Load Data into Cloudberry Database Using gpload
The gpload
utility of Cloudberry Database loads data using readable external tables and the Cloudberry Database parallel file server (gpfdist). It handles parallel file-based external table setup and allows users to configure their data format, external table definition, and gpfdist setup in a single configuration file.
In gpload
, MERGE
and UPDATE
operations are not supported if the target table column name is a reserved keyword, has capital letters, or includes any character that requires quotes " "
to identify the column.
To use gpload
-
Ensure that your environment is set up to run
gpload
. Some dependent files from your Cloudberry Database installation are required, such as gpfdist and Python 3, as well as network access to the Cloudberry Database segment hosts.gpload
also requires that you install the following packages:pip install psycopg2 pyyaml
-
Create your load control file. This is a YAML-formatted file that specifies the Cloudberry Database connection information, gpfdist configuration information, external table options, and data format.
For example:
---
VERSION: 1.0.0.1
DATABASE: ops
USER: gpadmin
HOST: cdw-1
PORT: 5432
GPLOAD:
INPUT:
- SOURCE:
LOCAL_HOSTNAME:
- etl1-1
- etl1-2
- etl1-3
- etl1-4
PORT: 8081
FILE:
- /var/load/data/*
- COLUMNS:
- name: text
- amount: float4
- category: text
- descr: text
- date: date
- FORMAT: text
- DELIMITER: '|'
- ERROR_LIMIT: 25
- LOG_ERRORS: true
OUTPUT:
- TABLE: payables.expenses
- MODE: INSERT
PRELOAD:
- REUSE_TABLES: true
# SQL:
# - BEFORE: "INSERT INTO audit VALUES('start', current_timestamp)"
# - AFTER: "INSERT INTO audit VALUES('end', current_timestamp)" -
Run
gpload
, passing in the load control file. For example:gpload -f my_load.yml