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Update links and fix vulnerabilities (#59)
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* Update links to coverage functions and features

* Fix vulnerability in action-download-artifact

* Update package.json to fix vulnerabilities

* update link in references

* fix links

* format sql
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hovaesco authored Dec 6, 2024
1 parent 148fa6d commit 968e61d
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6 changes: 3 additions & 3 deletions .github/workflows/preview-deploy.yml
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Expand Up @@ -12,7 +12,7 @@ jobs:
if: github.event.workflow_run.event == 'pull_request' && github.event.workflow_run.conclusion == 'success'
steps:
- name: download pr artifact
uses: dawidd6/action-download-artifact@v3
uses: dawidd6/action-download-artifact@v6
with:
workflow: ${{ github.event.workflow_run.workflow_id }}
name: pr
Expand All @@ -22,7 +22,7 @@ jobs:
run: echo "::set-output name=id::$(<pr-id.txt)"

- name: Download dist artifact
uses: dawidd6/action-download-artifact@v3
uses: dawidd6/action-download-artifact@v6
with:
workflow: ${{ github.event.workflow_run.workflow_id }}
workflow_conclusion: success
Expand Down Expand Up @@ -60,7 +60,7 @@ jobs:
if: github.event.workflow_run.event == 'pull_request' && github.event.workflow_run.conclusion == 'failure'
steps:
- name: Download PR artifact
uses: dawidd6/action-download-artifact@v3
uses: dawidd6/action-download-artifact@v6
with:
workflow: ${{ github.event.workflow_run.workflow_id }}
name: pr
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2 changes: 1 addition & 1 deletion content/en/getting-started/faq/index.md
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Expand Up @@ -13,7 +13,7 @@ Yes, the Snowflake emulator supports the Snowflake v2 SQL API (`/api/v2/*` endpo

### Why are my Snowflake tests failing?

The Snowflake emulator is in **preview** and may not support all Snowflake features. If your tests are failing, it could be due to the lack of support for certain Snowflake features in the emulator. We recommend checking the [function coverage](https://snowflake.localstack.cloud/references/coverage/) to see the list of supported functions. If you encounter any issues, you can connect with us for [support](#support-faqs).
The Snowflake emulator is in **preview** and may not support all Snowflake features. If your tests are failing, it could be due to the lack of support for certain Snowflake features in the emulator. We recommend checking the [function coverage](https://snowflake.localstack.cloud/references/coverage-functions/) to see the list of supported SQL functions and [feature coverage](https://snowflake.localstack.cloud/references/coverage-features/) to see the list of supported features. If you encounter any issues, you can connect with us for [support](#support-faqs).

### Why does the Snowflake emulator run on `snowflake.localhost.localstack.cloud`?

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2 changes: 1 addition & 1 deletion content/en/introduction/_index.md
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Expand Up @@ -25,4 +25,4 @@ The Snowflake emulator supports the following features:
* ... and more!

Integrating the Snowflake emulator into your existing CI/CD pipeline allows you to run integration tests and identify issues early, reducing surprises during production deployment.
Check our [Function Coverage]({{< ref "coverage-functions" >}}) and [Function Coverage]({{< ref "coverage-features" >}}) pages for a comprehensive list of supported functions.
Check our [SQL Functions Coverage]({{< ref "coverage-functions" >}}) and [Feature Coverage]({{< ref "coverage-features" >}}) pages for a comprehensive list of supported functions.
2 changes: 1 addition & 1 deletion content/en/references/_index.html
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Expand Up @@ -4,7 +4,7 @@
layout: redirect
sitemap_exclude: true
weight: 5
redirect: references/coverage
redirect: references/coverage-features
cascade:
type: docs
---
28 changes: 14 additions & 14 deletions content/en/user-guide/snowpark/index.md
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Expand Up @@ -46,20 +46,20 @@ You can create a table named `sample_product_data` and fill the table with some
session.sql('CREATE OR REPLACE TABLE sample_product_data (id INT, parent_id INT, category_id INT, name VARCHAR, serial_number VARCHAR, key INT, "3rd" INT)').collect()
[Row(status='Table SAMPLE_PRODUCT_DATA successfully created.')]
session.sql("""
... INSERT INTO sample_product_data VALUES
... (1, 0, 5, 'Product 1', 'prod-1', 1, 10),
... (2, 1, 5, 'Product 1A', 'prod-1-A', 1, 20),
... (3, 1, 5, 'Product 1B', 'prod-1-B', 1, 30),
... (4, 0, 10, 'Product 2', 'prod-2', 2, 40),
... (5, 4, 10, 'Product 2A', 'prod-2-A', 2, 50),
... (6, 4, 10, 'Product 2B', 'prod-2-B', 2, 60),
... (7, 0, 20, 'Product 3', 'prod-3', 3, 70),
... (8, 7, 20, 'Product 3A', 'prod-3-A', 3, 80),
... (9, 7, 20, 'Product 3B', 'prod-3-B', 3, 90),
... (10, 0, 50, 'Product 4', 'prod-4', 4, 100),
... (11, 10, 50, 'Product 4A', 'prod-4-A', 4, 100),
... (12, 10, 50, 'Product 4B', 'prod-4-B', 4, 100)
... """).collect()
INSERT INTO sample_product_data VALUES
(1, 0, 5, 'Product 1', 'prod-1', 1, 10),
(2, 1, 5, 'Product 1A', 'prod-1-A', 1, 20),
(3, 1, 5, 'Product 1B', 'prod-1-B', 1, 30),
(4, 0, 10, 'Product 2', 'prod-2', 2, 40),
(5, 4, 10, 'Product 2A', 'prod-2-A', 2, 50),
(6, 4, 10, 'Product 2B', 'prod-2-B', 2, 60),
(7, 0, 20, 'Product 3', 'prod-3', 3, 70),
(8, 7, 20, 'Product 3A', 'prod-3-A', 3, 80),
(9, 7, 20, 'Product 3B', 'prod-3-B', 3, 90),
(10, 0, 50, 'Product 4', 'prod-4', 4, 100),
(11, 10, 50, 'Product 4A', 'prod-4-A', 4, 100),
(12, 10, 50, 'Product 4B', 'prod-4-B', 4, 100)
""").collect()
```

You can verify that the table was created and the data was inserted by executing the following Python code:
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