Determine qual implantação do operador do AlloyDB Omni analisar. O operador
do AlloyDB Omni inclui duas implantações, e você pode analisar
o heap de memória de qualquer uma delas. Para identificar as duas implantações, execute o
comando a seguir:
kubectlgetdeployment-nalloydb-omni-system
A saída mostra as duas implantações no namespace alloydb-omni-system:
fleet-controller-manager
local-controller-manager
É possível acessar o heap de memória de qualquer uma das implantações. Para fins de demonstração, estas etapas mostram como extrair o heap de memória da implantação local-controller-manager.
Ative a análise de memória especificando uma porta disponível para uso. Depois que a porta for especificada, o pod será reiniciado. Para especificar uma porta disponível, use o
argumento pprof-address na implantação:
Abra a implantação em um editor de texto executando o seguinte comando:
Salve o arquivo de implantação. Depois de salvar o arquivo de implantação, o pod
será reiniciado.
Aguarde a reinicialização do pod antes de continuar para a próxima etapa.
Para garantir que o pod foi reiniciado, execute o seguinte comando:
kubectlgetpod-nalloydb-omni-system
Confira se o valor de saída na coluna STATUS do pod é Running e se o valor de saída na coluna AGE é de curta duração. Por exemplo, se a coluna
STATUS for Running e o valor na coluna AGE for 50s, então
o pod estará em execução há 50 segundos após a reinicialização.
Ative o encaminhamento de portas usando o seguinte comando:
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[[["\u003cp\u003eThis document outlines the steps to capture a memory heap snapshot of the AlloyDB Omni operator for diagnosing memory-related issues.\u003c/p\u003e\n"],["\u003cp\u003eThe process involves identifying one of two AlloyDB Omni operator deployments (\u003ccode\u003efleet-controller-manager\u003c/code\u003e or \u003ccode\u003elocal-controller-manager\u003c/code\u003e) to analyze.\u003c/p\u003e\n"],["\u003cp\u003eMemory analysis is enabled by adding the \u003ccode\u003e--pprof-address\u003c/code\u003e argument with an available port to the chosen deployment's configuration, which triggers a pod restart.\u003c/p\u003e\n"],["\u003cp\u003eAfter enabling memory analysis, a memory heap snapshot can be created by using \u003ccode\u003ecurl\u003c/code\u003e command that saves it to a file named \u003ccode\u003eheap.out\u003c/code\u003e, accessible via port forwarding.\u003c/p\u003e\n"],["\u003cp\u003eAfter analysis, it's critical to disable memory analysis by removing the \u003ccode\u003epprof-address\u003c/code\u003e argument from the deployment configuration to prevent potential security risks.\u003c/p\u003e\n"]]],[],null,["# Analyze AlloyDB Omni Kubernetes operator memory heap usage\n\nSelect a documentation version: Current (16.8.0)keyboard_arrow_down\n\n- [Current (16.8.0)](/alloydb/omni/current/docs/analyze-memory-heap-usage)\n- [16.8.0](/alloydb/omni/16.8.0/docs/analyze-memory-heap-usage)\n- [16.3.0](/alloydb/omni/16.3.0/docs/analyze-memory-heap-usage)\n- [15.12.0](/alloydb/omni/15.12.0/docs/analyze-memory-heap-usage)\n- [15.7.1](/alloydb/omni/15.7.1/docs/analyze-memory-heap-usage)\n- [15.7.0](/alloydb/omni/15.7.0/docs/analyze-memory-heap-usage)\n\n\u003cbr /\u003e\n\nThis document describes how you can get a snapshot of the memory heap of AlloyDB Omni operator to help diagnose and debug potential memory issues. Use the following steps to get a memory heap for analysis:\n\n\u003cbr /\u003e\n\n1. Determine which AlloyDB Omni operator deployment to analyze. The\n AlloyDB Omni operator includes two deployments, and you can analyze\n the memory heap for either one. To identify the two deployments, run the\n following command:\n\n kubectl get deployment -n alloydb-omni-system\n\n The output shows you the two deployments in the `alloydb-omni-system`\n namespace:\n - `fleet-controller-manager`\n - `local-controller-manager`\n\n You can get the memory heap of either deployment. For demonstration purposes,\n these steps show how to get the memory heap for the\n `local-controller-manager` deployment.\n2. Turn on memory analysis by specifying an available port to use. After the\n port is specified, the pod restarts. To specify an available port, use the\n `pprof-address` argument in the deployment:\n\n 1. Open the deployment in a text editor by running the following command:\n\n kubectl edit -n alloydb-omni-system deploy local-controller-manager\n\n 2. Specify the port in the `args` of the `container` section in the template\n `spec`:\n\n apiVersion: apps/v1\n kind: Deployment\n spec:\n ...\n template:\n ...\n spec:\n containers:\n - args\n - --pprof-address=:\u003cvar translate=\"no\"\u003ePORT\u003c/var\u003e\n\n | **Important:** To prevent malicious use of the feature, turn off memory analysis by removing this port argument when you finish analyzing the memory heap.\n 3. Save the deployment file. After you save the deployment file, the pod\n restarts.\n\n3. Wait for the pod to restart before continuing to the next step.\n\n To make sure the pod restarted, run the following command: \n\n kubectl get pod -n alloydb-omni-system\n\n Verify that the output value in the pod's `STATUS` column is `Running` and the\n output value in its `AGE` column is a short duration. For example, if the\n `STATUS` column is `Running` and the value in the `AGE` column is `50s`, then\n the pod has been running for 50 seconds after the restart.\n4. Turn on port forwarding using the following command:\n\n kubectl port-forward -n alloydb-omni-system \u003cvar translate=\"no\"\u003eDEPLOYMENT_POD_NAME\u003c/var\u003e \u003cvar translate=\"no\"\u003ePORT\u003c/var\u003e:\u003cvar translate=\"no\"\u003ePORT\u003c/var\u003e\n\n Replace \u003cvar translate=\"no\"\u003eDEPLOYMENT_POD_NAME\u003c/var\u003e with the name of your deployment as it\n appears in the `NAME` column of the output of the following command: \n\n kubectl get pod -n alloydb-omni-system\n\n5. In a different terminal, run the following command to create a file with a\n snapshot of the memory heap of the deployment:\n\n curl http://localhost:\u003cvar translate=\"no\"\u003ePORT\u003c/var\u003e/debug/pprof/heap \u003e heap.out\n\n6. Save the `heap.out` file and use it to view the memory heap of the\n AlloyDB Omni operator deployment you chose to analyze.\n\n7. Turn off memory analysis by removing the `pprof-address` argument with the\n port you used from the deployment:\n\n 1. Open the deployment in a text editor:\n\n kubectl edit -n alloydb-omni-system deploy local-controller-manager\n\n 2. Remove the port `--pprof-address=:`\u003cvar translate=\"no\"\u003ePORT\u003c/var\u003e line from the\n `args` of the `container` section in template `spec` that you added\n earlier.\n\nWhat's next\n-----------\n\n- [Manage and monitor AlloyDB Omni](/alloydb/omni/current/docs/run-connect)\n- [Generate and diagnose AlloyDB Omni dump files](/alloydb/omni/current/docs/manage-dump-files)\n- [Learn about automatic memory management](/alloydb/omni/current/docs/automatic-memory-management)"]]