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Database

ClickHouse destination

Replicate Supabase Postgres changes to ClickHouse.

The ClickHouse destination is in private alpha and available only to approved organizations. Request access before following this guide.

Replicate Postgres changes to ClickHouse as current-state tables or an append-only history. Choose a table engine, prepare resources, then configure the destination.

Source table requirements#

ReplacingMergeTree requires a source primary key. MergeTree can replicate insert-only tables without one. Include all primary-key columns in the publication when the table has a key.

Check the replica-identity and array requirements for your source tables.

Choose a table engine#

The table engine controls how ClickHouse represents changes. It is selected for the entire destination.

Choose the engine before creating the pipeline. Changing Table engine later does not convert existing destination tables; writes fail if their engine differs from the configured one. Restore the previous setting to resume using those tables.

EngineData model and query pattern
ReplacingMergeTreeCurrent-state tables. Requires a primary key. Query the generated __current view.
MergeTreeAppend-only CDC history. A primary key is optional for insert-only tables. Query the base table.

Updating a source primary-key value removes the old key from the current-state view and writes the row under its new key. Changing the primary-key definition is a separate schema change.

Prepare ClickHouse resources#

Before creating the destination:

  1. Create or choose a ClickHouse database for the replicated tables.
  2. Create a dedicated ClickHouse user for Pipelines.
  3. Grant the user access to the target database. Pipelines must be able to:
    • Query system.databases, system.tables, and system.columns
    • Create, alter, truncate, and drop tables
    • Create and drop views when using ReplacingMergeTree
    • Insert rows into managed tables
  4. Copy the database's HTTPS endpoint, including its port when required. Pipelines rejects HTTP endpoints and private or internal hostnames.

Keep the database otherwise empty. Pipelines manages the replicated tables and current-state views. Don't pre-create or manually alter those objects.

The default ReplacingMergeTree engine requires ClickHouse 23.5 or later. The MergeTree event-log engine does not have this minimum-version requirement.

Configure ClickHouse as a destination#

Follow Set up Pipelines and select ClickHouse. Enter these destination settings:

FieldValue
URLPublic HTTPS endpoint, including its port when required
UserDedicated ClickHouse user
PasswordUser's password, if required
DatabaseExisting target database
Table enginereplacing_merge_tree for current state or merge_tree for event history

Click Create and start pipeline and complete the validation and cost confirmations.

Place ClickHouse near the managed pipeline region.

Query replicated data#

How table names are mapped#

Pipelines maps each Postgres schema and table pair to one ClickHouse table. Existing underscores are doubled, and the schema and table names are joined with one underscore:

Postgres tableClickHouse table
public.orderspublic_orders
my_schema.logsmy__schema_logs

Postgres schema and table names cannot start or end with _ or contain " or ; when replicating to ClickHouse.

ReplacingMergeTree#

ReplacingMergeTree is the default and is intended for current-state analytics. Pipelines:

  • Uses the source primary key as ClickHouse's sorting and deduplication key
  • Adds an _etl_version UInt128 ordering column
  • Adds an _etl_deleted UInt8 tombstone column
  • Creates a <table>__current view that runs the base table with FINAL and removes deleted rows

The _etl_version and _etl_deleted names are reserved and can't be used by source columns.

Query the generated view for the current state:

select *
from "public_orders__current";

ClickHouse background merges combine older row versions over time. Until they do, querying the base table without FINAL can return multiple versions of the same source row. Use the generated __current view for normal current-state queries.

Pipelines does not run OPTIMIZE ... FINAL CLEANUP. ClickHouse operators remain responsible for any physical tombstone cleanup required by their storage-retention policy.

MergeTree#

MergeTree stores every replicated change as an append-only event. Pipelines adds:

  • cdc_operation, containing INSERT, UPDATE, or DELETE
  • cdc_lsn, containing the Postgres commit LSN for the change
  • cdc_tx_ordinal, containing the change's position within that transaction

The cdc_operation, cdc_lsn, and cdc_tx_ordinal names are reserved and can't be used by source columns.

Inserts and updates append the complete new row. A primary-key value update also appends a DELETE for the old key. Deletes append the old row when the source uses REPLICA IDENTITY FULL. With primary-key identity, a delete contains the key values; other fields use NULL for nullable scalars or placeholders such as zero, empty strings, and empty arrays. Those placeholders are not the deleted row's original values.

Read the base table to analyze the event history. Order source changes by cdc_lsn and then cdc_tx_ordinal. The old-key delete and new-key update from one primary-key value change share both values, so this pair is not a unique destination-row ID.

Truncates and table restarts#

A source TRUNCATE truncates the ClickHouse table for either engine, then ongoing replication continues. It does not start a new initial sync.

Restarting replication for a table drops and recreates its table and, for ReplacingMergeTree, its generated view. A table restart erases the accumulated destination data and copies existing source rows only if the table is selected for initial sync.

Replica identity and arrays#

Published operationRequired replica identity
InsertNone; ReplacingMergeTree still requires a primary key
UpdatePrimary-key identity or REPLICA IDENTITY FULL; updates must contain complete new rows
DeletePrimary-key identity or REPLICA IDENTITY FULL
Delete with REPLICA IDENTITY USING INDEXThe index must contain exactly the source primary-key columns

REPLICA IDENTITY NOTHING cannot support updates or deletes.

Use REPLICA IDENTITY FULL for tables whose updates can omit unchanged out-of-line TOAST values. It lets Pipelines reconstruct the complete new row. Changing replica identity affects only new WAL; incompatible retained updates can still require a table restart.

Array elements can be NULL, but a top-level array value cannot. Replace top-level NULL values and enforce NOT NULL, or ensure producers always supply an array. Empty arrays are supported.

Type mapping#

Pipelines creates ClickHouse columns with these mappings:

Postgres typeClickHouse type
booleanBoolean
smallintInt16
integerInt32
bigintInt64
realFloat32
double precisionFloat64
dateDate32
timestamp without time zoneDateTime64(6)
timestamp with time zoneDateTime64(6, 'UTC')
uuidUUID
oidUInt32
Other scalar and custom typesString
ArraysArray(Nullable(<element>))

Nullable scalar columns are wrapped in Nullable(...). Character, text, numeric, money, JSON, time, interval, binary, bit-string, enum, and unsupported custom values are serialized into String columns rather than stored as native ClickHouse types.

Schema change support#

Pipelines supports:

  • Adding columns
  • Renaming or dropping columns; nested subcolumns must stay under the same parent when renamed
  • Dropping NOT NULL from an existing scalar column
  • Adding, changing, or removing supported column defaults
  • Adding or removing published columns on tracked tables, subject to the same restrictions

With ReplacingMergeTree, renaming or dropping a primary-key column or changing the key's columns or their order is rejected.

New scalar columns are made nullable when ClickHouse needs a value for historical rows and the source default cannot be represented safely. Adding NOT NULL keeps an existing destination column nullable. Defaults that cannot be translated are skipped; Postgres still supplies the source values through replication.

A previously excluded scalar column is added without a default, leaving historical rows NULL. Removing a published column drops its destination values; adding it again does not restore them. To include a previously excluded array column, select the table for initial sync and restart its replication.

For type changes, unsupported changes, and interrupted schema changes, see the shared schema-change behavior and recovery.

Troubleshooting#

IssueResolution
URL or connection failsUse a reachable public HTTPS endpoint with the correct port and credentials. Private endpoints are unsupported.
Validation passes but setup or writes failCheck permissions and resource requirements, including table ownership and the server version.
Updates, deletes, or arrays failCheck the source table requirements.
A schema change failsFollow the shared schema-change behavior and recovery.

Use pipeline monitoring to inspect errors and include the pipeline ID when contacting support.

Additional resources#