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Страница: Local Tutorial Scaling the docker host
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Arm Parameters Azure deployment Cloud Deployment On Linux Cloud Simulator Cloud deployment Configuring the Arm template Create new metric Creating your first pipeline in 5 minutes! Data Accelerator with Databricks Data Accelerator Data Accumulator Diagnose issues using Telemetry FAQ Find Applications For Your Environment Home Inviting others and RBAC Live query Local Cloud Debugging Local Tutorial Add an Alert Local Tutorial Adding SQL to your flow and outputs to Metrics dashboard Local Tutorial Advanced Aggregate alerts Local Tutorial Creating your first Flow in local mode Local Tutorial Custom schema Local Tutorial Debugging using Spark logs Local Tutorial Extending with UDF UDAF custom code Local Tutorial Outputs to disk Local Tutorial Reference data Local Tutorial Scaling the docker host Local Tutorial Tag Aggregate to metrics Local Tutorial Tag Rules output to local file Local create metric Local mode with Docker Local running sample Output data to Azure SQL Database Run Data Accelerator Flows on Databricks Scale Schedule batch job Set up aggregate alert Set up new outputs Set up simple alert Spark logs Tagged data flowing to CosmosDB Tagging aggregate rules Tagging simple rules Tutorials Upgrade Existing Data Accelerator Environment to v1.1 Upgrade Existing Data Accelerator Environment to v1.2 Use Input in different tenant Windowing functions functions readme reference data sql query
3 Local Tutorial Scaling the docker host
Dinesh Chandnani редактировал(а) эту страницу 2019-04-15 18:40:57 -07:00
Содержание

For best performance

For best performance, it is recommended to use the following settings for docker:

  • CPU: 6
  • Memory: 5 gigs or more

Also, please run only 1 job at a time in local mode. You can start and stop jobs using the 'Jobs' tab.

Docker Specs

Links

Data Accelerator

Install

Docs