneously, underpinning Snowflake's Unistore architecture.

diff --git a/content/en/user-guide/iceberg-tables/index.md b/content/en/user-guide/iceberg-tables/index.md
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 description: Get started with Iceberg Tables in LocalStack for Snowflake
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 ## Introduction
 
 Iceberg tables uses [Apache Iceberg](https://iceberg.apache.org/) open table format specification to provide an abstraction layer on data files stored in open formats. Iceberg tables for Snowflake offer schema evolution, partitioning, and snapshot isolation to manage the table data efficiently.

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 description: Writing SQL scripts to initialize your Snowflake emulator
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 ## Introduction
 

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 ## Introduction
 
 Apache [Airflow](https://airflow.apache.org) is a platform for running data-centric workflows and scheduled compute jobs.

diff --git a/content/en/user-guide/integrations/continuous-integration/index.md b/content/en/user-guide/integrations/continuous-integration/index.md
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 description: Get started with Snowflake emulator in continuous integration (CI) environments
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 ## Introduction
 
 This guide explains how to set up the Snowflake emulator in a continuous integration (CI) environment. You can use the emulator to test your Snowflake integration without connecting to the real Snowflake instance.

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 description: Use DBeaver to interact with the Snowflake emulator
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 ## Introduction
 
 [DBeaver](https://dbeaver.io/) is a free and open-source universal database tool for developers, database administrators, and analysts. DBeaver provides a wide range of features, such as executing SQL statements, viewing and editing data, managing database objects, and more.

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 ## Introduction
 
 [dbt (data build tool)](https://www.getdbt.com/) is a transformation workflow tool that enables data analysts and engineers to transform data in their warehouses by writing modular SQL. dbt handles version control, documentation, and modularity for data transformations.

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 ## Introduction
 
 [Flyway](https://flywaydb.org/) is an open-source database migration tool that simplifies the process of managing and applying database migrations. Flyway supports various databases, including Snowflake, allowing you to manage database schema changes, version control, and data migration in a structured and automated way.

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 ## Introduction
 
 [Pulumi](https://pulumi.com/) is an Infrastructure-as-Code (IaC) framework that allows you to define and provision infrastructure using familiar programming languages. Pulumi supports a wide range of cloud providers and services, including AWS, Azure, Google Cloud, and more.

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 ## Introduction
 
 Snow CLI is a command-line interface (CLI) for Snowflake. You can use Snow CLI to interact with the Snowflake emulator. Snow CLI provides a set of commands to manage and interact with Snowflake accounts, databases, warehouses, and more.

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 ## Introduction
 
 [SnowSQL](https://docs.snowflake.com/en/user-guide/snowsql.html) is a command-line client for Snowflake that allows you to interact with the Snowflake service using SQL commands. SnowSQL provides a wide range of features, such as executing SQL statements, loading data, unloading data, and more.

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 ## Introduction
 
 [Terraform](https://terraform.io/) is an Infrastructure-as-Code (IaC) framework developed by HashiCorp. It enables users to define and provision infrastructure using a high-level configuration language. Terraform uses HashiCorp Configuration Language (HCL) as its configuration syntax.

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 description: Get started with Snowflake Drivers in LocalStack for Snowflake
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 ## Introduction
 
 Snowflake Drivers enable the use of programming languages like Go, C#, and Python for developing applications that interact with Snowflake. The Snowflake emulator facilitates testing Snowflake integration without connecting to the actual Snowflake instance. This guide provides instructions on connecting the Snowflake emulator with various drivers.

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 ## Introduction
 
 Snowpark library is a developer library for querying and processing data at scale in Snowflake. Snowflake currently provides Snowpark libraries for three languages: Java, Python, and Scala. The Snowflake emulator facilitates testing Snowpark queries without connecting to the actual Snowflake instance. This guide provides instructions on using the Snowflake emulator in conjunction with Snowpark.

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 ## Introduction
 
 Snowpipe allows you to load data into Snowflake tables from files stored in an external stage. Snowpipe continuously loads data from files in a stage into a table as soon as the files are available. Snowpipe uses a queue to manage the data loading process, which allows you to load data into Snowflake tables in near real-time.

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 ## Introduction
 
 Stages are a way to load data into Snowflake. You can use stages to load data from files in a variety of formats, including CSV, JSON, and Parquet. You can also use stages to load data from external cloud storage services, such as Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage.

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 description: Get started with State Management in LocalStack for Snowflake
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 ## Introduction
 
 State Management in LocalStack allows you to save and load the state of your LocalStack instance. LocalStack is ephemeral in nature, so when you stop and restart your LocalStack instance, all the data is lost. With State Management, you can save the state of your LocalStack instance and load it back when you restart your LocalStack instance.

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 ## Introduction
 
 Snowflake storage integrations enable access to external cloud storage like Amazon S3, Google Cloud Storage, and Azure Blob Storage. They manage authentication through generated IAM roles, enhancing security and simplifying data operations without exposing sensitive credentials. This approach centralizes and controls access, streamlining workflows across major cloud platforms.

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 ## Introduction
 
 Snowflake provides SQL commands to create and modify a `STREAMLIT` object. Streamlit is a Python library that allows you to create web applications with simple Python scripts. With Streamlit, you can create interactive web applications without having to learn complex web development technologies.

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 ## Introduction
 
 Streams allow you to track changes made to a table. Streams capture changes made to a table, such as inserts, updates, and deletes, and store the changes in a log that you can query to see what changes have been made. 

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 ## Introduction
 
 Snowflake tags allow you to categorize and manage Snowflake objects by associating custom metadata with them. These tags support governance, cost tracking, and data lineage by enabling organizations to label resources with business-relevant information.

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 description: Get started with Tasks in LocalStack for Snowflake
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 ## Introduction
 
 Tasks are user-defined objects that enable the automation of repetitive SQL operations in Snowflake. You can use tasks to schedule SQL statements, such as queries, DDL, and DML operations, to run at a specific time or at regular intervals.

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 ## Introduction
 
 User-Defined Functions (UDFs) are functions that you can create to extend the functionality of your SQL queries. Snowflake supports UDFs in different programming languages, including JavaScript, Python, Java, Scala, and SQL.

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 ## Introduction
 
 The Snowflake emulator provides a simple web user interface (UI) accessible via a web browser. The Web UI allows you to:

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+    <p>LocalStack's Snowflake emulator is currently in preview mode. We will be launching our general availability product for purchase on May 13th, 2025. Interested in learning more? Visit our <a href="https://www.localstack.cloud/localstack-for-snowflake">site</a>.</p>
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+    <p><strong>Note:</strong> Version 0.3.0 and beyond are only available to customers who have purchased a Snowflake license from LocalStack. If you accessed Snowflake via your AWS Emulator without a Snowflake license in prior versions, please reach out to us <a href="https://www.localstack.cloud/contact">here</a>.</p>
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