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Export multiple similar PostgreSQL tables to one SQL file

Want to export data from multiple similar PostgreSQL tables to one SQL file?

Try Withdata DBToFile, a PostgreSQL to SQL converter for Windows, Linux, and macOS, Export PostgreSQL data to SQL, Easy and Fast.

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Linux .deb (For Debian, Ubuntu) 64 bit
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MacOS 64 bit

Export multiple similar PostgreSQL tables to a single SQL file

Login to PostgreSQL -> Select PostgreSQL tables -> Set SQL file options -> Export PostgreSQL to SQL

Choose PostgreSQL and logon.

Click “Export Similar Tables” at task dialog.

Select SQL file type.

1. Select similar PostgreSQL tables.

2. Set SQL file options.

3. Set rows options.

4. Export multiple similar PostgreSQL tables to a single SQL file.

After exporting, you can view output SQL file.


More about PostgreSQL to SQL converter

See also:

PostgreSQL → SQL reference

Type mapping

Value kindin PostgreSQLin SQL
IntintegerINT
BigintbigintBIGINT
Decimalnumeric(p,s)DECIMAL(p,s)
Floatdouble precisionDOUBLE PRECISION
Textvarchar(n)VARCHAR(n)
Long texttextTEXT / CLOB
DatedateDATE
DatetimetimestampTIMESTAMP
BinarybyteaBLOB / BYTEA
BooleanbooleanBOOLEAN / SMALLINT
JSONjsonbJSON / TEXT

Dialect differences

PostgreSQL is a database server and SQL is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin PostgreSQLin SQL
port5432—
identifiers"double quotes"Two competing conventions: single-quoted literals and diale...
row limitLIMIT n—
datestimestamp, timestamptz, date, timeDepends on the dialect: DATE literals, TO_DATE(), or plain ...
long textTEXT—
binaryBYTEADialect-specific: X-quoted literal, 0x hex, or decode()
separator—Statement terminators (;)
encoding—No declaration
typing—Types belong to the target database, and they differ betwee...
shapeTables of rows and columnsStatements; a dump usually means CREATE TABLE plus INSERT rows
ceiling—No formal limit, but a single INSERT statement has to fit i...

Command line

SideCommand
PostgreSQLpg_dump or COPY ... TO
PostgreSQL (load)COPY ... FROM

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