mirror of https://github.com/dapr/docs.git
Merge branch 'dapr:v1.3' into release-v1.4
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commit
77dc3c99f9
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@ -10,10 +10,6 @@ aliases:
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[GitHub Codespaces](https://github.com/features/codespaces) are the easiest way to get up and running for contributing to a Dapr repo. In as little as a single click, you can have an environment with all of the prerequisites ready to go in your browser.
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{{% alert title="Private Beta" color="warning" %}}
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GitHub Codespaces is currently in a private beta. Sign up [here](https://github.com/features/codespaces/signup).
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{{% /alert %}}
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## Features
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- **Click and Run**: Get a dedicated and sandboxed environment with all of the required frameworks and packages ready to go.
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@ -0,0 +1,37 @@
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---
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type: docs
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weight: 10000
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title: "Use the Dapr CLI in a GitHub Actions workflow"
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linkTitle: "GitHub Actions"
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description: "Learn how to add the Dapr CLI to your GitHub Actions to deploy and manage Dapr in your environments."
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---
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Dapr can be integrated with GitHub Actions via the [Dapr tool installer](https://github.com/marketplace/actions/dapr-tool-installer) available in the GitHub Marketplace. This installer adds the Dapr CLI to your workflow, allowing you to deploy, manage, and upgrade Dapr across your environments.
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## Overview
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The `dapr/setup-dapr` action will install the specified version of the Dapr CLI on macOS, Linux and Windows runners. Once installed, you can run any [Dapr CLI command]({{< ref cli >}}) to manage your Dapr environments.
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## Example
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```yaml
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- name: Install Dapr
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uses: dapr/setup-dapr@v1
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with:
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version: '1.3.0'
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- name: Initialize Dapr
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shell: pwsh
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run: |
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# Get the credentials to K8s to use with dapr init
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az aks get-credentials --resource-group ${{ env.RG_NAME }} --name "${{ steps.azure-deployment.outputs.aksName }}"
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# Initialize Dapr
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# Group the Dapr init logs so these lines can be collapsed.
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Write-Output "::group::Initialize Dapr"
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dapr init --kubernetes --wait --runtime-version ${{ env.DAPR_VERSION }}
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Write-Output "::endgroup::"
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dapr status --kubernetes
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working-directory: ./twitter-sentiment-processor/demos/demo3
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```
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A common scenario in distributed computing is to only allow for a given number of requests to execute concurrently.
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Using Dapr, you can control how many requests and events will invoke your application simultaneously.
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*Note that this rate limiing is guaranteed for every event that's coming from Dapr, meaning Pub/Sub events, direct invocation from other services, bindings events etc. Dapr can't enforce the concurrency policy on requests that are coming to your app externally.*
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*Note that this rate limiting is guaranteed for every event that's coming from Dapr, meaning Pub/Sub events, direct invocation from other services, bindings events etc. Dapr can't enforce the concurrency policy on requests that are coming to your app externally.*
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*Note that rate limiting per second can be achieved by using the **middleware.http.ratelimit** middleware. However, there is an imporant difference between the two approaches. The rate limit middlware is time bound and limits the number of requests per second, while the `app-max-concurrency` flag specifies the number of concurrent requests (and events) at any point of time. See [Rate limit middleware]({{< ref middleware-rate-limit.md >}}). *
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dapr run --app-max-concurrency 1 --app-port 5000 python ./app.py
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```
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The above examples will effectively turn your app into a single concurrent service.
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The above examples will effectively turn your app into a single concurrent service.
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@ -263,9 +263,9 @@ The following steps run the Sentry service locally with mTLS enabled, set up nec
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{{% codetab %}}
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```powershell
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$env:DAPR_TRUST_ANCHORS=$(Get-Content $env:USERPROFILE\.dapr\certs\ca.crt)
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$env:DAPR_CERT_CHAIN=$(Get-Content $env:USERPROFILE\.dapr\certs\issuer.crt)
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$env:DAPR_CERT_KEY=$(Get-Content $env:USERPROFILE\.dapr\certs\issuer.key)
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$env:DAPR_TRUST_ANCHORS=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\ca.crt)
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$env:DAPR_CERT_CHAIN=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.crt)
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$env:DAPR_CERT_KEY=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.key)
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$env:NAMESPACE="default"
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```
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{{% codetab %}}
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```powershell
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$env:DAPR_TRUST_ANCHORS=$(Get-Content $env:USERPROFILE\.dapr\certs\ca.crt)
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$env:DAPR_CERT_CHAIN=$(Get-Content $env:USERPROFILE\.dapr\certs\issuer.crt)
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$env:DAPR_CERT_KEY=$(Get-Content $env:USERPROFILE\.dapr\certs\issuer.key)
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$env:DAPR_TRUST_ANCHORS=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\ca.crt)
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$env:DAPR_CERT_CHAIN=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.crt)
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$env:DAPR_CERT_KEY=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.key)
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$env:NAMESPACE="default"
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```
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{{% /codetab %}}
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containers:
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- name: python
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image: dapriosamples/hello-k8s-python:edge
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```
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```
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@ -122,7 +122,7 @@ The latest Dapr helm chart no longer supports Helm v2. Please migrate from Helm
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```bash
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helm upgrade --install dapr dapr/dapr \
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--version=1.2 \
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--version=1.3 \
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--namespace dapr-system \
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--create-namespace \
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--wait
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```bash
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helm upgrade --install dapr dapr/dapr \
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--version=1.2 \
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--version=1.3 \
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--namespace dapr-system \
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--create-namespace \
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--set global.ha.enabled=true \
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enabled: true
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```
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In addition to the Dapr configuration, you will also need to provide the TLS certificates to each Dapr sidecar instance. You can do so by setting the following environment variables before running the Dapr instance:
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{{< tabs "Linux/MacOS" Windows >}}
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{{% codetab %}}
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```bash
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export DAPR_TRUST_ANCHORS=`cat $HOME/.dapr/certs/ca.crt`
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export DAPR_CERT_CHAIN=`cat $HOME/.dapr/certs/issuer.crt`
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export DAPR_CERT_KEY=`cat $HOME/.dapr/certs/issuer.key`
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export NAMESPACE=default
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```
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{{% /codetab %}}
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{{% codetab %}}
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```powershell
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$env:DAPR_TRUST_ANCHORS=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\ca.crt)
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$env:DAPR_CERT_CHAIN=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.crt)
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$env:DAPR_CERT_KEY=$(Get-Content -raw $env:USERPROFILE\.dapr\certs\issuer.key)
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$env:NAMESPACE="default"
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```
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{{% /codetab %}}
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{{< /tabs >}}
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If using the Dapr CLI, point Dapr to the config file above to run the Dapr instance with mTLS enabled:
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```
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