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pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"},"responsivegrid":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-6c0c9bc02c","quickstartHeroTitle":{"lines":["Set Up Near Real-Time Oracle CDC to Snowflake Using 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challenge: how to make transactional data available for analytics and AI in near real time without impacting source system performance. Traditional batch ETL processes introduce hours or even days of latency, making real-time analytics and AI applications difficult to implement.\u003C/p\u003E\n","\u003Cp\u003EChange Data Capture (CDC) solves this by capturing only the data that has changed — inserts, updates, and deletes — directly from the database's transaction logs, rather than repeatedly scanning entire tables. This approach is lightweight, low-latency, and non-intrusive to the source system.\u003C/p\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors\"\u003ESnowflake Openflow Connector for Oracle\u003C/a\u003E brings CDC natively into Snowflake.\u003C/p\u003E\n","\u003Cp\u003EBuilt on Oracle's XStream API and Snowflake's Openflow framework, the connector streams committed changes from Oracle redo logs into Snowflake target tables using Snowpipe Streaming, delivering end-to-end latency in seconds.\u003C/p\u003E\n","\u003Cp\u003EThis guide walks you through the complete setup process, from configuring the Oracle database for XStream to deploying the Openflow connector in Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EWhat is Change Data Capture (CDC)?\u003C/h3\u003E\n","\u003Cp\u003EChange Data Capture is a design pattern that identifies and tracks changes made to data in a source database so that downstream systems can act on those changes. Instead of performing full table scans or scheduled bulk loads, CDC reads the database's transaction log to detect row-level inserts, updates, and deletes as they are committed.\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECDC Approach\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EHow It Works\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ETrade-offs\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ELog-based\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReads the database transaction/redo logs\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ELowest latency, minimal source impact, captures all changes\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ETrigger-based\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase triggers fire on DML events\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdds overhead to every write operation\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EQuery-based\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPolls tables using timestamps or version columns\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMisses deletes, adds query load to source\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EThe Openflow Connector for Oracle uses \u003Cstrong\u003Elog-based CDC\u003C/strong\u003E via Oracle's XStream API, which shares the same underlying technology as Oracle GoldenGate. This is the most efficient approach because it reads committed transactions directly from the redo logs without adding any load to the source database's query engine.\u003C/p\u003E\n","\u003Ch3\u003EWhat is Snowflake Openflow?\u003C/h3\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/about\"\u003ESnowflake Openflow\u003C/a\u003E is an open, extensible, managed data integration service built on Apache NiFi. It runs natively on Snowpark Container Services (SPCS) and provides curated connectors for streaming data from various sources into Snowflake.\u003C/p\u003E\n","\u003Cp\u003EFor Oracle CDC, Openflow provides a zero-footprint, agentless architecture — there are no agents to install, manage, or patch on Oracle servers. The setup on the Oracle side is accomplished by a DBA running standard SQL commands, and from there, all integration is controlled within Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to configure Oracle Database for XStream-based CDC\u003C/li\u003E\u003Cli\u003EHow to create XStream users, privileges, and outbound servers\u003C/li\u003E\u003Cli\u003EHow to set up an Openflow deployment in Snowflake\u003C/li\u003E\u003Cli\u003EHow to configure and start the Oracle CDC connector\u003C/li\u003E\u003Cli\u003EHow to verify and monitor the replication pipeline\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n","\u003Cp\u003EBy the end of this guide, you'll have a working near real-time CDC pipeline that streams changes from Oracle Database into Snowflake using Openflow.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA \u003Ca href=\"https://signup.snowflake.com/\"\u003ESnowflake account\u003C/a\u003E in an AWS or Azure commercial region\u003C/li\u003E\u003Cli\u003EAn Oracle Database (12cR1 or later) with SYSDBA access\u003C/li\u003E\u003Cli\u003ENetwork connectivity between Snowflake (SPCS) and the Oracle database\u003C/li\u003E\u003Cli\u003ESnowflake \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E or a role with Openflow admin privileges\u003C/li\u003E\u003Cli\u003EAll Oracle source tables must have a \u003Cstrong\u003Eprimary key\u003C/strong\u003E — tables without primary keys will silently fail to replicate\u003C/li\u003E\u003Cli\u003EEach Openflow runtime supports \u003Cstrong\u003Eone connector only\u003C/strong\u003E — if you need multiple connectors, create a separate runtime for each\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAutomate With Snowflake CoCo\u003C/h2\u003E\n","\u003Cp\u003EDuration: 5\u003C/p\u003E\n","\u003Cp\u003EOnce your Oracle database is configured for XStream and your Openflow deployment and runtime are provisioned, you can use \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ESnowflake CoCo\u003C/a\u003E — Snowflake's AI coding assistant built into the CLI — to automate the connector deployment workflow. The built-in \u003Ccode\u003Eopenflow\u003C/code\u003E skill handles EAI setup, network validation, connector deployment, parameter configuration, controller setup, and pipeline start.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENo installation required.\u003C/strong\u003E The \u003Ccode\u003Eopenflow\u003C/code\u003E skill ships with Snowflake CoCo out of the box.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBefore starting Snowflake CoCo, ensure the following are complete:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOracle database prerequisites finished (\u003Ca href=\"#setup-oracle-config\"\u003ESetup Oracle Config\u003C/a\u003E)\u003C/li\u003E\u003Cli\u003EORGADMIN has accepted Oracle Connector Terms (\u003Ca href=\"#accept-oracle-connector-terms-orgadmin\"\u003EAccept Oracle Connector Terms\u003C/a\u003E)\u003C/li\u003E\u003Cli\u003EOpenflow deployment and runtime already provisioned in Snowflake\u003C/li\u003E\u003Cli\u003EDestination database and connector role created in Snowflake (see \u003Ca href=\"#snowflake-account-prerequisites\"\u003ESnowflake Account Prerequisites\u003C/a\u003E in the Configure Oracle Connector section)\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EWhat Snowflake CoCo Automates\u003C/h3\u003E\n","\u003Cp\u003EStarting from a working Openflow runtime, the skill handles all steps in the \u003Cstrong\u003EConfigure the Oracle Connector\u003C/strong\u003E section:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStep\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat Snowflake CoCo Does\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Network Access (EAI)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECreates External Access Integration for Oracle host connectivity\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EValidate Network Connectivity\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETests TCP connectivity to Oracle host and port before deploying\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Connector Flow\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploys \u003Ccode\u003Eoracle-embedded-license\u003C/code\u003E or \u003Ccode\u003Eoracle-independent-license\u003C/code\u003E from the catalog\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Source Parameters\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets connection URL, XStream URL, server name, connect user credentials, and tables\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Snowflake Destination\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets destination database, role, warehouse, and authentication\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Ingestion Parameters\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets table inclusion rules and identifier resolution\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVerify Controllers\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERuns \u003Ccode\u003Everify_config\u003C/code\u003E before enabling controller services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEnable Controllers\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEnables all controller services and checks for errors\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVerify Processors\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERuns \u003Ccode\u003Everify_config\u003C/code\u003E after controllers are enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVerify XStream Connectivity\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERuns \u003Ccode\u003Everify_processor\u003C/code\u003E on CaptureChangeOracle to confirm XStream capture is running and reading redo logs\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStart the Connector\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStarts the pipeline and confirms LCRs are flowing\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EValidate Data Flow\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EChecks flow status and confirms rows are appearing in Snowflake\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReconcile Source vs Destination\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConnects to Oracle to query source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Creating the Openflow deployment and runtime, Oracle database prerequisites (ARCHIVELOG, XStream, supplemental logging, users, outbound server), and Snowflake account prerequisites (destination database, connector role) must all be completed before invoking Snowflake CoCo.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EBeyond Initial Setup\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CoCo also helps with \u003Cstrong\u003EDay 2 operations\u003C/strong\u003E after your pipeline is running:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EOperation\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat Snowflake CoCo Does\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdd tables to a running pipeline\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUpdates inclusion parameters and monitors new tables through snapshot into incremental replication\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EData reconciliation\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConnects to Oracle, queries source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EIncremental replication\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigures skip-snapshot mode for tables you've already bulk-loaded via other methods\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETroubleshooting\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReads NiFi bulletins, runs XStream diagnostic queries (\u003Ccode\u003Edba_capture\u003C/code\u003E, \u003Ccode\u003EV$LOGMNR_SESSION\u003C/code\u003E, \u003Ccode\u003EV$XSTREAM_CAPTURE\u003C/code\u003E), and guides recovery for failed tables\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EJournal table cleanup\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EIdentifies stale journal tables for removed tables and guides safe cleanup\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EGet Started\u003C/h3\u003E\n","\u003Cp\u003EOpen a Snowflake CoCo session in your terminal and run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eset up openflow for oracle cdc\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe skill will confirm your intent, ask for your Oracle connection details and Snowflake target, then walk through each step.\u003C/p\u003E\n","\u003Ch3\u003EMore Example Prompts\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Edeploy oracle cdc connector in openflow\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cpre\u003E\u003Ccode\u003Econfigure openflow connector for oracle\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EArchitecture\u003C/h2\u003E\n","\u003Cp\u003EThe Openflow Connector reads logical change records (LCRs) directly from the XStream outbound server queue in near real time. These change events are processed through the Openflow runtime as FlowFiles and loaded into Snowflake target tables using Snowpipe Streaming, delivering low-latency replication with minimal impact on the source database.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/near-real-time-oracle-cdc-to-snowflake-using-openflow/cdc-architecture.png?v=3749fa69\" alt=\"Real-time Oracle CDC to Snowflake via Openflow architecture\"\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EComponent\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EOracle Redo Logs\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETransaction logs that record every committed change in the database\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EXStream Outbound Server\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReads redo logs and exposes changes as logical change records (LCRs)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EOpenflow Runtime\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EApache NiFi-based service running on Snowpark Container Services that consumes LCRs\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESnowpipe Streaming\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ELow-latency ingestion API that loads change events into Snowflake target tables\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EJournal Table and Merge Pattern\u003C/h3\u003E\n","\u003Cp\u003EThe connector uses a two-stage landing pattern. Change events are first written to a \u003Cstrong\u003Ejournal table\u003C/strong\u003E — an append-only staging table that records every insert, update, and delete operation with metadata such as operation type and timestamp. A scheduled \u003Cstrong\u003Emerge task\u003C/strong\u003E then applies those changes to the final \u003Cstrong\u003Etarget table\u003C/strong\u003E, collapsing multiple operations on the same row into the latest state.\u003C/p\u003E\n","\u003Cp\u003EThis separation ensures that no change events are lost during ingestion and that the target table always reflects a consistent, deduplicated view of the source. The merge runs on a configurable schedule — the default interval is typically sufficient for near real-time use cases, but you can adjust it in the connector settings to balance freshness against compute cost.\u003C/p\u003E\n","\u003Ch3\u003ESupported Environments\u003C/h3\u003E\n","\u003Cp\u003EThe connector supports Oracle Database versions 12cR1 and later in the following environments:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStatus\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EEnvironment\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESupported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOn-premises\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESupported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle Exadata\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESupported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOCI VM / Bare Metal\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESupported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAWS RDS Custom for Oracle\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ESupported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAWS RDS Standard Single-tenant\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ENot Supported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAWS RDS Standard Multi-tenant\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ENot Supported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle Autonomous Database (ATP / ADW)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ENot Supported\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle SaaS (Fusion, NetSuite)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E XStream requires SYSDBA-level access and control over redo log configuration. Environments that restrict DBA privileges or do not expose redo logs (multi-tenant RDS, Autonomous, SaaS) are not compatible.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EFor unique requirements, the replication flow is built on the flexible Openflow framework. Teams can open the Apache NiFi canvas to expand pipelines — for example, enriching data with lookups or masking sensitive PII before it reaches Snowflake.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAccept Oracle Connector Terms (ORGADMIN)\u003C/h2\u003E\n","\u003Cp\u003EBefore the Oracle connector is visible in the Openflow connector catalog, an organization administrator must accept the Oracle Connector commercial terms. This is a one-time step that is unique to the Oracle connector and is a prerequisite for every deployment.\u003C/p\u003E\n","\u003Ch3\u003ESteps\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ESign in to Snowsight with a user that has the \u003Ccode\u003EORGADMIN\u003C/code\u003E role\u003C/li\u003E\u003Cli\u003ESwitch to the \u003Ccode\u003EORGADMIN\u003C/code\u003E role using the role selector\u003C/li\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EAdmin > Terms\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003ELocate the \u003Cstrong\u003EOpenflow Connector for Oracle\u003C/strong\u003E terms entry\u003C/li\u003E\u003Cli\u003EReview and accept the commercial terms\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant:\u003C/strong\u003E If the Oracle connector does not appear in the Openflow connector catalog when you reach the connector deployment step, it is almost certainly because this step was skipped. The connector will remain hidden until the ORGADMIN accepts the terms.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E If you do not have access to the \u003Ccode\u003EORGADMIN\u003C/code\u003E role, contact your Snowflake organization administrator to complete this step.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EChoose Your Licensing Model\u003C/h3\u003E\n","\u003Cp\u003EThe Oracle connector offers two licensing models. You must select a model during the ORGADMIN terms acceptance step — this choice affects cost structure and contractual obligations.\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EModel\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWho It's For\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EConnector Fee\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ETrial\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECommitment\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EEmbedded\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECustomers without an existing Oracle GoldenGate or XStream license\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E$110 per core per month\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E60-day free trial\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAuto-converts to a non-cancelable 36-month commitment on Day 61\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EIndependent (BYOL)\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECustomers with an existing Oracle GoldenGate or XStream license\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E$0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EN/A\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENone beyond existing Oracle license\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWarning:\u003C/strong\u003E The Embedded license 60-day trial automatically converts to a 36-month non-cancelable commitment if not cancelled before Day 61. Ensure you have internal approval before the trial expires.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EFor full licensing details, refer to the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors\"\u003EOpenflow Connector for Oracle documentation\u003C/a\u003E.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESetup Oracle Config\u003C/h2\u003E\n","\u003Ch3\u003EEnable ARCHIVELOG Mode\u003C/h3\u003E\n","\u003Cp\u003EConnect to Oracle as SYSDBA and verify that the database is in \u003Ccode\u003EARCHIVELOG\u003C/code\u003E mode. XStream requires this to read the redo logs.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Esqlplus -L / as sysdba\n\nSELECT log_mode FROM v$database;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf the database is not in \u003Ccode\u003EARCHIVELOG\u003C/code\u003E mode, enable it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHUTDOWN IMMEDIATE;\nSTARTUP MOUNT;\nALTER DATABASE ARCHIVELOG;\nALTER DATABASE OPEN;\n\nSELECT log_mode FROM v$database;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Enabling \u003Ccode\u003EARCHIVELOG\u003C/code\u003E mode requires a database restart. Plan accordingly for production systems.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EEnable GoldenGate Replication\u003C/h3\u003E\n","\u003Cp\u003EXStream requires GoldenGate replication to be enabled:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET enable_goldengate_replication=TRUE SCOPE=BOTH;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ESet Streams Pool Size\u003C/h3\u003E\n","\u003Cp\u003ESet an explicit memory allocation for the Streams pool to isolate XStream memory from the Buffer Cache. Without this, XStream dynamically borrows from the shared pool and can starve the Buffer Cache under load, risking instance instability.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET STREAMS_POOL_SIZE = 2560M;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant:\u003C/strong\u003E This is critical for production databases. The \u003Ccode\u003ESTREAMS_POOL_SIZE\u003C/code\u003E parameter reserves a dedicated memory region for XStream capture and apply processes. The 2560 MB value is a recommended starting point — adjust based on the number of schemas, transaction volume, and available SGA memory. Monitor usage with \u003Ccode\u003ESELECT * FROM V$SGASTAT WHERE pool = 'streams pool';\u003C/code\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EEnable Supplemental Logging\u003C/h3\u003E\n","\u003Cp\u003ESwitch to the root container and enable supplemental logging for all columns:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SESSION SET CONTAINER = CDB$ROOT;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EProduction Recommendation:\u003C/strong\u003E Database-wide supplemental logging captures all columns on every table, which increases redo log volume. For production systems, consider enabling supplemental logging only on the specific tables you plan to replicate:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER TABLE schema_name.table_name ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis reduces redo generation overhead on tables that are not part of the replication scope.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate XStream Tablespaces\u003C/h3\u003E\n","\u003Cp\u003ECreate tablespaces in both the root container and the pluggable database for the XStream administrator:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE TABLESPACE xstream_adm_tbs\n  DATAFILE '/opt/oracle/oradata/FREE/xstream_adm_tbs.dbf'\n  SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;\n\nALTER SESSION SET CONTAINER = FREEPDB1;\n\nCREATE TABLESPACE xstream_adm_tbs\n  DATAFILE '/opt/oracle/oradata/FREE/FREEPDB1/xstream_adm_tbs.dbf'\n  SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;\n\nALTER SESSION SET CONTAINER = CDB$ROOT;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Replace \u003Ccode\u003EFREEPDB1\u003C/code\u003E and file paths with your actual PDB name and Oracle data directory.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate XStream Administrator\u003C/h3\u003E\n","\u003Cp\u003ECreate a common user (prefixed with \u003Ccode\u003Ec##\u003C/code\u003E) that will administer XStream:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE USER c##xstreamadmin IDENTIFIED BY "XStreamAdmin123!"\n  DEFAULT TABLESPACE xstream_adm_tbs\n  QUOTA UNLIMITED ON xstream_adm_tbs\n  CONTAINER=ALL;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EGrant the required privileges:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT CREATE SESSION, SET CONTAINER, EXECUTE ANY PROCEDURE, LOGMINING\n  TO c##xstreamadmin CONTAINER=ALL;\n\nGRANT SELECT ANY TABLE TO c##xstreamadmin CONTAINER=ALL;\nGRANT FLASHBACK ANY TABLE TO c##xstreamadmin CONTAINER=ALL;\nGRANT SELECT ANY TRANSACTION TO c##xstreamadmin CONTAINER=ALL;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EGrant XStream admin privileges. The correct approach depends on your Oracle version:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOracle 23ai / 26ai:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT XSTREAM_CAPTURE TO c##xstreamadmin CONTAINER=ALL;\nGRANT XSTREAM_ADMIN TO c##xstreamadmin CONTAINER=ALL;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOracle 19c / 21c:\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Ccode\u003EXSTREAM_CAPTURE\u003C/code\u003E and \u003Ccode\u003EXSTREAM_ADMIN\u003C/code\u003E roles do not exist on 19c and 21c. Using \u003Ccode\u003EGRANT XSTREAM_CAPTURE\u003C/code\u003E on these versions will silently fail. Use the \u003Ccode\u003EDBMS_XSTREAM_AUTH\u003C/code\u003E package instead:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EBEGIN\n  DBMS_XSTREAM_AUTH.GRANT_ADMIN_PRIVILEGE(\n    grantee                => 'c##xstreamadmin',\n    privilege_type         => 'CAPTURE',\n    grant_select_privileges => TRUE,\n    container              => 'ALL'\n  );\nEND;\n/\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant:\u003C/strong\u003E The majority of production Oracle deployments run 19c or 21c. If you use the 23ai-style \u003Ccode\u003EGRANT XSTREAM_CAPTURE\u003C/code\u003E on these versions, the grant silently fails and the XStream outbound server will not start. Verify your Oracle version with \u003Ccode\u003ESELECT * FROM v$version;\u003C/code\u003E before proceeding.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate XStream Connect User\u003C/h3\u003E\n","\u003Cp\u003ECreate the user that the Openflow connector will use to connect:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE USER c##connectuser IDENTIFIED BY "ConnectUser123!"\n  CONTAINER=ALL;\n\nGRANT CREATE SESSION, SELECT_CATALOG_ROLE TO c##connectuser CONTAINER=ALL;\nGRANT SELECT ANY TABLE TO c##connectuser CONTAINER=ALL;\nGRANT LOCK ANY TABLE TO c##connectuser CONTAINER=ALL;\nGRANT SELECT ANY DICTIONARY TO c##connectuser CONTAINER=ALL;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate XStream Outbound Server\u003C/h3\u003E\n","\u003Cp\u003ECreate an XStream outbound server that captures changes from the schemas you want to replicate:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESET SERVEROUTPUT ON;\n\nDECLARE\n    tables  DBMS_UTILITY.UNCL_ARRAY;\n    schemas DBMS_UTILITY.UNCL_ARRAY;\nBEGIN\n    tables(1)  := NULL;\n    schemas(1) := 'HR';\n    schemas(2) := 'CO';\n\n    DBMS_XSTREAM_ADM.CREATE_OUTBOUND(\n        server_name           => 'XOUT1',\n        table_names           => tables,\n        schema_names          => schemas,\n        source_container_name => 'FREEPDB1',\n        include_ddl           => TRUE\n    );\nEND;\n/\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Replace \u003Ccode\u003EHR\u003C/code\u003E and \u003Ccode\u003ECO\u003C/code\u003E with the schemas you want to replicate.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAssign Connect User to the Outbound Server\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EBEGIN\n    DBMS_XSTREAM_ADM.ALTER_OUTBOUND(\n        server_name  => 'XOUT1',\n        connect_user => 'c##connectuser');\nEND;\n/\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EVerify Oracle Configuration\u003C/h3\u003E\n","\u003Cp\u003ERun the following queries to confirm the Oracle database is correctly configured:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT server_name, status, connect_user, capture_user\nFROM dba_xstream_outbound;\n\nSELECT supplemental_log_data_min, supplemental_log_data_pk, supplemental_log_data_all\nFROM v$database;\n\nSELECT con_id, username, account_status\nFROM cdb_users\nWHERE username IN ('C##XSTREAMADMIN', 'C##CONNECTUSER')\nORDER BY con_id;\n\nSELECT name, value FROM v$parameter\nWHERE name = 'enable_goldengate_replication';\n\nSELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED, TOTAL_MESSAGES_ENQUEUED\nFROM V$XSTREAM_CAPTURE;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECheck\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExpected Value\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOutbound server \u003Ccode\u003Estatus\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EENABLED\u003C/code\u003E or \u003Ccode\u003EATTACHED\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Esupplemental_log_data_all\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EYES\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUser \u003Ccode\u003Eaccount_status\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPEN\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eenable_goldengate_replication\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETRUE\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EConnection Parameters\u003C/h3\u003E\n","\u003Cp\u003ERecord these values for use when configuring the Openflow connector:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EParameter\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EValue\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EHost\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E<InstancePublicIp>\u003C/code\u003E or \u003Ccode\u003E<InstancePrivateIp>\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EPort\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E1521\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EService\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EFREEPDB1\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EUsername\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ec##connectuser\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EPassword\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EConnectUser123!\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EXStream Server\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EXOUT1\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip:\u003C/strong\u003E The XStream outbound server URL requires the Oracle SID, not the \u003Ccode\u003EGLOBAL_DB_NAME\u003C/code\u003E. If your \u003Ccode\u003EGLOBAL_DB_NAME\u003C/code\u003E includes a domain suffix (e.g., \u003Ccode\u003EORCL.WORLD\u003C/code\u003E), strip the domain and use only the SID portion (e.g., \u003Ccode\u003EORCL\u003C/code\u003E). The connection will fail if the domain suffix is included.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESet Up Openflow in Snowflake\u003C/h2\u003E\n","\u003Ch3\u003ECreate the Openflow Admin Role\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\n\nCREATE ROLE IF NOT EXISTS OPENFLOW_ADMIN;\nGRANT ROLE OPENFLOW_ADMIN TO USER <OPENFLOW_USER>;\n\nGRANT CREATE OPENFLOW DATA PLANE INTEGRATION ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\nGRANT CREATE OPENFLOW RUNTIME INTEGRATION ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\nGRANT CREATE COMPUTE POOL ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Users with a default role of \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E cannot log in to Openflow runtimes. Set a different default role for Openflow users.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate an Openflow Deployment\u003C/h3\u003E\n","\u003Cp\u003ENavigate to \u003Cstrong\u003ESnowsight > Ingestion > Openflow\u003C/strong\u003E and create a new Openflow - Snowflake Deployment. This provisions the Openflow infrastructure on Snowpark Container Services (SPCS).\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAlternative — BYOC Deployment:\u003C/strong\u003E Enterprise customers who need to run Openflow in their own cloud environment can use a Bring Your Own Cloud (BYOC) deployment instead of SPCS. BYOC requires Openflow version 0.55.0 or later. This guide covers the SPCS deployment model; for BYOC setup, refer to the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/about\"\u003EOpenflow documentation\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EAfter creating the deployment, you must:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003ECreate a Snowflake role\u003C/strong\u003E for the connector (see next section)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ECreate a runtime\u003C/strong\u003E within the deployment — this is where your data flows execute\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EConfigure allowed domains\u003C/strong\u003E so the runtime can reach your Oracle host\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EFor detailed deployment steps, refer to the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs\"\u003ESet up Openflow - Snowflake Deployment\u003C/a\u003E documentation.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant — Runtime Sizing:\u003C/strong\u003E The Oracle connector requires a \u003Cstrong\u003EMedium\u003C/strong\u003E runtime at minimum. Small runtimes do not have sufficient resources and will fail. Multi-node runtimes are also not supported — set both minimum and maximum nodes to \u003Cstrong\u003E1\u003C/strong\u003E. Do not enable auto-scaling.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate a Snowflake Role for the Connector\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE ROLE IF NOT EXISTS openflow_oracle_role;\n\nGRANT USAGE ON DATABASE <destination_database> TO ROLE openflow_oracle_role;\nGRANT CREATE SCHEMA ON DATABASE <destination_database> TO ROLE openflow_oracle_role;\nGRANT USAGE ON WAREHOUSE <warehouse_name> TO ROLE openflow_oracle_role;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E The connector automatically creates target schemas and tables at runtime. Database-level \u003Ccode\u003ECREATE SCHEMA\u003C/code\u003E is required — schema-level grants alone will cause permission errors because the schemas do not exist yet when the connector starts.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EConfigure Network Access\u003C/h3\u003E\n","\u003Cp\u003ECreate a network rule to allow the Openflow runtime to reach the Oracle database:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE NETWORK RULE oracle_network_rule\n  MODE = EGRESS\n  TYPE = HOST_PORT\n  VALUE_LIST = ('<oracle_host>:1521');\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate External Access Integration\u003C/h3\u003E\n","\u003Cp\u003EA network rule alone is not sufficient — SPCS requires an External Access Integration (EAI) to allow outbound traffic. Create the EAI and attach the network rule:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE EXTERNAL ACCESS INTEGRATION oracle_eai\n  ALLOWED_NETWORK_RULES = (oracle_network_rule)\n  ENABLED = TRUE;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EGrant the Openflow admin role permission to use the integration:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT USAGE ON INTEGRATION oracle_eai TO ROLE OPENFLOW_ADMIN;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Attach this EAI to your Openflow runtime when creating or updating the runtime configuration. Without it, the connector will fail to connect to the Oracle host at runtime. See \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs-create-runtime\"\u003ECreate runtime\u003C/a\u003E for details on configuring external access integrations for an Openflow runtime.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConfigure the Oracle Connector\u003C/h2\u003E\n","\u003Ch3\u003EOpen the Openflow UI\u003C/h3\u003E\n","\u003Cp\u003ENavigate to \u003Cstrong\u003ESnowsight > Ingestion > Openflow\u003C/strong\u003E, select your deployment, and open the Openflow runtime UI.\u003C/p\u003E\n","\u003Ch3\u003EDeploy the Connector\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EOn the Openflow overview page, in the \u003Cstrong\u003EFeatured connectors\u003C/strong\u003E section, select \u003Cstrong\u003EView more connectors\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EFind \u003Cstrong\u003EOpenflow Connector for Oracle\u003C/strong\u003E and select \u003Cstrong\u003EAdd to runtime\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EIn the \u003Cstrong\u003ESelect runtime\u003C/strong\u003E dialog, choose your runtime from the \u003Cstrong\u003EAvailable runtimes\u003C/strong\u003E drop-down and click \u003Cstrong\u003EAdd\u003C/strong\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EConfigure the Connection\u003C/h3\u003E\n","\u003Cp\u003EProvide the Oracle Source Parameters recorded during the verification step. The connector requires \u003Cstrong\u003Etwo\u003C/strong\u003E JDBC URLs — a thin-driver URL for snapshot reads and an OCI-driver URL for the XStream CDC stream:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EParameter\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EValue\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle Connection URL\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ejdbc:oracle:thin:@<oracle_host_ip_or_dns>:1521/FREEPDB1\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EXStream Out Server URL\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ejdbc:oracle:oci:@<oracle_host_ip_or_dns>:1521/FREEPDB1\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle Username\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ec##connectuser\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOracle Password\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EConnectUser123!\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EXStream Out Server Name\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EXOUT1\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant:\u003C/strong\u003E The \u003Cstrong\u003EOracle Connection URL\u003C/strong\u003E uses the thin JDBC driver (\u003Ccode\u003Ejdbc:oracle:thin:@\u003C/code\u003E) and is used for snapshot operations. The \u003Cstrong\u003EXStream Out Server URL\u003C/strong\u003E uses the OCI JDBC driver (\u003Ccode\u003Ejdbc:oracle:oci:@\u003C/code\u003E) and is used for the CDC stream. Both are required — omitting the XStream Out Server URL will cause errors once the snapshot phase completes and incremental replication begins.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EConfigure the Replication Scope\u003C/h3\u003E\n","\u003Cp\u003ESelect which schemas and tables to replicate:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ESchemas:\u003C/strong\u003E \u003Ccode\u003EHR\u003C/code\u003E, \u003Ccode\u003ECO\u003C/code\u003E (or whichever schemas you configured in the XStream outbound server)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETables:\u003C/strong\u003E Select specific tables or replicate all tables within the selected schemas\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip:\u003C/strong\u003E Snowflake target tables in the connector ingestion parameters must be specified as three-part fully qualified names: \u003Ccode\u003EDATABASE.SCHEMA.TABLE\u003C/code\u003E. Two-part names (e.g., \u003Ccode\u003ESCHEMA.TABLE\u003C/code\u003E) will cause errors.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EConfigure the Snowflake Target\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EParameter\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EValue\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETarget Database\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E<your_target_database>\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETarget Schema\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E<your_target_schema>\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETable Naming\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMatch source table names (default)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EVerify Configuration Before Starting\u003C/h3\u003E\n","\u003Cp\u003EBefore enabling the connector, run \u003Cstrong\u003EVerify Config\u003C/strong\u003E on the controller services and processors to catch configuration errors early:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EIn the Openflow UI, right-click each \u003Cstrong\u003Econtroller service\u003C/strong\u003E (e.g., the Oracle connection pool) and select \u003Cstrong\u003EVerify Config\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003ERight-click each \u003Cstrong\u003Eprocessor\u003C/strong\u003E in the flow and select \u003Cstrong\u003EVerify Config\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EResolve any reported errors — common issues include bad credentials, unreachable Oracle host, incorrect XStream server name, or missing EAI configuration\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip:\u003C/strong\u003E Fixing issues at this stage is far easier than debugging a failed flow at runtime. Verify Config validates connectivity and credentials without starting data movement.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStart the Connector\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EEnable the connector in the Openflow UI\u003C/li\u003E\u003Cli\u003EThe connector performs an \u003Cstrong\u003Einitial snapshot\u003C/strong\u003E (full load) of the selected tables\u003C/li\u003E\u003Cli\u003EAfter the snapshot completes, the connector switches to \u003Cstrong\u003ECDC mode\u003C/strong\u003E and streams ongoing changes\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EVerify and Monitor\u003C/h2\u003E\n","\u003Ch3\u003EVerify Data in Snowflake\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW TABLES IN SCHEMA <target_db>.<target_schema>;\n\nSELECT * FROM <target_db>.<target_schema>.<table_name> LIMIT 10;\n\nSELECT COUNT(*) FROM <target_db>.<target_schema>.<table_name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ETest CDC Replication\u003C/h3\u003E\n","\u003Cp\u003EOn the Oracle source, insert a test row and verify it appears in Snowflake:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- On Oracle\nINSERT INTO hr.employees (employee_id, first_name, last_name, email)\nVALUES (9999, 'Test', 'User', 'test@example.com');\nCOMMIT;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- On Snowflake (should appear within seconds)\nSELECT * FROM <target_db>.<target_schema>.employees\nWHERE employee_id = 9999;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Deletes in Oracle are replicated as \u003Cstrong\u003Esoft deletes\u003C/strong\u003E in Snowflake. The row remains in the target table with the metadata column \u003Ccode\u003E_SNOWFLAKE_DELETED\u003C/code\u003E set to \u003Ccode\u003ETRUE\u003C/code\u003E rather than being physically removed.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EMonitor the Pipeline\u003C/h3\u003E\n","\u003Cp\u003EUse the Openflow UI to check connector status, throughput, and error counts. On the Oracle side, verify the capture process:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED, TOTAL_MESSAGES_ENQUEUED\nFROM V$XSTREAM_CAPTURE;\n\nSELECT server_name, status, connect_user, capture_user\nFROM dba_xstream_outbound;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETroubleshooting\u003C/h2\u003E\n","\u003Ch3\u003EXStream Outbound Server Not Running\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT server_name, status FROM dba_xstream_outbound;\n\nBEGIN\n    DBMS_XSTREAM_ADM.ALTER_OUTBOUND(\n        server_name => 'XOUT1',\n        status      => 'ENABLED'\n    );\nEND;\n/\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECapture Process Not Starting\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT capture_name, status FROM dba_capture;\n\nBEGIN\n    DBMS_CAPTURE_ADM.START_CAPTURE('XSTREAM_CAPTURE');\nEND;\n/\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ESupplemental Logging Issues\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT supplemental_log_data_min, supplemental_log_data_pk, supplemental_log_data_all\nFROM v$database;\n\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (PRIMARY KEY) COLUMNS;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ENetwork Connectivity\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EEnsure the Oracle host and port (1521) are accessible from the Snowflake SPCS compute pool\u003C/li\u003E\u003Cli\u003EVerify the external access integration and network rules are correctly configured\u003C/li\u003E\u003Cli\u003ETest connectivity using the Openflow UI's connection test feature\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECleanup\u003C/h2\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECaution:\u003C/strong\u003E The commands below permanently remove the XStream configuration, users, and supplemental logging. Before proceeding:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EStop the Openflow connector\u003C/strong\u003E in the Openflow UI first. Dropping the outbound server while the connector is running will cause unrecoverable errors and may require a full re-snapshot.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVerify licensing implications.\u003C/strong\u003E If you are using the Embedded licensing model, dropping and re-creating the XStream outbound server may require re-provisioning the Oracle license at additional cost.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EConfirm no other applications\u003C/strong\u003E depend on the XStream outbound server, supplemental logging, or GoldenGate replication settings before disabling them.\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ETo remove the XStream configuration from Oracle:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EBEGIN\n    DBMS_XSTREAM_ADM.DROP_OUTBOUND('XOUT1');\nEND;\n/\n\nDROP USER c##xstreamadmin CASCADE;\nDROP USER c##connectuser CASCADE;\n\nALTER DATABASE DROP SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n\nALTER SYSTEM SET enable_goldengate_replication=FALSE SCOPE=BOTH;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETips for Production\u003C/h2\u003E\n","\u003Cp\u003EFor production deployments, consider the following DBA best practices:\u003C/p\u003E\n","\u003Ch3\u003ECheck I/O Headroom\u003C/h3\u003E\n","\u003Cp\u003EXStream capture reads redo logs continuously. Before enabling CDC on a busy database, verify that the storage subsystem has sufficient I/O headroom to handle the additional sequential read load. Monitor with \u003Ccode\u003EV$IOSTAT_FILE\u003C/code\u003E and your OS-level I/O metrics.\u003C/p\u003E\n","\u003Ch3\u003EResize Redo Logs\u003C/h3\u003E\n","\u003Cp\u003EDefault redo log sizes (50–200 MB) cause frequent log switches under CDC workloads, which increases checkpoint overhead. Resize redo logs to \u003Cstrong\u003E4–8 GB\u003C/strong\u003E to reduce switch frequency:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Check current redo log sizes\nSELECT group#, bytes/1024/1024 AS size_mb, status FROM v$log;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EConsult Oracle documentation for the redo log resize procedure, as it requires cycling log groups.\u003C/p\u003E\n","\u003Ch3\u003EMonitor V$XSTREAM_CAPTURE\u003C/h3\u003E\n","\u003Cp\u003ERegularly monitor the capture process to detect lag or bottlenecks:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED,\n       TOTAL_MESSAGES_ENQUEUED, CAPTURE_MESSAGE_CREATE_TIME,\n       ENQUEUE_MESSAGE_CREATE_TIME\nFROM V$XSTREAM_CAPTURE;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EA growing gap between \u003Ccode\u003ECAPTURE_MESSAGE_CREATE_TIME\u003C/code\u003E and \u003Ccode\u003EENQUEUE_MESSAGE_CREATE_TIME\u003C/code\u003E indicates the capture process is falling behind.\u003C/p\u003E\n","\u003Ch3\u003EConsider Downstream Capture for Extreme Scale\u003C/h3\u003E\n","\u003Cp\u003EFor very high-throughput databases where the redo read overhead is a concern, Oracle supports \u003Cstrong\u003Edownstream capture\u003C/strong\u003E — mining redo logs on a separate server rather than the production instance. This offloads all CDC processing from the primary database at the cost of additional infrastructure.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion And Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations! You've successfully set up a near real-time CDC pipeline from Oracle Database to Snowflake using the Openflow Connector for Oracle. Changes made in your Oracle source are now captured via XStream and streamed into Snowflake within seconds.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EOracle XStream configuration\u003C/strong\u003E - Enabling ARCHIVELOG mode, GoldenGate replication, supplemental logging, and creating XStream users and outbound servers\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOpenflow deployment\u003C/strong\u003E - Setting up the Openflow runtime in Snowflake on Snowpark Container Services\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EConnector configuration\u003C/strong\u003E - Connecting the Oracle CDC connector to the XStream outbound server and configuring replication scope\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVerification and monitoring\u003C/strong\u003E - Validating data replication and monitoring pipeline health\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Cp\u003ESnowflake Documentation:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/about\"\u003EOpenflow Overview\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors\"\u003EOpenflow Connectors\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs\"\u003ESet up Openflow - Snowflake Deployment\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/manage\"\u003EManage Openflow\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/monitor\"\u003EMonitor Openflow\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EVideo:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://www.youtube.com/watch?v=nLGnb1VoJuc\"\u003EHow-to Set Up Near Real-Time Oracle CDC to Snowflake using Openflow\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EGitHub:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/sharvankumar/oracle-free23-snowflake-openflow\"\u003EOracle Free 23ai Snowflake Openflow Setup\u003C/a\u003E - Oracle XStream setup script and configuration reference\u003C/li\u003E\u003C/ul\u003E"],"description":"Learn how to set up near real-time Change Data Capture (CDC) replication from Oracle Database to Snowflake using the Snowflake Openflow Connector for Oracle.","title":"Set Up Near Real-Time Oracle CDC to Snowflake Using Openflow",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\nOrganizations running mission-critical workloads on Oracle databases face a common challenge: how to make transactional data available for analytics and AI in near real time without impacting source system performance. Traditional batch ETL processes introduce hours or even days of latency, making real-time analytics and AI applications difficult to implement.\n\nChange Data Capture (CDC) solves this by capturing only the data that has changed — inserts, updates, and deletes — directly from the database's transaction logs, rather than repeatedly scanning entire tables. This approach is lightweight, low-latency, and non-intrusive to the source system.\n\nThe [Snowflake Openflow Connector for Oracle](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors) brings CDC natively into Snowflake.\n\nBuilt on Oracle's XStream API and Snowflake's Openflow framework, the connector streams committed changes from Oracle redo logs into Snowflake target tables using Snowpipe Streaming, delivering end-to-end latency in seconds.\n\nThis guide walks you through the complete setup process, from configuring the Oracle database for XStream to deploying the Openflow connector in Snowflake.\n\n### What is Change Data Capture (CDC)?\n\nChange Data Capture is a design pattern that identifies and tracks changes made to data in a source database so that downstream systems can act on those changes. Instead of performing full table scans or scheduled bulk loads, CDC reads the database's transaction log to detect row-level inserts, updates, and deletes as they are committed.\n\n| CDC Approach | How It Works | Trade-offs |\n|-------------|-------------|------------|\n| **Log-based** | Reads the database transaction/redo logs | Lowest latency, minimal source impact, captures all changes |\n| **Trigger-based** | Database triggers fire on DML events | Adds overhead to every write operation |\n| **Query-based** | Polls tables using timestamps or version columns | Misses deletes, adds query load to source |\n\nThe Openflow Connector for Oracle uses **log-based CDC** via Oracle's XStream API, which shares the same underlying technology as Oracle GoldenGate. This is the most efficient approach because it reads committed transactions directly from the redo logs without adding any load to the source database's query engine.\n\n### What is Snowflake Openflow?\n\n[Snowflake Openflow](https://docs.snowflake.com/en/user-guide/data-integration/openflow/about) is an open, extensible, managed data integration service built on Apache NiFi. It runs natively on Snowpark Container Services (SPCS) and provides curated connectors for streaming data from various sources into Snowflake.\n\nFor Oracle CDC, Openflow provides a zero-footprint, agentless architecture — there are no agents to install, manage, or patch on Oracle servers. The setup on the Oracle side is accomplished by a DBA running standard SQL commands, and from there, all integration is controlled within Snowflake.\n\n### What You'll Learn\n- How to configure Oracle Database for XStream-based CDC\n- How to create XStream users, privileges, and outbound servers\n- How to set up an Openflow deployment in Snowflake\n- How to configure and start the Oracle CDC connector\n- How to verify and monitor the replication pipeline\n\n### What You'll Build\nBy the end of this guide, you'll have a working near real-time CDC pipeline that streams changes from Oracle Database into Snowflake using Openflow.\n\n### Prerequisites\n- A [Snowflake account](https://signup.snowflake.com/) in an AWS or Azure commercial region\n- An Oracle Database (12cR1 or later) with SYSDBA access\n- Network connectivity between Snowflake (SPCS) and the Oracle database\n- Snowflake `ACCOUNTADMIN` or a role with Openflow admin privileges\n- All Oracle source tables must have a **primary key** — tables without primary keys will silently fail to replicate\n- Each Openflow runtime supports **one connector only** — if you need multiple connectors, create a separate runtime for each\n\n\u003C!-- ------------------------ --\u003E\n## Automate With Snowflake CoCo\n\nDuration: 5\n\nOnce your Oracle database is configured for XStream and your Openflow deployment and runtime are provisioned, you can use [Snowflake CoCo](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) — Snowflake's AI coding assistant built into the CLI — to automate the connector deployment workflow. The built-in `openflow` skill handles EAI setup, network validation, connector deployment, parameter configuration, controller setup, and pipeline start.\n\n**No installation required.** The `openflow` skill ships with Snowflake CoCo out of the box.\n\n\u003E **Before starting Snowflake CoCo, ensure the following are complete:**\n\u003E - Oracle database prerequisites finished ([Setup Oracle Config](#setup-oracle-config))\n\u003E - ORGADMIN has accepted Oracle Connector Terms ([Accept Oracle Connector Terms](#accept-oracle-connector-terms-orgadmin))\n\u003E - Openflow deployment and runtime already provisioned in Snowflake\n\u003E - Destination database and connector role created in Snowflake (see [Snowflake Account Prerequisites](#snowflake-account-prerequisites) in the Configure Oracle Connector section)\n\n### What Snowflake CoCo Automates\n\nStarting from a working Openflow runtime, the skill handles all steps in the **Configure the Oracle Connector** section:\n\n| Step | What Snowflake CoCo Does |\n|---|---|\n| Configure Network Access (EAI) | Creates External Access Integration for Oracle host connectivity |\n| Validate Network Connectivity | Tests TCP connectivity to Oracle host and port before deploying |\n| Deploy the Connector Flow | Deploys `oracle-embedded-license` or `oracle-independent-license` from the catalog |\n| Configure Source Parameters | Sets connection URL, XStream URL, server name, connect user credentials, and tables |\n| Configure Snowflake Destination | Sets destination database, role, warehouse, and authentication |\n| Configure Ingestion Parameters | Sets table inclusion rules and identifier resolution |\n| Verify Controllers | Runs `verify_config` before enabling controller services |\n| Enable Controllers | Enables all controller services and checks for errors |\n| Verify Processors | Runs `verify_config` after controllers are enabled |\n| Verify XStream Connectivity | Runs `verify_processor` on CaptureChangeOracle to confirm XStream capture is running and reading redo logs |\n| Start the Connector | Starts the pipeline and confirms LCRs are flowing |\n| Validate Data Flow | Checks flow status and confirms rows are appearing in Snowflake |\n| Reconcile Source vs Destination | Connects to Oracle to query source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches |\n\n\u003E **Note:** Creating the Openflow deployment and runtime, Oracle database prerequisites (ARCHIVELOG, XStream, supplemental logging, users, outbound server), and Snowflake account prerequisites (destination database, connector role) must all be completed before invoking Snowflake CoCo.\n\n### Beyond Initial Setup\n\nSnowflake CoCo also helps with **Day 2 operations** after your pipeline is running:\n\n| Operation | What Snowflake CoCo Does |\n|---|---|\n| Add tables to a running pipeline | Updates inclusion parameters and monitors new tables through snapshot into incremental replication |\n| Data reconciliation | Connects to Oracle, queries source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches |\n| Incremental replication | Configures skip-snapshot mode for tables you've already bulk-loaded via other methods |\n| Troubleshooting | Reads NiFi bulletins, runs XStream diagnostic queries (`dba_capture`, `V$LOGMNR_SESSION`, `V$XSTREAM_CAPTURE`), and guides recovery for failed tables |\n| Journal table cleanup | Identifies stale journal tables for removed tables and guides safe cleanup |\n\n### Get Started\n\nOpen a Snowflake CoCo session in your terminal and run:\n\n```\nset up openflow for oracle cdc\n```\n\nThe skill will confirm your intent, ask for your Oracle connection details and Snowflake target, then walk through each step.\n\n### More Example Prompts\n\n```\ndeploy oracle cdc connector in openflow\n```\n\n```\nconfigure openflow connector for oracle\n```\n\n\u003C!-- ------------------------ --\u003E\n## Architecture\n\nThe Openflow Connector reads logical change records (LCRs) directly from the XStream outbound server queue in near real time. These change events are processed through the Openflow runtime as FlowFiles and loaded into Snowflake target tables using Snowpipe Streaming, delivering low-latency replication with minimal impact on the source database.\n\n![Real-time Oracle CDC to Snowflake via Openflow architecture](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/near-real-time-oracle-cdc-to-snowflake-using-openflow/cdc-architecture.png?v=3749fa69)\n\n| Component | Description |\n|-----------|-------------|\n| **Oracle Redo Logs** | Transaction logs that record every committed change in the database |\n| **XStream Outbound Server** | Reads redo logs and exposes changes as logical change records (LCRs) |\n| **Openflow Runtime** | Apache NiFi-based service running on Snowpark Container Services that consumes LCRs |\n| **Snowpipe Streaming** | Low-latency ingestion API that loads change events into Snowflake target tables |\n\n### Journal Table and Merge Pattern\n\nThe connector uses a two-stage landing pattern. Change events are first written to a **journal table** — an append-only staging table that records every insert, update, and delete operation with metadata such as operation type and timestamp. A scheduled **merge task** then applies those changes to the final **target table**, collapsing multiple operations on the same row into the latest state.\n\nThis separation ensures that no change events are lost during ingestion and that the target table always reflects a consistent, deduplicated view of the source. The merge runs on a configurable schedule — the default interval is typically sufficient for near real-time use cases, but you can adjust it in the connector settings to balance freshness against compute cost.\n\n### Supported Environments\n\nThe connector supports Oracle Database versions 12cR1 and later in the following environments:\n\n| Status | Environment |\n|--------|-------------|\n| **Supported** | On-premises |\n| **Supported** | Oracle Exadata |\n| **Supported** | OCI VM / Bare Metal |\n| **Supported** | AWS RDS Custom for Oracle |\n| **Supported** | AWS RDS Standard Single-tenant |\n| **Not Supported** | AWS RDS Standard Multi-tenant |\n| **Not Supported** | Oracle Autonomous Database (ATP / ADW) |\n| **Not Supported** | Oracle SaaS (Fusion, NetSuite) |\n\n\u003E **Note:** XStream requires SYSDBA-level access and control over redo log configuration. Environments that restrict DBA privileges or do not expose redo logs (multi-tenant RDS, Autonomous, SaaS) are not compatible.\n\nFor unique requirements, the replication flow is built on the flexible Openflow framework. Teams can open the Apache NiFi canvas to expand pipelines — for example, enriching data with lookups or masking sensitive PII before it reaches Snowflake.\n\n\u003C!-- ------------------------ --\u003E\n## Accept Oracle Connector Terms (ORGADMIN)\n\nBefore the Oracle connector is visible in the Openflow connector catalog, an organization administrator must accept the Oracle Connector commercial terms. This is a one-time step that is unique to the Oracle connector and is a prerequisite for every deployment.\n\n### Steps\n\n1. Sign in to Snowsight with a user that has the `ORGADMIN` role\n2. Switch to the `ORGADMIN` role using the role selector\n3. Navigate to **Admin \u003E Terms**\n4. Locate the **Openflow Connector for Oracle** terms entry\n5. Review and accept the commercial terms\n\n\u003E **Important:** If the Oracle connector does not appear in the Openflow connector catalog when you reach the connector deployment step, it is almost certainly because this step was skipped. The connector will remain hidden until the ORGADMIN accepts the terms.\n\n\u003E **Note:** If you do not have access to the `ORGADMIN` role, contact your Snowflake organization administrator to complete this step.\n\n### Choose Your Licensing Model\n\nThe Oracle connector offers two licensing models. You must select a model during the ORGADMIN terms acceptance step — this choice affects cost structure and contractual obligations.\n\n| Model | Who It's For | Connector Fee | Trial | Commitment |\n|-------|-------------|---------------|-------|------------|\n| **Embedded** | Customers without an existing Oracle GoldenGate or XStream license | $110 per core per month | 60-day free trial | Auto-converts to a non-cancelable 36-month commitment on Day 61 |\n| **Independent (BYOL)** | Customers with an existing Oracle GoldenGate or XStream license | $0 | N/A | None beyond existing Oracle license |\n\n\u003E **Warning:** The Embedded license 60-day trial automatically converts to a 36-month non-cancelable commitment if not cancelled before Day 61. Ensure you have internal approval before the trial expires.\n\nFor full licensing details, refer to the [Openflow Connector for Oracle documentation](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors).\n\n\u003C!-- ------------------------ --\u003E\n## Setup Oracle Config\n\n### Enable ARCHIVELOG Mode\n\nConnect to Oracle as SYSDBA and verify that the database is in `ARCHIVELOG` mode. XStream requires this to read the redo logs.\n\n```sql\nsqlplus -L / as sysdba\n\nSELECT log_mode FROM v$database;\n```\n\nIf the database is not in `ARCHIVELOG` mode, enable it:\n\n```sql\nSHUTDOWN IMMEDIATE;\nSTARTUP MOUNT;\nALTER DATABASE ARCHIVELOG;\nALTER DATABASE OPEN;\n\nSELECT log_mode FROM v$database;\n```\n\n\u003E **Note:** Enabling `ARCHIVELOG` mode requires a database restart. Plan accordingly for production systems.\n\n### Enable GoldenGate Replication\n\nXStream requires GoldenGate replication to be enabled:\n\n```sql\nALTER SYSTEM SET enable_goldengate_replication=TRUE SCOPE=BOTH;\n```\n\n### Set Streams Pool Size\n\nSet an explicit memory allocation for the Streams pool to isolate XStream memory from the Buffer Cache. Without this, XStream dynamically borrows from the shared pool and can starve the Buffer Cache under load, risking instance instability.\n\n```sql\nALTER SYSTEM SET STREAMS_POOL_SIZE = 2560M;\n```\n\n\u003E **Important:** This is critical for production databases. The `STREAMS_POOL_SIZE` parameter reserves a dedicated memory region for XStream capture and apply processes. The 2560 MB value is a recommended starting point — adjust based on the number of schemas, transaction volume, and available SGA memory. Monitor usage with `SELECT * FROM V$SGASTAT WHERE pool = 'streams pool';`.\n\n### Enable Supplemental Logging\n\nSwitch to the root container and enable supplemental logging for all columns:\n\n```sql\nALTER SESSION SET CONTAINER = CDB$ROOT;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n```\n\n\u003E **Production Recommendation:** Database-wide supplemental logging captures all columns on every table, which increases redo log volume. For production systems, consider enabling supplemental logging only on the specific tables you plan to replicate:\n\u003E\n\u003E ```sql\n\u003E ALTER TABLE schema_name.table_name ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n\u003E ```\n\u003E\n\u003E This reduces redo generation overhead on tables that are not part of the replication scope.\n\n### Create XStream Tablespaces\n\nCreate tablespaces in both the root container and the pluggable database for the XStream administrator:\n\n```sql\nCREATE TABLESPACE xstream_adm_tbs\n  DATAFILE '/opt/oracle/oradata/FREE/xstream_adm_tbs.dbf'\n  SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;\n\nALTER SESSION SET CONTAINER = FREEPDB1;\n\nCREATE TABLESPACE xstream_adm_tbs\n  DATAFILE '/opt/oracle/oradata/FREE/FREEPDB1/xstream_adm_tbs.dbf'\n  SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;\n\nALTER SESSION SET CONTAINER = CDB$ROOT;\n```\n\n\u003E **Note:** Replace `FREEPDB1` and file paths with your actual PDB name and Oracle data directory.\n\n### Create XStream Administrator\n\nCreate a common user (prefixed with `c##`) that will administer XStream:\n\n```sql\nCREATE USER c##xstreamadmin IDENTIFIED BY \"XStreamAdmin123!\"\n  DEFAULT TABLESPACE xstream_adm_tbs\n  QUOTA UNLIMITED ON xstream_adm_tbs\n  CONTAINER=ALL;\n```\n\nGrant the required privileges:\n\n```sql\nGRANT CREATE SESSION, SET CONTAINER, EXECUTE ANY PROCEDURE, LOGMINING\n  TO c##xstreamadmin CONTAINER=ALL;\n\nGRANT SELECT ANY TABLE TO c##xstreamadmin CONTAINER=ALL;\nGRANT FLASHBACK ANY TABLE TO c##xstreamadmin CONTAINER=ALL;\nGRANT SELECT ANY TRANSACTION TO c##xstreamadmin CONTAINER=ALL;\n```\n\nGrant XStream admin privileges. The correct approach depends on your Oracle version:\n\n**Oracle 23ai / 26ai:**\n\n```sql\nGRANT XSTREAM_CAPTURE TO c##xstreamadmin CONTAINER=ALL;\nGRANT XSTREAM_ADMIN TO c##xstreamadmin CONTAINER=ALL;\n```\n\n**Oracle 19c / 21c:**\n\nThe `XSTREAM_CAPTURE` and `XSTREAM_ADMIN` roles do not exist on 19c and 21c. Using `GRANT XSTREAM_CAPTURE` on these versions will silently fail. Use the `DBMS_XSTREAM_AUTH` package instead:\n\n```sql\nBEGIN\n  DBMS_XSTREAM_AUTH.GRANT_ADMIN_PRIVILEGE(\n    grantee                =\u003E 'c##xstreamadmin',\n    privilege_type         =\u003E 'CAPTURE',\n    grant_select_privileges =\u003E TRUE,\n    container              =\u003E 'ALL'\n  );\nEND;\n/\n```\n\n\u003E **Important:** The majority of production Oracle deployments run 19c or 21c. If you use the 23ai-style `GRANT XSTREAM_CAPTURE` on these versions, the grant silently fails and the XStream outbound server will not start. Verify your Oracle version with `SELECT * FROM v$version;` before proceeding.\n\n### Create XStream Connect User\n\nCreate the user that the Openflow connector will use to connect:\n\n```sql\nCREATE USER c##connectuser IDENTIFIED BY \"ConnectUser123!\"\n  CONTAINER=ALL;\n\nGRANT CREATE SESSION, SELECT_CATALOG_ROLE TO c##connectuser CONTAINER=ALL;\nGRANT SELECT ANY TABLE TO c##connectuser CONTAINER=ALL;\nGRANT LOCK ANY TABLE TO c##connectuser CONTAINER=ALL;\nGRANT SELECT ANY DICTIONARY TO c##connectuser CONTAINER=ALL;\n```\n\n### Create XStream Outbound Server\n\nCreate an XStream outbound server that captures changes from the schemas you want to replicate:\n\n```sql\nSET SERVEROUTPUT ON;\n\nDECLARE\n    tables  DBMS_UTILITY.UNCL_ARRAY;\n    schemas DBMS_UTILITY.UNCL_ARRAY;\nBEGIN\n    tables(1)  := NULL;\n    schemas(1) := 'HR';\n    schemas(2) := 'CO';\n\n    DBMS_XSTREAM_ADM.CREATE_OUTBOUND(\n        server_name           =\u003E 'XOUT1',\n        table_names           =\u003E tables,\n        schema_names          =\u003E schemas,\n        source_container_name =\u003E 'FREEPDB1',\n        include_ddl           =\u003E TRUE\n    );\nEND;\n/\n```\n\n\u003E **Note:** Replace `HR` and `CO` with the schemas you want to replicate.\n\n### Assign Connect User to the Outbound Server\n\n```sql\nBEGIN\n    DBMS_XSTREAM_ADM.ALTER_OUTBOUND(\n        server_name  =\u003E 'XOUT1',\n        connect_user =\u003E 'c##connectuser');\nEND;\n/\n```\n\n### Verify Oracle Configuration\n\nRun the following queries to confirm the Oracle database is correctly configured:\n\n```sql\nSELECT server_name, status, connect_user, capture_user\nFROM dba_xstream_outbound;\n\nSELECT supplemental_log_data_min, supplemental_log_data_pk, supplemental_log_data_all\nFROM v$database;\n\nSELECT con_id, username, account_status\nFROM cdb_users\nWHERE username IN ('C##XSTREAMADMIN', 'C##CONNECTUSER')\nORDER BY con_id;\n\nSELECT name, value FROM v$parameter\nWHERE name = 'enable_goldengate_replication';\n\nSELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED, TOTAL_MESSAGES_ENQUEUED\nFROM V$XSTREAM_CAPTURE;\n```\n\n| Check | Expected Value |\n|-------|---------------|\n| Outbound server `status` | `ENABLED` or `ATTACHED` |\n| `supplemental_log_data_all` | `YES` |\n| User `account_status` | `OPEN` |\n| `enable_goldengate_replication` | `TRUE` |\n\n### Connection Parameters\n\nRecord these values for use when configuring the Openflow connector:\n\n| Parameter | Value |\n|-----------|-------|\n| **Host** | `\u003CInstancePublicIp\u003E` or `\u003CInstancePrivateIp\u003E` |\n| **Port** | `1521` |\n| **Service** | `FREEPDB1` |\n| **Username** | `c##connectuser` |\n| **Password** | `ConnectUser123!` |\n| **XStream Server** | `XOUT1` |\n\n\u003E **Tip:** The XStream outbound server URL requires the Oracle SID, not the `GLOBAL_DB_NAME`. If your `GLOBAL_DB_NAME` includes a domain suffix (e.g., `ORCL.WORLD`), strip the domain and use only the SID portion (e.g., `ORCL`). The connection will fail if the domain suffix is included.\n\n\u003C!-- ------------------------ --\u003E\n## Set Up Openflow in Snowflake\n\n### Create the Openflow Admin Role\n\n```sql\nUSE ROLE ACCOUNTADMIN;\n\nCREATE ROLE IF NOT EXISTS OPENFLOW_ADMIN;\nGRANT ROLE OPENFLOW_ADMIN TO USER \u003COPENFLOW_USER\u003E;\n\nGRANT CREATE OPENFLOW DATA PLANE INTEGRATION ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\nGRANT CREATE OPENFLOW RUNTIME INTEGRATION ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\nGRANT CREATE COMPUTE POOL ON ACCOUNT TO ROLE OPENFLOW_ADMIN;\n```\n\n\u003E **Note:** Users with a default role of `ACCOUNTADMIN` cannot log in to Openflow runtimes. Set a different default role for Openflow users.\n\n### Create an Openflow Deployment\n\nNavigate to **Snowsight \u003E Ingestion \u003E Openflow** and create a new Openflow - Snowflake Deployment. This provisions the Openflow infrastructure on Snowpark Container Services (SPCS).\n\n\u003E **Alternative — BYOC Deployment:** Enterprise customers who need to run Openflow in their own cloud environment can use a Bring Your Own Cloud (BYOC) deployment instead of SPCS. BYOC requires Openflow version 0.55.0 or later. This guide covers the SPCS deployment model; for BYOC setup, refer to the [Openflow documentation](https://docs.snowflake.com/en/user-guide/data-integration/openflow/about).\n\nAfter creating the deployment, you must:\n\n1. **Create a Snowflake role** for the connector (see next section)\n2. **Create a runtime** within the deployment — this is where your data flows execute\n3. **Configure allowed domains** so the runtime can reach your Oracle host\n\nFor detailed deployment steps, refer to the [Set up Openflow - Snowflake Deployment](https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs) documentation.\n\n\u003E **Important — Runtime Sizing:** The Oracle connector requires a **Medium** runtime at minimum. Small runtimes do not have sufficient resources and will fail. Multi-node runtimes are also not supported — set both minimum and maximum nodes to **1**. Do not enable auto-scaling.\n\n### Create a Snowflake Role for the Connector\n\n```sql\nCREATE ROLE IF NOT EXISTS openflow_oracle_role;\n\nGRANT USAGE ON DATABASE \u003Cdestination_database\u003E TO ROLE openflow_oracle_role;\nGRANT CREATE SCHEMA ON DATABASE \u003Cdestination_database\u003E TO ROLE openflow_oracle_role;\nGRANT USAGE ON WAREHOUSE \u003Cwarehouse_name\u003E TO ROLE openflow_oracle_role;\n```\n\n\u003E **Note:** The connector automatically creates target schemas and tables at runtime. Database-level `CREATE SCHEMA` is required — schema-level grants alone will cause permission errors because the schemas do not exist yet when the connector starts.\n\n### Configure Network Access\n\nCreate a network rule to allow the Openflow runtime to reach the Oracle database:\n\n```sql\nCREATE OR REPLACE NETWORK RULE oracle_network_rule\n  MODE = EGRESS\n  TYPE = HOST_PORT\n  VALUE_LIST = ('\u003Coracle_host\u003E:1521');\n```\n\n### Create External Access Integration\n\nA network rule alone is not sufficient — SPCS requires an External Access Integration (EAI) to allow outbound traffic. Create the EAI and attach the network rule:\n\n```sql\nCREATE OR REPLACE EXTERNAL ACCESS INTEGRATION oracle_eai\n  ALLOWED_NETWORK_RULES = (oracle_network_rule)\n  ENABLED = TRUE;\n```\n\nGrant the Openflow admin role permission to use the integration:\n\n```sql\nGRANT USAGE ON INTEGRATION oracle_eai TO ROLE OPENFLOW_ADMIN;\n```\n\n\u003E **Note:** Attach this EAI to your Openflow runtime when creating or updating the runtime configuration. Without it, the connector will fail to connect to the Oracle host at runtime. See [Create runtime](https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs-create-runtime) for details on configuring external access integrations for an Openflow runtime.\n\n\u003C!-- ------------------------ --\u003E\n## Configure the Oracle Connector\n\n### Open the Openflow UI\n\nNavigate to **Snowsight \u003E Ingestion \u003E Openflow**, select your deployment, and open the Openflow runtime UI.\n\n### Deploy the Connector\n\n1. On the Openflow overview page, in the **Featured connectors** section, select **View more connectors**\n2. Find **Openflow Connector for Oracle** and select **Add to runtime**\n3. In the **Select runtime** dialog, choose your runtime from the **Available runtimes** drop-down and click **Add**\n\n### Configure the Connection\n\nProvide the Oracle Source Parameters recorded during the verification step. The connector requires **two** JDBC URLs — a thin-driver URL for snapshot reads and an OCI-driver URL for the XStream CDC stream:\n\n| Parameter | Value |\n|-----------|-------|\n| Oracle Connection URL | `jdbc:oracle:thin:@\u003Coracle_host_ip_or_dns\u003E:1521/FREEPDB1` |\n| XStream Out Server URL | `jdbc:oracle:oci:@\u003Coracle_host_ip_or_dns\u003E:1521/FREEPDB1` |\n| Oracle Username | `c##connectuser` |\n| Oracle Password | `ConnectUser123!` |\n| XStream Out Server Name | `XOUT1` |\n\n\u003E **Important:** The **Oracle Connection URL** uses the thin JDBC driver (`jdbc:oracle:thin:@`) and is used for snapshot operations. The **XStream Out Server URL** uses the OCI JDBC driver (`jdbc:oracle:oci:@`) and is used for the CDC stream. Both are required — omitting the XStream Out Server URL will cause errors once the snapshot phase completes and incremental replication begins.\n\n### Configure the Replication Scope\n\nSelect which schemas and tables to replicate:\n\n- **Schemas:** `HR`, `CO` (or whichever schemas you configured in the XStream outbound server)\n- **Tables:** Select specific tables or replicate all tables within the selected schemas\n\n\u003E **Tip:** Snowflake target tables in the connector ingestion parameters must be specified as three-part fully qualified names: `DATABASE.SCHEMA.TABLE`. Two-part names (e.g., `SCHEMA.TABLE`) will cause errors.\n\n### Configure the Snowflake Target\n\n| Parameter | Value |\n|-----------|-------|\n| Target Database | `\u003Cyour_target_database\u003E` |\n| Target Schema | `\u003Cyour_target_schema\u003E` |\n| Table Naming | Match source table names (default) |\n\n### Verify Configuration Before Starting\n\nBefore enabling the connector, run **Verify Config** on the controller services and processors to catch configuration errors early:\n\n1. In the Openflow UI, right-click each **controller service** (e.g., the Oracle connection pool) and select **Verify Config**\n2. Right-click each **processor** in the flow and select **Verify Config**\n3. Resolve any reported errors — common issues include bad credentials, unreachable Oracle host, incorrect XStream server name, or missing EAI configuration\n\n\u003E **Tip:** Fixing issues at this stage is far easier than debugging a failed flow at runtime. Verify Config validates connectivity and credentials without starting data movement.\n\n### Start the Connector\n\n1. Enable the connector in the Openflow UI\n2. The connector performs an **initial snapshot** (full load) of the selected tables\n3. After the snapshot completes, the connector switches to **CDC mode** and streams ongoing changes\n\n\u003C!-- ------------------------ --\u003E\n## Verify and Monitor\n\n### Verify Data in Snowflake\n\n```sql\nSHOW TABLES IN SCHEMA \u003Ctarget_db\u003E.\u003Ctarget_schema\u003E;\n\nSELECT * FROM \u003Ctarget_db\u003E.\u003Ctarget_schema\u003E.\u003Ctable_name\u003E LIMIT 10;\n\nSELECT COUNT(*) FROM \u003Ctarget_db\u003E.\u003Ctarget_schema\u003E.\u003Ctable_name\u003E;\n```\n\n### Test CDC Replication\n\nOn the Oracle source, insert a test row and verify it appears in Snowflake:\n\n```sql\n-- On Oracle\nINSERT INTO hr.employees (employee_id, first_name, last_name, email)\nVALUES (9999, 'Test', 'User', 'test@example.com');\nCOMMIT;\n```\n\n```sql\n-- On Snowflake (should appear within seconds)\nSELECT * FROM \u003Ctarget_db\u003E.\u003Ctarget_schema\u003E.employees\nWHERE employee_id = 9999;\n```\n\n\u003E **Note:** Deletes in Oracle are replicated as **soft deletes** in Snowflake. The row remains in the target table with the metadata column `_SNOWFLAKE_DELETED` set to `TRUE` rather than being physically removed.\n\n### Monitor the Pipeline\n\nUse the Openflow UI to check connector status, throughput, and error counts. On the Oracle side, verify the capture process:\n\n```sql\nSELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED, TOTAL_MESSAGES_ENQUEUED\nFROM V$XSTREAM_CAPTURE;\n\nSELECT server_name, status, connect_user, capture_user\nFROM dba_xstream_outbound;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Troubleshooting\n\n### XStream Outbound Server Not Running\n\n```sql\nSELECT server_name, status FROM dba_xstream_outbound;\n\nBEGIN\n    DBMS_XSTREAM_ADM.ALTER_OUTBOUND(\n        server_name =\u003E 'XOUT1',\n        status      =\u003E 'ENABLED'\n    );\nEND;\n/\n```\n\n### Capture Process Not Starting\n\n```sql\nSELECT capture_name, status FROM dba_capture;\n\nBEGIN\n    DBMS_CAPTURE_ADM.START_CAPTURE('XSTREAM_CAPTURE');\nEND;\n/\n```\n\n### Supplemental Logging Issues\n\n```sql\nSELECT supplemental_log_data_min, supplemental_log_data_pk, supplemental_log_data_all\nFROM v$database;\n\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\nALTER DATABASE ADD SUPPLEMENTAL LOG DATA (PRIMARY KEY) COLUMNS;\n```\n\n### Network Connectivity\n\n- Ensure the Oracle host and port (1521) are accessible from the Snowflake SPCS compute pool\n- Verify the external access integration and network rules are correctly configured\n- Test connectivity using the Openflow UI's connection test feature\n\n\u003C!-- ------------------------ --\u003E\n## Cleanup\n\n\u003E **Caution:** The commands below permanently remove the XStream configuration, users, and supplemental logging. Before proceeding:\n\u003E - **Stop the Openflow connector** in the Openflow UI first. Dropping the outbound server while the connector is running will cause unrecoverable errors and may require a full re-snapshot.\n\u003E - **Verify licensing implications.** If you are using the Embedded licensing model, dropping and re-creating the XStream outbound server may require re-provisioning the Oracle license at additional cost.\n\u003E - **Confirm no other applications** depend on the XStream outbound server, supplemental logging, or GoldenGate replication settings before disabling them.\n\nTo remove the XStream configuration from Oracle:\n\n```sql\nBEGIN\n    DBMS_XSTREAM_ADM.DROP_OUTBOUND('XOUT1');\nEND;\n/\n\nDROP USER c##xstreamadmin CASCADE;\nDROP USER c##connectuser CASCADE;\n\nALTER DATABASE DROP SUPPLEMENTAL LOG DATA (ALL) COLUMNS;\n\nALTER SYSTEM SET enable_goldengate_replication=FALSE SCOPE=BOTH;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Tips for Production\n\nFor production deployments, consider the following DBA best practices:\n\n### Check I/O Headroom\n\nXStream capture reads redo logs continuously. Before enabling CDC on a busy database, verify that the storage subsystem has sufficient I/O headroom to handle the additional sequential read load. Monitor with `V$IOSTAT_FILE` and your OS-level I/O metrics.\n\n### Resize Redo Logs\n\nDefault redo log sizes (50–200 MB) cause frequent log switches under CDC workloads, which increases checkpoint overhead. Resize redo logs to **4–8 GB** to reduce switch frequency:\n\n```sql\n-- Check current redo log sizes\nSELECT group#, bytes/1024/1024 AS size_mb, status FROM v$log;\n```\n\nConsult Oracle documentation for the redo log resize procedure, as it requires cycling log groups.\n\n### Monitor V$XSTREAM_CAPTURE\n\nRegularly monitor the capture process to detect lag or bottlenecks:\n\n```sql\nSELECT CAPTURE_NAME, STATE, TOTAL_MESSAGES_CAPTURED,\n       TOTAL_MESSAGES_ENQUEUED, CAPTURE_MESSAGE_CREATE_TIME,\n       ENQUEUE_MESSAGE_CREATE_TIME\nFROM V$XSTREAM_CAPTURE;\n```\n\nA growing gap between `CAPTURE_MESSAGE_CREATE_TIME` and `ENQUEUE_MESSAGE_CREATE_TIME` indicates the capture process is falling behind.\n\n### Consider Downstream Capture for Extreme Scale\n\nFor very high-throughput databases where the redo read overhead is a concern, Oracle supports **downstream capture** — mining redo logs on a separate server rather than the production instance. This offloads all CDC processing from the primary database at the cost of additional infrastructure.\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion And Resources\n\nCongratulations! You've successfully set up a near real-time CDC pipeline from Oracle Database to Snowflake using the Openflow Connector for Oracle. Changes made in your Oracle source are now captured via XStream and streamed into Snowflake within seconds.\n\n### What You Learned\n- **Oracle XStream configuration** - Enabling ARCHIVELOG mode, GoldenGate replication, supplemental logging, and creating XStream users and outbound servers\n- **Openflow deployment** - Setting up the Openflow runtime in Snowflake on Snowpark Container Services\n- **Connector configuration** - Connecting the Oracle CDC connector to the XStream outbound server and configuring replication scope\n- **Verification and monitoring** - Validating data replication and monitoring pipeline health\n\n### Related Resources\n\nSnowflake Documentation:\n- [Openflow Overview](https://docs.snowflake.com/en/user-guide/data-integration/openflow/about)\n- [Openflow Connectors](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors)\n- [Set up Openflow - Snowflake Deployment](https://docs.snowflake.com/en/user-guide/data-integration/openflow/setup-openflow-spcs)\n- [Manage Openflow](https://docs.snowflake.com/en/user-guide/data-integration/openflow/manage)\n- [Monitor Openflow](https://docs.snowflake.com/en/user-guide/data-integration/openflow/monitor)\n\nVideo:\n- [How-to Set Up Near Real-Time Oracle CDC to Snowflake using Openflow](https://www.youtube.com/watch?v=nLGnb1VoJuc)\n\nGitHub:\n- [Oracle Free 23ai Snowflake Openflow Setup](https://github.com/sharvankumar/oracle-free23-snowflake-openflow) - Oracle XStream setup script and configuration reference\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment","isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-790655e797","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-aa6b1f3ce2",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-2af1f8d057","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-04-07",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-3a5d85e3c8","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake 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