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Merge pull request #60 from FlipsideCrypto/STREAM-1273/lq-udf-api-batched

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bump livequery -> v1.8.0
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Shah Newaz Khan 2025-05-22 10:20:32 -07:00 committed by GitHub
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12
README.md
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@ -267,15 +267,14 @@ LiveQuery is now available to be deployed into individual projects. For base fun
1. Make sure `fsc-utils` package referenced in the project is version `v1.33.2` or greater. Re-run `dbt deps` if revision was changed.
**NOTE** : To circumvent a circular dependency issue with install FSC DBT packages into `livequery_models`, all the `livequer-models/deploy/core` models have been moved to [livequery-base](https://github.com/FlipsideCrypto/livequery-base). As such we need to use it to install the core `LiveQuery` schema's and functions.
`livequery_base deploy core` uses ephemeral models, therefore it is recommended to specify the materialization for `livequery_models` in your project's `dbt_project.yml` to `ephemeral` to avoid any conflicts.
`livequery_models deploy core` uses ephemeral models, therefore it is recommended to specify the materialization for `livequery_models` in your project's `dbt_project.yml` to `ephemeral` to avoid any conflicts.
```yml
# dbt_project.yml
---
models:
livequery_base:
livequery_models:
deploy:
core:
materialized: ephemeral
@ -286,13 +285,13 @@ LiveQuery is now available to be deployed into individual projects. For base fun
By Schema
```
dbt run -s livequery_base.deploy.core --vars '{UPDATE_UDFS_AND_SPS: true}'
dbt run -s livequery_models.deploy.core --vars '{UPDATE_UDFS_AND_SPS: true}'
```
By Tag
```
dbt run -s "livequery_base,tag:core" --vars '{UPDATE_UDFS_AND_SPS: true}'
dbt run -s "livequery_models,tag:core" --vars '{UPDATE_UDFS_AND_SPS: true}'
```
3. Deploy any additional functions
@ -316,7 +315,7 @@ LiveQuery is now available to be deployed into individual projects. For base fun
Individual projects have the option to point to a different LiveQuery API endpoint. To do so, modify your project's `dbt_projects.yml` to include the additional configurations within the project `vars`. If no configurations are specified, the default endpoints defined in the `livequery_models` package are used.
Below is a sample configuration. The `API_INTEGRATION` and `EXTERNAL_FUNCTION_URI` should point to the specific resources deployed for your project. The `ROLES` property is a list of Snowflake role names that are granted usage to the LiveQuery functions on deployment.
Below is a sample configuration. The `API_INTEGRATION` and `EXTERNAL_FUNCTION_URI` should point to the specific resources deployed for your project. The `ROLES` property is a list of Snowflake role names that are granted usage to the LiveQuery functions on deployment. You can also add the optional `MAX_BATCH_ROWS` variable to limit the number of rows processed in a single batch to the `udf_api_batched` function (available starting with `v1.8.0`).
```
config:
@ -326,6 +325,7 @@ config:
EXTERNAL_FUNCTION_URI: myproject.api.livequery.com/path-to-endpoint/
ROLES:
- INTERNAL_DEV
MAX_BATCH_ROWS: 10
```
## Snowflake Tasks for GitHub Actions

2
packages.yml
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@ -4,5 +4,5 @@ packages:
- package: dbt-labs/dbt_utils
version: [">=1.0.0", "<1.1.0"]
- git: https://github.com/FlipsideCrypto/livequery-models.git
revision: "v1.7.0"
revision: "v1.8.0"