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Impala adapter for DBT

Project description

dbt-impala

The dbt-impala adapter allows you to use dbt along with Apache Impala and Cloudera Data Platform

Getting started

Requirements

Current version of dbt-impala work only with dbt-core 1.4 but not with dbt-core >= 1.5. We are actively working on next release 1.5 which will work with dbt-core 1.5

Python >= 3.7 dbt-core == 1.3.*

For development/testing or contribution to the dbt-impala, please follow Contributing guidelines.

Installing dbt-impala

pip install dbt-impala

Profile Setup

demo_project:
  target: dev
  outputs:
    dev:
     type: impala
     host: impala-coordinator.my.org.com
     port: 443
     dbname: my_db
     schema: my_db
     user: my_user
     password: my_pass
     auth_type: ldap
     http_path: cliservice

Supported features

Name Supported Iceberg
Materialization: View Yes N/A
Materialization: Table Yes Yes
Materialization: Table with Partitions Yes Yes
Materialization: Incremental - Append Yes Yes
Materialization: Incremental - Append with Partitions Yes Yes
Materialization: Incremental - Insert+Overwrite Yes Yes
Materialization: Incremental - Insert+Overwrite with Partition Yes Yes
Materialization: Incremental - Merge No No
Materialization: Ephemeral Yes Yes
Seeds Yes Yes
Tests Yes Yes
Snapshots No No
Documentation Yes Yes
Authentication: LDAP Yes Yes
Authentication: Kerberos Yes No

Tests Coverage

Functional Tests

Name Base Iceberg
Materialization: View Yes N/A
Materialization: Table Yes Yes
Materialization: Table with Partitions Yes Yes
Materialization: Incremental - Append Yes Yes
Materialization: Incremental - Append with Partitions Yes Yes
Materialization: Incremental - Insert+Overwrite Yes Yes
Materialization: Incremental - Insert+Overwrite with Partition Yes Yes
Materialization: Ephemeral Yes Yes
Seeds Yes Yes
Tests Yes Yes
Snapshots No No
Documentation Yes Yes
Authentication: LDAP Yes Yes
Authentication: Kerberos No No

Project details


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dbt_impala-1.4.3-py3-none-any.whl (44.3 kB view hashes)

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