# e6data Query Engine Docs ## Unified Docs - Query Engine - [Introduction to e6 Query Engine](https://docs.e6data.com/query-engine/get-started/readme.md): Welcome to e6data's Query Engine documentation. Continue on, to go from zero to your first running query, regardless of which cloud you are on. - [About e6 Query Engine](https://docs.e6data.com/query-engine/get-started/readme/about-e6data.md): What e6data is and how the platform is organized - the starting point before you deploy and query. - [How e6 Query Engine works](https://docs.e6data.com/query-engine/get-started/readme/how-e6data-works.md): How e6data runs a query - from your SQL through planning and distributed execution, reading your data in place without moving it. - [Table of contents](https://docs.e6data.com/query-engine/get-started/readme-1.md) - [Architecture](https://docs.e6data.com/query-engine/get-started/architecture.md) - [High-level Architecture](https://docs.e6data.com/query-engine/get-started/architecture/high-level-architecture.md): This page provides a high-level overview of e6 query engine architecture. It introduces the key constructs of e6data query engine and describes the deployment models we support. - [Detailed architecture walkthrough](https://docs.e6data.com/query-engine/get-started/architecture/detailed-architecture-walkthrough.md) - [Key Characteristics](https://docs.e6data.com/query-engine/get-started/architecture/detailed-architecture-walkthrough/key-characteristics.md) - [The components](https://docs.e6data.com/query-engine/get-started/architecture/detailed-architecture-walkthrough/the-components.md) - [What happens when you run a query](https://docs.e6data.com/query-engine/get-started/architecture/detailed-architecture-walkthrough/what-happens-when-you-run-a-query.md) - [How the architecture compares](https://docs.e6data.com/query-engine/get-started/architecture/detailed-architecture-walkthrough/how-the-architecture-compares.md) - [Platform components](https://docs.e6data.com/query-engine/get-started/architecture/platform-components.md): What makes up the e6data Control Plane and Compute Plane, and where your data sits relative to each. - [Identity & Access Setup](https://docs.e6data.com/query-engine/get-started/identity-access-setup.md) - [Sign up and login](https://docs.e6data.com/query-engine/get-started/identity-access-setup/sign-up-and-login.md): Create your e6data account and sign in - passwordless email codes or your company's SSO. - [Organization setup](https://docs.e6data.com/query-engine/get-started/identity-access-setup/organization-setup.md): Set up your e6data organization - invite members, assign roles, and enable domain auto-join. - [Accept invites](https://docs.e6data.com/query-engine/get-started/identity-access-setup/accept-invites.md): Accept an invitation to join an existing e6data organization. - [SSO overview](https://docs.e6data.com/query-engine/get-started/identity-access-setup/sso-overview.md): What Single Sign-On is and that e6data supports it - with a pointer to the full setup guide. - [Deployment Models](https://docs.e6data.com/query-engine/get-started/deployment-models.md): The two e6data deployment models - Serverless (e6data runs the compute) and In Your VPC (compute runs in your Kubernetes cluster) - and how to choose. - [Quickstart](https://docs.e6data.com/query-engine/get-started/quickstart.md): From signup to your first query in under 30 minutes. Pick your cloud and follow the path. - [Choose setup path](https://docs.e6data.com/query-engine/get-started/quickstart/choose-setup-path.md): Pick your cloud and deployment model, then jump to the matching e6data setup guide. - [Run first query](https://docs.e6data.com/query-engine/get-started/quickstart/run-first-query.md): Run your first real query in e6data after setup - open the SQL Editor, pick a cluster and catalog, and confirm results. - [Overview](https://docs.e6data.com/query-engine/guides/guides.md): Task-based guides for deploying, securing, connecting, and operating e6data - from workspace setup to querying. - [Table of contents](https://docs.e6data.com/query-engine/guides/guides/summary.md) - [Deployment](https://docs.e6data.com/query-engine/guides/deployment.md) - [AWS Serverless](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless.md): Deploy e6data as a Serverless workspace on AWS - the end-to-end path from creating a workspace to running your first query. - [Architecture](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/architecture.md): How a Serverless e6data deployment on AWS works - managed compute in e6data's account, your data read in place via a cross-account IAM role. - [Prerequisites](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/prerequisites.md): What you need before deploying a Serverless e6data workspace on AWS. - [Configure AWS access](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/configure-aws-access.md): Create the cross-account IAM role e6data uses to read your S3 data and Glue catalog, then register its ARN in e6data. - [Connect S3 and Glue](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/connect-s3-and-glue.md): Create an AWS Glue catalog over your S3 data in a Serverless e6data workspace, using the cross-account IAM role. - [Create cluster](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/create-cluster.md): Create and configure a cluster to run queries in a Serverless e6data workspace on AWS. - [Run first query](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/run-first-query.md): Confirm your Serverless e6data deployment on AWS works by running a query against your catalog. - [FAQs](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/faqs.md): Common questions about data access, permissions, and revocation for a Serverless e6data deployment on AWS. - [Troubleshooting](https://docs.e6data.com/query-engine/guides/deployment/aws-serverless/troubleshooting.md): Resolve common IAM, cross-account, and catalog connection errors in a Serverless e6data deployment on AWS. - [AWS In-VPC / CloudPrem](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc.md): Deploy e6data inside your own AWS VPC on Amazon EKS - the end-to-end CloudPrem deployment, from infrastructure to your first query. - [Architecture](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/architecture.md): How an In-VPC (CloudPrem) e6data deployment on AWS runs entirely inside your own VPC on EKS, with only admin and observability traffic reaching e6data. - [Prerequisites](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/prerequisites.md): Tools, access, and onboarding items required before an In-VPC e6data deployment on AWS. - [Configure registry, VPC, EKS, and networking](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/configure-registry-vpc-eks-networking.md): Build the AWS infrastructure (VPC, IAM, EKS, networking, ECR access) and install the Kubernetes platform components for an In-VPC e6data deployment. - [Deploy workspace and e6data](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/deploy-workspace-and-e6data.md): Create the workspace namespace and NodePool, deploy the e6data workspace components with Helm, wait for reconciliation, and configure DNS. - [Register catalog](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/register-catalog.md): Grant the In-VPC engine access to your data lake and register a catalog in your e6data workspace. - [Create cluster](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/create-cluster.md): Create a cluster in your In-VPC workspace to run queries on the EKS compute Karpenter provisions. - [Run first query](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/run-first-query.md): Validate an In-VPC e6data install by verifying the cluster and workspace components, then running your first query. - [Component versions and operations](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/component-versions-and-operations.md): The Kubernetes workloads an In-VPC e6data deployment runs, the resource footprint, and the operational pattern for installs and upgrades. - [Delete workspace](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/delete-workspace.md): Tear down an In-VPC e6data workspace and its AWS resources in the reverse order they were created. - [Security best practices](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/security-best-practices.md): Security best practices for hardening an e6data In Your VPC deployment on AWS - identity, network, and EKS configuration. - [FAQs](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/faqs.md): Frequently asked questions about deploying and operating e6data In Your VPC on AWS - networking, encryption, instance types, and Kubernetes setup. - [Troubleshooting](https://docs.e6data.com/query-engine/guides/deployment/aws-in-vpc/troubleshooting.md): Diagnose common issues in an In-VPC e6data deployment - scheduling, image pulls, the operator, reconciliation, Pod Identity, load balancers, and monitoring. - [Azure Serverless](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless.md): Deploy e6data as a Serverless workspace on Azure - the end-to-end path from creating a workspace to running your first query. - [Architecture](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/architecture.md): How a Serverless e6data deployment on Azure works - managed compute in e6data's subscription, your ADLS Gen2 data read keylessly via Workload Identity. - [Prerequisites](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/prerequisites.md): What you need before deploying a Serverless e6data workspace on Azure. - [Configure Azure access](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/configure-azure-access.md): Grant e6data keyless read access to your Azure storage - provision a User-Assigned Managed Identity and register it as a Storage Credential. - [Connect ADLS and catalog](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/connect-adls-and-catalog.md): Create a catalog over your ADLS Gen2 data in a Serverless e6data workspace on Azure, using a shared Storage Credential. - [Create cluster](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/create-cluster.md): Create and configure a cluster to run queries in a Serverless e6data workspace on Azure. - [Run first query](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/run-first-query.md): Confirm your Serverless e6data deployment on Azure works by running a query against your catalog. - [FAQs](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/faqs.md): Common questions about data access, permissions, and revocation for a Serverless e6data deployment on Azure. - [Troubleshooting](https://docs.e6data.com/query-engine/guides/deployment/azure-serverless/troubleshooting.md): Resolve common Managed Identity, federated-credential, and storage-access errors in a Serverless e6data deployment on Azure. - [Azure In-VPC / CloudPrem](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc.md): Deploy e6data inside your own Azure VNet on AKS - the end-to-end CloudPrem deployment, from infrastructure to your first query. - [Architecture](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/architecture.md): How an In-VPC (CloudPrem) e6data deployment on Azure runs inside your own VNet on AKS, with engine pods on your node pools and data in your subscription. - [Prerequisites](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/prerequisites.md): Tools, Azure permissions, outbound network access, and onboarding items required before an In-VPC e6data deployment on AKS. - [Configure registry, Kubernetes, and networking](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/configure-registry-kubernetes-networking.md): Build the Azure infrastructure (VNet, AKS, identities, ADLS storage) and install the Kubernetes platform components for an In-VPC e6data deployment on AKS. - [Deploy workspace and e6data](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/deploy-workspace-and-e6data.md): Deploy an e6data workspace on AKS - namespace, TLS, service accounts and RBAC, NamespaceConfig, QueryRouter, and DNS, using explicit kubectl and YAML. - [Register catalog](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/register-catalog.md): Grant the In-VPC engine access to your data and register a catalog in your Azure-hosted e6data workspace. - [Create cluster](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/create-cluster.md): Create a cluster in your Azure In-VPC workspace to run queries on the AKS compute you provisioned. - [Run first query](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/run-first-query.md): Validate an Azure In-VPC e6data install by verifying the workspace pods, then running your first query. - [Component versions and operations](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/component-versions-and-operations.md): Component versions for the Azure In-VPC deployment, the Kubernetes workloads it runs, how to upgrade them, the upgrade order, and how to roll back. - [Delete workspace](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/delete-workspace.md): Tear down an e6data workspace in your AKS cluster with kubectl and az, and what to intentionally leave in place. - [Troubleshooting](https://docs.e6data.com/query-engine/guides/deployment/azure-in-vpc/troubleshooting.md): Common issues when deploying or running e6data In Your VPC on Azure, with diagnostic commands and fixes. - [Workspaces](https://docs.e6data.com/query-engine/guides/workspaces.md): A workspace is an isolated environment for a team or project - its own catalogs, clusters, access control, and run history. - [Create and manage workspaces](https://docs.e6data.com/query-engine/guides/workspaces/create-and-manage-workspaces.md): Create a workspace in the e6data Console - pick Serverless or In Your VPC, your cloud and region - and update it when a new version is released. - [Workspace settings](https://docs.e6data.com/query-engine/guides/workspaces/workspace-settings.md): Enable or disable a workspace - what each does, when to use it, and how it differs from deleting. - [Delete workspace](https://docs.e6data.com/query-engine/guides/workspaces/delete-workspace.md): Permanently delete a workspace from the e6data Console after detaching its clusters, catalogs, and endpoints. - [Security](https://docs.e6data.com/query-engine/guides/security.md) - [Identity and RBAC](https://docs.e6data.com/query-engine/guides/security/identity-and-rbac.md): How e6data controls who can access your platform and what they can do, across the Control Plane and the Compute Plane. - [Control Plane vs Compute Plane permissions](https://docs.e6data.com/query-engine/guides/security/identity-and-rbac/control-plane-vs-compute-plane-permissions.md): The two permission grammars in e6data - Control Plane named permissions and Compute Plane resource-and-action rules - and how roles and bindings compose them. - [Users, groups, and service accounts](https://docs.e6data.com/query-engine/guides/security/identity-and-rbac/users-groups-service-accounts.md): How human users, groups, and service accounts are created, synced to workspaces, and managed in e6data. - [Roles and permissions](https://docs.e6data.com/query-engine/guides/security/identity-and-rbac/roles-and-permissions.md): The built-in Admin, Manager, and Viewer roles, what each can do, and how to design custom roles in e6data. - [Access tokens](https://docs.e6data.com/query-engine/guides/security/access-tokens.md): How people and applications authenticate to an e6data workspace with access tokens - the credential types, what they carry, and how token auth relates to RBAC. - [Personal access tokens and service account keys](https://docs.e6data.com/query-engine/guides/security/access-tokens/pat-and-service-account-keys.md): The two e6data credential types in detail - personal access tokens and service account keys - their formats and when to use each. - [Create, use, rotate, and revoke tokens](https://docs.e6data.com/query-engine/guides/security/access-tokens/create-use-rotate-revoke.md): Create personal access tokens and service account API keys, use them over REST and JDBC/ODBC, set an expiry, rotate, and revoke them. - [Token security best practices](https://docs.e6data.com/query-engine/guides/security/access-tokens/token-security-best-practices.md): How to store e6data tokens safely, scope them with least privilege, revoke them, manage them as an admin, and understand what the audit trail records. - [Authentication](https://docs.e6data.com/query-engine/guides/security/authentication.md): How users sign in to e6data - local accounts, single sign-on, and TLS. - [SSO setup](https://docs.e6data.com/query-engine/guides/security/authentication/sso-setup.md): Connect your identity provider to e6data via SAML 2.0 or OIDC so members sign in with corporate credentials, with just-in-time provisioning. - [Domain auto-join and JIT provisioning](https://docs.e6data.com/query-engine/guides/security/authentication/domain-auto-join-and-jit.md): Let users join your organization automatically by email domain, and provision SSO users just-in-time on first sign-in. - [TLS certificates](https://docs.e6data.com/query-engine/guides/security/authentication/tls-certificates.md): How TLS certificates work for e6data endpoints - Serverless (managed by e6data) vs In-VPC (managed by you). - [Support access](https://docs.e6data.com/query-engine/guides/security/support-access.md): How e6data Support Users work - scoped, aliased, fully audited e6data engineer access that you can revoke at any time. - [Enable, audit, and block support access](https://docs.e6data.com/query-engine/guides/security/support-access/enable-audit-block.md): Add, block, unblock, and list e6data Support Users over the API, the permissions required, and how their actions appear in your audit log. - [Privacy controls](https://docs.e6data.com/query-engine/guides/security/support-access/privacy-controls.md): The per-tenant alias model behind e6data Support Users - how identities stay private, how audit history stays correct, and the security guarantees. - [Catalogs](https://docs.e6data.com/query-engine/guides/catalogs.md) - [Register and manage catalogs](https://docs.e6data.com/query-engine/guides/catalogs/register-and-manage-catalogs.md) - [Hive Metastore](https://docs.e6data.com/query-engine/guides/catalogs/hive-metastore.md) - [Set up a Hive Metastore](https://docs.e6data.com/query-engine/guides/catalogs/set-up-hive-metastore.md): Step-by-step guide to setting up a Hive Metastore with Terraform if you don't already have one. - [AWS Glue Catalog](https://docs.e6data.com/query-engine/guides/catalogs/aws-glue-catalog.md) - [Unity Catalog](https://docs.e6data.com/query-engine/guides/catalogs/unity-catalog.md) - [Microsoft Fabric](https://docs.e6data.com/query-engine/guides/catalogs/microsoft-fabric.md) - [Apache Polaris](https://docs.e6data.com/query-engine/guides/catalogs/apache-polaris.md) - [Iceberg REST Catalog](https://docs.e6data.com/query-engine/guides/catalogs/iceberg-rest-catalog.md) - [Amazon S3 Tables](https://docs.e6data.com/query-engine/guides/catalogs/amazon-s3-tables.md) - [Cross-account access](https://docs.e6data.com/query-engine/guides/catalogs/cross-account.md) - [Cross-account access to AWS Glue](https://docs.e6data.com/query-engine/guides/catalogs/cross-account/aws-glue.md): Connect an e6data workspace to an AWS Glue metastore and S3 data in a different AWS account. - [Cross-account access to a Hive Metastore (AWS)](https://docs.e6data.com/query-engine/guides/catalogs/cross-account/aws-hive-metastore.md): Connect an e6data workspace to a Hive Metastore and S3 data in a different AWS account. - [Cross-account access to Unity Catalog](https://docs.e6data.com/query-engine/guides/catalogs/cross-account/unity-catalog.md): Connect an e6data workspace to a Unity Catalog and S3 data in a different cloud account. - [Troubleshooting catalogs](https://docs.e6data.com/query-engine/guides/catalogs/troubleshooting-catalogs.md): Resolve common catalog connection, cross-account, and refresh failures in e6data. - [Table formats](https://docs.e6data.com/query-engine/guides/table-formats.md) - [Iceberg](https://docs.e6data.com/query-engine/guides/table-formats/iceberg.md) - [Delta Lake](https://docs.e6data.com/query-engine/guides/table-formats/delta-lake.md): How e6data queries Delta Lake tables through external catalogs, what's supported, and how to connect. - [Hive tables](https://docs.e6data.com/query-engine/guides/table-formats/hive-tables.md): How e6data queries Hive tables through a Hive Metastore or compatible catalog. - [Data governance](https://docs.e6data.com/query-engine/guides/data-governance.md): How e6data governs access to data within a catalog - catalog-level access control, column masking, and row filtering, enforced deny-by-default. - [Catalog-level access control](https://docs.e6data.com/query-engine/guides/data-governance/catalog-level-access-control.md): Grant or deny query access at the catalog, database, table, and column level with allow and deny privileges. - [Data access policies](https://docs.e6data.com/query-engine/guides/data-governance/data-access-policies.md): Apply column masking and row filtering to control which data users can see within a catalog. - [Relationship to platform RBAC](https://docs.e6data.com/query-engine/guides/data-governance/relationship-to-platform-rbac.md): How data governance and platform RBAC differ and work together - who can do what vs. which data they can see. - [FAQs](https://docs.e6data.com/query-engine/guides/data-governance/faqs.md): Frequently asked questions about catalog privileges and data access policies in e6data. - [Clusters](https://docs.e6data.com/query-engine/guides/clusters.md) - [Create and manage clusters](https://docs.e6data.com/query-engine/guides/clusters/create-and-manage-clusters.md): Create a cluster, configure its settings, connect to it, and manage its version and lifecycle. - [Cluster sizing and scaling](https://docs.e6data.com/query-engine/guides/clusters/cluster-sizing-and-scaling.md): Choose a cluster sizing and scaling mode - fixed, autoscaling, QPS-based, or scale-to-zero - plus execution modes and result caching. - [Suspend and resume](https://docs.e6data.com/query-engine/guides/clusters/suspend-and-resume.md): How clusters suspend to save cost and resume automatically when a query arrives - auto-suspend, manual suspend, auto-resume, and what's preserved. - [Lifecycle states and error codes](https://docs.e6data.com/query-engine/guides/clusters/lifecycle-states-and-error-codes.md): The cluster lifecycle states and the customer-facing error codes, with what each means and what to do. - [Zero-downtime upgrades](https://docs.e6data.com/query-engine/guides/clusters/zero-downtime-upgrades.md): How e6data upgrades a cluster's version without interrupting queries, and how it recovers if the new version is unhealthy. - [CloudPrem cluster operations](https://docs.e6data.com/query-engine/guides/clusters/cloudprem-cluster-operations.md): Manage e6data clusters in an In-VPC deployment with Kubernetes CRDs, kubectl, and GitOps - create, configure, scale, suspend, upgrade, and inspect. - [Troubleshooting clusters](https://docs.e6data.com/query-engine/guides/clusters/troubleshooting-clusters.md): Common cluster problems - stuck states, timeouts, degraded executors, and connection issues - with fixes. - [Querying](https://docs.e6data.com/query-engine/guides/querying.md) - [Query editor](https://docs.e6data.com/query-engine/guides/querying/query-editor.md): Write, format, and run SQL in the e6data Query Editor - tabs, the query action bar, the SQL editor, and the Schema Explorer. - [Run queries and view results](https://docs.e6data.com/query-engine/guides/querying/run-queries-and-view-results.md): Run SQL in the e6data Query Editor, track query status, view and export results, inspect execution details, and preview data. - [Query history and saved queries](https://docs.e6data.com/query-engine/guides/querying/query-history-and-saved-queries.md): Review every query run in a workspace in Run History - timing, status, user, and query text - and get query counts programmatically. - [Query performance basics](https://docs.e6data.com/query-engine/guides/querying/query-performance-basics.md): Practical levers for faster, cheaper queries in e6data - sizing, caching, execution mode, the transpiler, and reading execution details. - [Operations](https://docs.e6data.com/query-engine/guides/operations.md) - [Upgrades and releases](https://docs.e6data.com/query-engine/guides/operations/upgrades-and-releases.md): How administrators choose software versions and roll out upgrades across e6data - clusters, products, and platform components. - [Version selection and admin guide](https://docs.e6data.com/query-engine/guides/operations/upgrades-and-releases/version-selection-and-admin-guide.md): How workspace administrators select versions, refresh the available-version list, enable products, and grant upgrade permissions. - [Product and cluster upgrades](https://docs.e6data.com/query-engine/guides/operations/upgrades-and-releases/product-and-cluster-upgrades.md): Step-by-step upgrades for each surface - a cluster's version, a product version, and a platform components release. - [Rollbacks, failure modes, and recovery](https://docs.e6data.com/query-engine/guides/operations/upgrades-and-releases/rollbacks-failure-modes-recovery.md): How cluster and platform rollouts behave, how automatic rollback works, expected downtime, and what to do when an upgrade fails. - [Status signals](https://docs.e6data.com/query-engine/guides/operations/upgrades-and-releases/status-signals.md): Where each upgrade surface reports progress - cluster status and Activity History, product rows, and the Platform Components section. - [Monitoring](https://docs.e6data.com/query-engine/guides/operations/monitoring.md): Monitor cluster health, query performance, and resource utilization from the Compute Plane, and export telemetry to your own stack. - [Health checks](https://docs.e6data.com/query-engine/guides/operations/monitoring/health-checks.md): Confirm a workspace and its clusters are healthy - what to check in the Console and, for In-VPC, in your Kubernetes cluster. - [Metrics and alerts](https://docs.e6data.com/query-engine/guides/operations/monitoring/metrics-and-alerts.md): The metrics e6data exposes, the dashboards worth building, and the alerts to set on your observability stack. - [Observability export](https://docs.e6data.com/query-engine/guides/operations/monitoring/observability-export.md): Export e6data telemetry to your own observability stack via OpenTelemetry - metrics, logs, and traces. - [Account & users](https://docs.e6data.com/query-engine/guides/account-and-users.md) - [Account and user profile](https://docs.e6data.com/query-engine/guides/account-and-users/account-and-user-profile.md): View and edit your e6data profile - name, email, user ID, organization, and roles. - [Account settings](https://docs.e6data.com/query-engine/guides/account-and-users/account-settings.md): Manage your e6data account and user settings - profile details, and personal access tokens. - [Overview](https://docs.e6data.com/query-engine/developers/readme-2.md): Connect to e6data programmatically or query it - JDBC, REST API, PostgreSQL protocol, Python, PySpark - and automate it with the Management API. - [Table of contents](https://docs.e6data.com/query-engine/developers/readme-2/summary.md) - [Connecting to the engine](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine.md): Connect BI tools, SQL clients, drivers, and your own code to an e6data cluster - one endpoint that speaks three protocols. - [One-endpoint / three-protocols model](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine/one-endpoint-three-protocols.md): How e6data exposes one authenticated endpoint speaking gRPC, HTTP REST, and the PostgreSQL wire protocol, with routing by cluster name. - [JDBC](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine/jdbc.md): Connect to e6data with the JDBC driver - connection URL, credentials, and SQL clients that use it. - [PostgreSQL protocol](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine/postgresql-protocol.md): Connect a stock PostgreSQL client to e6data over the PostgreSQL wire protocol - no e6data driver required. - [REST API for SQL queries](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine/rest-api-for-sql.md): Run SQL on e6data over the language-agnostic HTTP REST v2 API - authenticate, submit a statement, poll, and page through results. - [Python connector](https://docs.e6data.com/query-engine/developers/connecting-to-the-engine/python-connector.md): Query e6data from Python with the e6data Python connector - install, connect, and run queries. - [BI tool recipes](https://docs.e6data.com/query-engine/developers/bi-tool-recipes.md) - [Tableau](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/tableau.md): Connect Tableau Desktop and Tableau Cloud to an e6data cluster over JDBC. - [Power BI](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/power-bi.md): Connect Power BI to an e6data cluster using the Starburst ODBC driver, with optional on-premises data gateway setup. - [DBeaver](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/dbeaver.md): Connect the DBeaver SQL client to an e6data cluster using the e6data JDBC driver. - [DbVisualizer](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/dbvisualizer.md): Connect the DbVisualizer SQL client to an e6data cluster using the e6data JDBC driver. - [Superset](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/superset.md): Connect Apache Superset to an e6data cluster using the e6data Python package and a SQLAlchemy URI. - [Metabase](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/metabase.md): Connect Metabase to the e6data query engine using the e6data driver. - [Notebooks](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/notebooks.md): Connect Jupyter Notebook (via the Python connector) and Apache Zeppelin (via JDBC) to an e6data cluster. - [Management API](https://docs.e6data.com/query-engine/developers/management-api.md): Automate e6data from your own code - manage clusters, catalogs, schedules, and access policies over the Management REST API. - [Authentication](https://docs.e6data.com/query-engine/developers/management-api/authentication.md): Choose and send the right credential for automating e6data - service tokens with least-privilege permissions. - [Automate clusters, catalogs, schedules, and policies](https://docs.e6data.com/query-engine/developers/management-api/automate-clusters-catalogs-schedules-policies.md): Manage clusters, catalogs, scheduled refreshes, and access policies over the e6data Management API, with recipes for scaling, suspending, and refreshing. - [RBAC as code](https://docs.e6data.com/query-engine/developers/management-api/rbac-as-code.md): Manage e6data roles, groups, and bindings programmatically over the Management API, so access is version-controlled and flows by group membership. - [Developer checklist](https://docs.e6data.com/query-engine/developers/management-api/developer-checklist.md): What to confirm before shipping an e6data integration - auth, base paths, polling, pagination, errors, idempotency, propagation, and secrets. - [PySpark compatibility](https://docs.e6data.com/query-engine/developers/pyspark-compatibility.md): Run existing PySpark and Apache Sedona code on e6data with a drop-in compatibility library - install, configure the connection, and run. - [Supported APIs and compatibility notes](https://docs.e6data.com/query-engine/developers/pyspark-compatibility/supported-apis-and-compatibility.md): The PySpark DataFrame operations, SQL functions, and read/write formats supported by the e6data compatibility layer, with end-to-end code samples. - [Limitations](https://docs.e6data.com/query-engine/developers/pyspark-compatibility/limitations.md): What the e6data PySpark compatibility layer does not support, and how unsupported operations behave. - [Overview](https://docs.e6data.com/query-engine/reference/reference.md): Reference material for e6data - SQL functions, error codes, regions, limitations, and platform behavior. - [Table of contents](https://docs.e6data.com/query-engine/reference/reference/summary.md) - [SQL reference](https://docs.e6data.com/query-engine/reference/sql-reference.md): e6data supports the following categories of functions: - [Supported Data Types](https://docs.e6data.com/query-engine/reference/sql-reference/data-types.md): This document contains the datatypes supported by e6data - [Equivalent Functions & Operators](https://docs.e6data.com/query-engine/reference/sql-reference/function-mapping.md): Compare values and expressions for equality and similarity. - [SQL commands](https://docs.e6data.com/query-engine/reference/sql-reference/sql-commands.md): SQL commands supported by e6data, including COPY INTO for unloading results and the supported query syntax. - [Unload Function (Copy into)](https://docs.e6data.com/query-engine/reference/sql-reference/sql-commands/copy-into.md): Export query results to external storage efficiently. - [Query Syntax](https://docs.e6data.com/query-engine/reference/sql-reference/sql-commands/query-syntax.md): Guidelines and structure for writing queries effectively. - [General functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-commands/query-syntax/general-functions.md): Commonly used functions for data processing. - [SQL functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions.md): e6data SQL functions by category - aggregate, array, date and time, JSON, mathematical, string, window, and more. - [Aggregate Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/aggregate.md): Aggregate functions operate on multiple sets of values and return a single value. - [Array Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/array.md): Array functions supported by e6data - [Bitwise Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/bitwise.md): Bitwise functions supported by e6data - [Cardinality Estimation Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/cardinality-estimation.md): pproximate the number of unique elements in a dataset. - [Checksum Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/checksum.md): Generate and verify hash values for data integrity. - [Comparison Operators & Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/comparison.md): This page contains the Comparison operators supported by e6data. - [Conditional Expressions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/conditional.md): Execute logic-based operations based on specified conditions. - [Conversion Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/conversion.md): This page contains the explicit conversion functions supported by e6data. - [Date-Time Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time.md): This document contains the date-time functions supported by e6data - [Addition and Subtraction Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/addition-subtraction.md): Perform arithmetic operations on numerical and date values. - [Constant Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/constants.md): Return fixed values that remain unchanged in computations. - [Conversion Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/conversion.md): Transform data types and formats for compatibility. - [Date Truncate Function](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/date-truncate.md): Trim date and time values to a specified precision. - [Extraction Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/extraction.md): Retrieve specific components from dates, times, and strings. - [Format Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/format.md): Modify the appearance of dates, numbers, and text values - [Timezone Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/date-time/timezone.md): Convert and manipulate timestamps across different time zones. - [Generate Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/generate.md): Create sequences, arrays, or structured data dynamically. - [Geospatial Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/geospatial.md): SQL geospatial and H3 functions for working with location data - points, coordinates, polygons, and spatial indexes. - [JSON Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/json.md): Parse, manipulate, and extract data from JSON structures. - [Logical Operators](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/logical-operators.md): This page contains logical operators supported by e6data. - [Mathematical Functions & Operators](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical.md): This page contains the Mathematical functions and operators supported by e6data. - [Arithematic Operators](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical/arithmetic-operators.md): Perform mathematical operations in queries. - [Exponential and Root Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical/exponential-root.md): Perform exponential calculations and extract roots of numbers. - [Logarithmic Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical/logarithmic.md): Calculate logarithms using various bases for numerical analysis. - [Rounding and Truncation Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical/rounding-truncation.md): Adjust numerical values by rounding or truncating. - [Trigonometric Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/mathematical/trigonometric.md): Compute sine, cosine, tangent, and other trigonometric values. - [Regular Expression Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/regex.md): Perform pattern matching and text manipulation using regex. - [Statistical Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/statistical.md): Uncategorized additional functions supported by e6data - [String Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/string.md): This document contains the string functions supported by e6data. - [Struct Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/struct.md): Work with structured data by creating and manipulating nested fields. - [Window Functions](https://docs.e6data.com/query-engine/reference/sql-reference/sql-functions/window.md): This page contains window functions supported by e6data. - [Error codes](https://docs.e6data.com/query-engine/reference/error-codes.md): Error codes returned by e6data, organized by component. Each page lists codes, meanings, and fixes. - [Catalog Errors](https://docs.e6data.com/query-engine/reference/error-codes/catalog.md): Address issues encountered while managing catalogs and metadata. - [Cluster Errors](https://docs.e6data.com/query-engine/reference/error-codes/cluster.md): Troubleshoot failures and performance issues in cluster operations. - [Connectivity Errors](https://docs.e6data.com/query-engine/reference/error-codes/connectivity.md): Troubleshoot network and connection-related issues. - [Data Governance Errors](https://docs.e6data.com/query-engine/reference/error-codes/data-governance.md): Resolve issues related to access control, policies, and compliance. - [General Errors](https://docs.e6data.com/query-engine/reference/error-codes/general.md): Identify and resolve common system and user-related issues. - [Query Editor Errors](https://docs.e6data.com/query-engine/reference/error-codes/query-editor.md): Troubleshoot issues related to query execution and interface functionality. - [Query History Errors](https://docs.e6data.com/query-engine/reference/error-codes/query-history.md): Address issues with logging, tracking, and retrieving query history. - [REST API errors](https://docs.e6data.com/query-engine/reference/error-codes/rest-api.md): Error codes returned by the e6data REST API, what they mean, and how to fix them. - [User Account Errors](https://docs.e6data.com/query-engine/reference/error-codes/user-account.md): Troubleshoot authentication, access, and profile-related issues. - [Workspace Errors](https://docs.e6data.com/query-engine/reference/error-codes/workspace.md): Diagnose and resolve issues related to workspace setup and usage. - [Known Limitations](https://docs.e6data.com/query-engine/reference/limitations.md): Identify current constraints and restrictions in the system. - [Cloud provider](https://docs.e6data.com/query-engine/reference/limitations/cloud-provider.md): Cloud-provider-specific limits and constraints when running e6data. - [Restart Triggers](https://docs.e6data.com/query-engine/reference/limitations/restart-triggers.md): Manage and configure conditions for automatic process restarts. - [SQL Limitations](https://docs.e6data.com/query-engine/reference/limitations/sql.md): Understand constraints and unsupported features in SQL execution. - [Other Limitations](https://docs.e6data.com/query-engine/reference/limitations/other.md): Recognize additional constraints affecting functionality and performance. - [Services and dependencies](https://docs.e6data.com/query-engine/reference/services-and-dependencies.md): Supported cloud regions and external dependencies for e6data deployments. - [AWS supported regions](https://docs.e6data.com/query-engine/reference/services-and-dependencies/aws-regions.md): This page lists the AWS regions where e6data can be deployed, ensuring optimal performance and compliance with regional requirements. - [Azure regions](https://docs.e6data.com/query-engine/reference/services-and-dependencies/azure-regions.md): Azure regions supported for e6data Serverless and In Your VPC deployments. - [Connectivity reference](https://docs.e6data.com/query-engine/reference/connectivity-reference.md) - [JDBC parameters](https://docs.e6data.com/query-engine/reference/connectivity-reference/jdbc-parameters.md): Reference for the e6data JDBC connection URL and its parameters. - [PostgreSQL protocol parameters](https://docs.e6data.com/query-engine/reference/connectivity-reference/postgresql-protocol-parameters.md): Reference for connecting to e6data over the PostgreSQL wire protocol - host, port, database encoding, and SSL. - [REST v2 endpoints](https://docs.e6data.com/query-engine/reference/connectivity-reference/rest-v2-endpoints.md): Reference for the e6data HTTP REST v2 SQL endpoints, headers, and statement states. - [Python connector reference](https://docs.e6data.com/query-engine/reference/connectivity-reference/python-connector-reference.md): Reference for the e6data Python connector - installation, connection parameters, and the cursor API. - [Platform reference](https://docs.e6data.com/query-engine/reference/platform-reference.md) - [Version upgrades](https://docs.e6data.com/query-engine/reference/platform-reference/version-upgrades.md): How to upgrade Platform Components and the Metadata Service for your workspace, and what to expect. - [Release notes format](https://docs.e6data.com/query-engine/reference/platform-reference/release-notes-format.md): What each section of an e6data release note covers, so you can scan releases efficiently. - [Permissions matrix](https://docs.e6data.com/query-engine/reference/platform-reference/permissions-matrix.md): The complete set of Control Plane named permissions, grouped by resource family, as a lookup table. - [Resource naming conventions](https://docs.e6data.com/query-engine/reference/platform-reference/resource-naming-conventions.md): Naming rules for e6data workspaces, clusters, and catalogs - allowed characters, length limits, and how names are normalized. - [Token reference](https://docs.e6data.com/query-engine/reference/token-reference.md) - [Personal access token](https://docs.e6data.com/query-engine/reference/token-reference/personal-access-token.md): The structure of an e6data personal access token (PAT) and how it's stored. - [Service account key format](https://docs.e6data.com/query-engine/reference/token-reference/service-account-key-format.md): The structure of an e6data service account API key and how it's stored. - [Token lifecycle states](https://docs.e6data.com/query-engine/reference/token-reference/token-lifecycle-states.md): The states an e6data access token moves through - active, expired, and revoked - and how each is enforced. - [Token expiry rules](https://docs.e6data.com/query-engine/reference/token-reference/token-expiry-rules.md): How access-token expiry works in e6data - units, defaults, maximums, and enforcement. - [Cluster reference](https://docs.e6data.com/query-engine/reference/cluster-reference.md) - [Cluster states](https://docs.e6data.com/query-engine/reference/cluster-reference/cluster-states.md): The lifecycle states an e6data cluster can be in, and what each means. - [Scaling modes](https://docs.e6data.com/query-engine/reference/cluster-reference/scaling-modes.md): The cluster scaling modes in e6data - fixed, autoscaling, QPS-based, and scale-to-zero - at a glance. - [Upgrade states](https://docs.e6data.com/query-engine/reference/cluster-reference/upgrade-states.md): The states a cluster or platform upgrade moves through, and the cluster upgrade deployment phases. - [Configuration reference](https://docs.e6data.com/query-engine/reference/configuration-reference.md) - [AWS configuration](https://docs.e6data.com/query-engine/reference/configuration-reference/aws-configuration.md): Reference for the AWS resources and configuration values used in an In-VPC e6data deployment on EKS. - [Azure configuration](https://docs.e6data.com/query-engine/reference/configuration-reference/azure-configuration.md): Reference for the Azure resources and configuration values used in an In-VPC e6data deployment on AKS. - [Kubernetes configuration](https://docs.e6data.com/query-engine/reference/configuration-reference/kubernetes-configuration.md): Reference for the Kubernetes resources an In-VPC e6data deployment installs - CRDs, storage class, node provisioning, and namespaces. - [Helm values](https://docs.e6data.com/query-engine/reference/configuration-reference/helm-values.md): Reference for the key Helm values used to deploy the e6data operator and workspace components In Your VPC. - [Environment variables](https://docs.e6data.com/query-engine/reference/configuration-reference/environment-variables.md): Environment variables used in an e6data In-VPC deployment and by client connectors. - [Limits and quotas](https://docs.e6data.com/query-engine/reference/limits-and-quotas.md) - [Workspace limits](https://docs.e6data.com/query-engine/reference/limits-and-quotas/workspace-limits.md): Naming rules and limits for workspaces, service accounts, and tokens in e6data. - [Cluster limits](https://docs.e6data.com/query-engine/reference/limits-and-quotas/cluster-limits.md): Naming rules, sizing bounds, and scaling/suspension limits for e6data clusters. - [Query limits](https://docs.e6data.com/query-engine/reference/limits-and-quotas/query-limits.md): Query timeout, result-display, and session limits for queries in e6data. - [API limits](https://docs.e6data.com/query-engine/reference/limits-and-quotas/api-limits.md): Behaviors that shape API usage in e6data - pagination, result chunking, async polling, idempotency, and eventual consistency. - [Token limits](https://docs.e6data.com/query-engine/reference/limits-and-quotas/token-limits.md): Limits and recommended practices for e6data access tokens - expiry bounds and per-consumer scoping. - [Glossary](https://docs.e6data.com/query-engine/reference/glossary.md): Definitions of the core e6data terms used throughout the documentation and Console. - [Overview](https://docs.e6data.com/query-engine/legal/legal.md): e6data's legal policies, terms of use, privacy, and cookies. - [Table of contents](https://docs.e6data.com/query-engine/legal/legal/summary.md) - [Cookie Policy](https://docs.e6data.com/query-engine/legal/cookie-policy.md): Understand how cookies are used for functionality and analytics. - [Privacy Policy](https://docs.e6data.com/query-engine/legal/privacy-policy.md): Learn how data is collected, stored, and protected. - [Terms & Condition](https://docs.e6data.com/query-engine/legal/terms.md): Understand the rules and policies governing usage and access. - [Overview](https://docs.e6data.com/query-engine/changelog/changelog.md): Release notes for the e6data platform — new features, improvements, and fixes, organized by release date. - [Table of contents](https://docs.e6data.com/query-engine/changelog/changelog/summary.md) - [2025](https://docs.e6data.com/query-engine/changelog/2025.md) - [August 6, 2025](https://docs.e6data.com/query-engine/changelog/2025/6th-august-2025.md): Introduces the Hybrid Data Lakehouse preview for federated querying across clouds and on-premise environments, plus a new guide for GCS access with Serverless compute on GCP. - [July 23, 2025](https://docs.e6data.com/query-engine/changelog/2025/23rd-july-2025.md): Improved integrations with Apache Polaris, Apache Iceberg, Apache Hudi, and Delta Lake — better connectivity and querying for external catalogs and lakehouse table formats. - [2024](https://docs.e6data.com/query-engine/changelog/2024.md) - [September 6, 2024](https://docs.e6data.com/query-engine/changelog/2024/6th-sept-2024.md): Enhanced Data Analyst role - [June 6, 2024](https://docs.e6data.com/query-engine/changelog/2024/6th-june-2024.md): Latest update- MFA and service accounts. - [April 18, 2024](https://docs.e6data.com/query-engine/changelog/2024/18th-april-2024.md): This page covers the latest updates to e6data, including improved connectivity, security, and query editing features. - [April 9, 2024](https://docs.e6data.com/query-engine/changelog/2024/9th-april-2024.md): This page explains the latest updates to e6data, focusing on schema behavior within the Schema Explorer for improved navigation and management. - [March 30, 2024](https://docs.e6data.com/query-engine/changelog/2024/30th-march-2024.md): This page covers recent e6data updates, including catalog privileges for column masking and row filtering, query history enhancements, and support for deletion vectors in Iceberg tables. - [March 16, 2024](https://docs.e6data.com/query-engine/changelog/2024/16th-march-2024.md): This page highlights the new feature for exporting query history to CSV, enhancing data analysis and reporting capabilities on the e6data platform. - [March 14, 2024](https://docs.e6data.com/query-engine/changelog/2024/14th-march-2024.md): This page covers the latest updates to e6data, including the new DataExport role, improved resource selection in catalog privileges, and the addition of client-perceived time in query history. - [March 12, 2024](https://docs.e6data.com/query-engine/changelog/2024/12th-march-2024.md): recent e6data updates, including enhanced cluster connection info, improved connectivity, and catalog refresh capabilities for Data Analyst roles. - [March 2, 2024](https://docs.e6data.com/query-engine/changelog/2024/2nd-march-2024.md): Covers the latest e6data updates, including catalog privileges, support for liquid clustering, new functions, and the impersonation feature for the Metabase BI tool via Apache Ranger. - [February 10, 2024](https://docs.e6data.com/query-engine/changelog/2024/10th-february-2024.md): This page introduces the new gateway connectivity feature, enabling seamless external client connections through endpoints on the e6data platform. - [February 3, 2024](https://docs.e6data.com/query-engine/changelog/2024/3rd-february-2024.md): This page covers the new connectivity and notebook features on the e6data platform. - [January 17, 2024](https://docs.e6data.com/query-engine/changelog/2024/17th-january-2024.md): This page highlights the introduction of new functionalities on the e6data platform. - [January 9, 2024](https://docs.e6data.com/query-engine/changelog/2024/9th-january-2024.md): This page covers the latest e6data enhancements, including new functionalities, bug fixes, and performance optimizations. - [January 3, 2024](https://docs.e6data.com/query-engine/changelog/2024/3rd-january-2024.md): This page outlines the platform enhancement and catalog auto-refresh feature - [2023](https://docs.e6data.com/query-engine/changelog/2023.md) - [December 18, 2023](https://docs.e6data.com/query-engine/changelog/2023/18th-december-2023.md): This page covers backend and platform enhancements, including improved security for monitoring components and enhanced access control. - [December 12, 2023](https://docs.e6data.com/query-engine/changelog/2023/12th-december-2023.md): This page introduces the platform enhancement, including the new Find and Replace feature in the query editor. - [December 9, 2023](https://docs.e6data.com/query-engine/changelog/2023/9th-december-2023.md): Plugin, platform, engine enhancements. - [December 4, 2023](https://docs.e6data.com/query-engine/changelog/2023/4th-december-2023.md): Improvements to query Editor session handling. - [November 27, 2023](https://docs.e6data.com/query-engine/changelog/2023/27th-november-2023.md): UI enhancements. - [September 8, 2023](https://docs.e6data.com/query-engine/changelog/2023/8th-september-2023.md): User roles and privileges. - [September 4, 2023](https://docs.e6data.com/query-engine/changelog/2023/4th-september-2023.md): Covers the new features, including the ability to enable and disable workspaces, along with UI enhancements. - [August 26, 2023](https://docs.e6data.com/query-engine/changelog/2023/26th-august-2023.md): covers pod metrics, workspace updates, editable query history views, and UI enhancements. - [August 21, 2023](https://docs.e6data.com/query-engine/changelog/2023/21st-august-2023.md): This page covers the new query editor roles, query resume, customizable views, catalog editing, and external access to clusters. - [July 19, 2023](https://docs.e6data.com/query-engine/changelog/2023/19th-july-2023.md): This page highlights query editor enhancements, schema search, an enhanced query run button, and visual/UI improvements. - [May 23, 2023](https://docs.e6data.com/query-engine/changelog/2023/23rd-may-2023.md): Covers the introduction of the Workspace Admin role, multi-catalog support, SQL optimizations, bug fixes, and known limitations. - [May 5, 2023](https://docs.e6data.com/query-engine/changelog/2023/5th-may-2023.md): page covers tab management, cluster tag improvements, SQL optimizations, bug fixes, and known limitations. - [April 28, 2023](https://docs.e6data.com/query-engine/changelog/2023/28th-april-2023.md): This page highlights data preview and query editor UI improvements. - [April 19, 2023](https://docs.e6data.com/query-engine/changelog/2023/19th-april-2023.md): This page covers IP allowlisting for external access. - [April 15, 2023](https://docs.e6data.com/query-engine/changelog/2023/15th-april-2023.md): This page highlights cross-account catalog access, execution planner, and query editor enhancements. - [April 10, 2023](https://docs.e6data.com/query-engine/changelog/2023/10th-april-2023.md): Covers auto save in query editor and SSO login via e6data portal and Google IdP. - [March 30, 2023](https://docs.e6data.com/query-engine/changelog/2023/30th-march-2023.md): This page covers SSO support, AWS S3 Gateway Endpoints, and parquet data pruning. --- # Agent Instructions This documentation is published with GitBook. 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