Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: Add Hive as a supported data source to docs #354

Merged
merged 2 commits into from
Dec 17, 2021
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ DVT supports the following connection types:
* [Redshift](docs/connections.md#redshift)
* [FileSystem](docs/connections.md#filesystem)
* [Impala](docs/connections.md#impala)
* [Hive](docs/connections.md#hive)

The [Connections](docs/connections.md) page provides details about how to create
and list connections for the validation tool.
Expand Down
15 changes: 15 additions & 0 deletions docs/connections.md
Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@ The data validation tool supports the following connection types.
* [Redshift](#redshift)
* [FileSystem](#filesystem)
* [Impala](#Impala)
* [Hive](#Hive)

As you see above, Teradata and BigQuery have different sets of custom arguments (for example project_id for BQ versus host for Teradata).

Expand Down Expand Up @@ -261,3 +262,17 @@ Then `pip install pyodbc`.
"auth_mechanism":"PLAIN"
}
```

## Hive
```
{
# Hive is based off Impala connector
"source_type": "Impala",
# Connection Details
"host": "HIVE_IP_ADDRESS",
"port": 10000,
"database": "default",
"auth_mechanism":"PLAIN"
}
```