How to load data from Elasticsearch to Firebolt
Learn how to use Airbyte to synchronize your Elasticsearch data into Firebolt within minutes.


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How to Sync to Manually
Step 1: Export Data from Elasticsearch
First, you need to extract the required data from Elasticsearch. You can use the Elasticsearch Query DSL to specify the data you need. Use the `_search` API with the `scroll` parameter for large datasets, which helps in paginating through all documents. Export the data in JSON format for easier manipulation.
Step 2: Transform JSON Data
Once you have the JSON data, you'll need to transform it into a format that Firebolt can ingest, typically CSV or Parquet. Write a script, possibly in Python, to parse the JSON and convert each document into a row of a CSV file. Ensure that data types are compatible with Firebolt's requirements.
Step 3: Prepare Firebolt Table
Before importing the data, create a table in Firebolt that matches the structure of your transformed data. Use the Firebolt console or SQL commands to define the schema, ensuring column names and data types align with your exported data.
Step 4: Set Up Firebolt Environment
Configure your Firebolt environment for data import. This involves setting up a Firebolt database if you haven't already and ensuring you have the necessary permissions and roles to create tables and import data.
Step 5: Upload Data to Cloud Storage
Firebolt requires data to be uploaded to a cloud storage service like AWS S3 or Google Cloud Storage before it can be ingested. Use the cloud provider's CLI tools or web console to upload your transformed data files (CSV or Parquet) to a bucket.
Step 6: Load Data into Firebolt
Use Firebolt's `COPY` command to load data from your cloud storage into the Firebolt table. This command will reference the location of your data in the cloud, specifying the file format and any necessary options like delimiter if using CSV.
Step 7: Verify Data Integrity
After loading data into Firebolt, run validation queries to ensure the data has been imported correctly and completely. Compare counts and summaries with the original data in Elasticsearch to check for discrepancies. Consider creating checksums or using sample queries to verify integrity.
By following these steps, you can manually transfer data from Elasticsearch to Firebolt without relying on third-party tools or connectors, ensuring you maintain control over each stage of the process.