How to load data from Oracle DB to Postgres destination

Learn how to use Airbyte to synchronize your Oracle DB data into Postgres destination within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Oracle DB connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Postgres destination for your extracted Oracle DB data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Oracle DB to Postgres destination in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Environment Setup

1. Install Oracle Database Utilities: Ensure that you have Oracle Database utilities like SQL*Plus and Data Pump (expdp and impdp) installed on your Oracle server.

2. Install PostgreSQL: Make sure PostgreSQL is installed on the target server.

3. Access Credentials: Have the necessary credentials (username, password, database names, hostnames, port numbers) for both Oracle and PostgreSQL databases at hand.

Step 2: Plan the Migration

1. Identify Data to Migrate: Determine which schemas, tables, or data need to be migrated.

2. Data Type Mapping: Analyze the data types used in Oracle and determine the equivalent PostgreSQL data types.

3. Character Set Considerations: Ensure that the character sets are compatible between Oracle and PostgreSQL or plan for conversion if they are not.

Step 3: Export Data from Oracle

1. Prepare for Export: Disable any foreign keys, triggers, or other dependencies that might interfere with the export process.

2. Export with SQL*Plus:

- Connect to Oracle using SQL*Plus:

```shell

sqlplus username/password@//hostname:port/SID

```

- Spool the data to a flat file:

```sql

SET ECHO OFF

SET FEEDBACK OFF

SET HEADING OFF

SPOOL /path/to/exported_data.txt

SELECT * FROM schema_name.table_name;

SPOOL OFF

EXIT

```

- Repeat the above step for each table you wish to export.

Step 4: Prepare PostgreSQL for Import

1. Create Database and Schema: If not already present, create the database and schema in PostgreSQL.

2. Create Tables: Based on the data type mapping, create the corresponding tables in PostgreSQL with appropriate data types.

3. Adjust PostgreSQL Settings: Modify `postgresql.conf` if necessary to increase settings like `max_allowed_packet` to accommodate large data imports.

Step 5: Import Data into PostgreSQL

1. Prepare for Import: Disable triggers, foreign keys, and indexes in PostgreSQL to speed up the import process.

2. Import Using psql:

- Connect to PostgreSQL using psql:

```shell

psql -U username -d database_name -h hostname -p port

```

- Use the COPY command to import data:

```sql

\COPY schema_name.table_name FROM '/path/to/exported_data.txt' WITH (FORMAT csv, DELIMITER '|', NULL 'NULL');

```

- Repeat the above step for each exported file corresponding to a table.

Step 6: Verify Data Integrity

1. Check Row Counts: Compare the row counts in both Oracle and PostgreSQL to ensure they match.

2. Check Data Consistency: Run sample queries on both databases to verify that the data is consistent.

3. Re-enable Constraints: Re-enable foreign keys, triggers, and indexes in PostgreSQL and validate them.

Step 7: Finalize the Migration

1. Performance Tuning: Analyze the imported tables and run `VACUUM ANALYZE` to update statistics for the PostgreSQL query planner.

2. Test Applications: Update your application connection strings and thoroughly test to ensure that the applications work as expected with the new PostgreSQL database.

3. Backup: Take a backup of the PostgreSQL database after the migration is confirmed to be successful.

Additional Tips

- Always perform the migration first on a test environment before applying it to production.

- For large datasets, consider using PostgreSQL's `pg_dump` and `pg_restore` utilities with custom scripts to handle data type conversion.

- Thoroughly document the migration process, including any data type transformations and issues encountered.

Remember, this is a high-level guide, and actual migration may involve additional complexities depending on the specific use case and data involved. Always ensure you have a backup and recovery strategy in place before beginning any migration.