--- slug: /en/sql-reference/table-functions/postgresql sidebar_position: 42 sidebar_label: postgresql --- # postgresql Allows `SELECT` and `INSERT` queries to be performed on data that is stored on a remote PostgreSQL server. **Syntax** ``` sql postgresql('host:port', 'database', 'table', 'user', 'password'[, `schema`]) ``` **Arguments** - `host:port` — PostgreSQL server address. - `database` — Remote database name. - `table` — Remote table name. - `user` — PostgreSQL user. - `password` — User password. - `schema` — Non-default table schema. Optional. **Returned Value** A table object with the same columns as the original PostgreSQL table. :::note In the `INSERT` query to distinguish table function `postgresql(...)` from table name with column names list you must use keywords `FUNCTION` or `TABLE FUNCTION`. See examples below. ::: ## Implementation Details `SELECT` queries on PostgreSQL side run as `COPY (SELECT ...) TO STDOUT` inside read-only PostgreSQL transaction with commit after each `SELECT` query. Simple `WHERE` clauses such as `=`, `!=`, `>`, `>=`, `<`, `<=`, and `IN` are executed on the PostgreSQL server. All joins, aggregations, sorting, `IN [ array ]` conditions and the `LIMIT` sampling constraint are executed in ClickHouse only after the query to PostgreSQL finishes. `INSERT` queries on PostgreSQL side run as `COPY "table_name" (field1, field2, ... fieldN) FROM STDIN` inside PostgreSQL transaction with auto-commit after each `INSERT` statement. PostgreSQL Array types converts into ClickHouse arrays. :::note Be careful, in PostgreSQL an array data type column like Integer[] may contain arrays of different dimensions in different rows, but in ClickHouse it is only allowed to have multidimensional arrays of the same dimension in all rows. ::: Supports multiple replicas that must be listed by `|`. For example: ```sql SELECT name FROM postgresql(`postgres{1|2|3}:5432`, 'postgres_database', 'postgres_table', 'user', 'password'); ``` or ```sql SELECT name FROM postgresql(`postgres1:5431|postgres2:5432`, 'postgres_database', 'postgres_table', 'user', 'password'); ``` Supports replicas priority for PostgreSQL dictionary source. The bigger the number in map, the less the priority. The highest priority is `0`. **Examples** Table in PostgreSQL: ``` text postgres=# CREATE TABLE "public"."test" ( "int_id" SERIAL, "int_nullable" INT NULL DEFAULT NULL, "float" FLOAT NOT NULL, "str" VARCHAR(100) NOT NULL DEFAULT '', "float_nullable" FLOAT NULL DEFAULT NULL, PRIMARY KEY (int_id)); CREATE TABLE postgres=# INSERT INTO test (int_id, str, "float") VALUES (1,'test',2); INSERT 0 1 postgresql> SELECT * FROM test; int_id | int_nullable | float | str | float_nullable --------+--------------+-------+------+---------------- 1 | | 2 | test | (1 row) ``` Selecting data from ClickHouse: ```sql SELECT * FROM postgresql('localhost:5432', 'test', 'test', 'postgresql_user', 'password') WHERE str IN ('test'); ``` ``` text ┌─int_id─┬─int_nullable─┬─float─┬─str──┬─float_nullable─┐ │ 1 │ ᴺᵁᴸᴸ │ 2 │ test │ ᴺᵁᴸᴸ │ └────────┴──────────────┴───────┴──────┴────────────────┘ ``` Inserting: ```sql INSERT INTO TABLE FUNCTION postgresql('localhost:5432', 'test', 'test', 'postgrsql_user', 'password') (int_id, float) VALUES (2, 3); SELECT * FROM postgresql('localhost:5432', 'test', 'test', 'postgresql_user', 'password'); ``` ``` text ┌─int_id─┬─int_nullable─┬─float─┬─str──┬─float_nullable─┐ │ 1 │ ᴺᵁᴸᴸ │ 2 │ test │ ᴺᵁᴸᴸ │ │ 2 │ ᴺᵁᴸᴸ │ 3 │ │ ᴺᵁᴸᴸ │ └────────┴──────────────┴───────┴──────┴────────────────┘ ``` Using Non-default Schema: ```text postgres=# CREATE SCHEMA "nice.schema"; postgres=# CREATE TABLE "nice.schema"."nice.table" (a integer); postgres=# INSERT INTO "nice.schema"."nice.table" SELECT i FROM generate_series(0, 99) as t(i) ``` ```sql CREATE TABLE pg_table_schema_with_dots (a UInt32) ENGINE PostgreSQL('localhost:5432', 'clickhouse', 'nice.table', 'postgrsql_user', 'password', 'nice.schema'); ``` **See Also** - [The PostgreSQL table engine](../../engines/table-engines/integrations/postgresql.md) - [Using PostgreSQL as a dictionary source](../../sql-reference/dictionaries/index.md#dictionary-sources#dicts-external_dicts_dict_sources-postgresql) ## Related content - Blog: [ClickHouse and PostgreSQL - a match made in data heaven - part 1](https://clickhouse.com/blog/migrating-data-between-clickhouse-postgres) - Blog: [ClickHouse and PostgreSQL - a Match Made in Data Heaven - part 2](https://clickhouse.com/blog/migrating-data-between-clickhouse-postgres-part-2)