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Copy file name to clipboardExpand all lines: docs/explore/redisinsightv2/getting-started/index-gettingstarted.mdx
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### Step 8. Time series compaction
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RedisTimeSeries supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
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Redis Stack supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
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#### Example:
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### Step 8. Accessing the Workbench
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With the new RedisInsight v2.0, a Workbench has been introduced. Workbench is basically an advanced command-line interface that lets you run commands against your Redis server. Workbench editor allows comments, multi-line formatting and multi-command execution. It is an Intelligent Redis command auto-complete and syntax highlighting with support for RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, RedisGears, RedisAI, RedisBloom. It allows rendering custom data visualization per Redis command using externally developed plugins.
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With the new RedisInsight v2.0, a Workbench has been introduced. Workbench is basically an advanced command-line interface that lets you run commands against your Redis server. Workbench editor allows comments, multi-line formatting and multi-command execution. It is an Intelligent Redis command auto-complete and syntax highlighting with support for Search, JSON, Graph, Time Series, Triggers and Functions, and Probabilistic data structures. It allows rendering custom data visualization per Redis command using externally developed plugins.
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You can locate the workbench on the left sidebar of RedisInsight dashboard UI. It displays a built-in click-through guides for Redis capabilities. You can also see a number of metrics always on display within the database workspace. These metrics get updated every 5 seconds. The metrics include CPU, number of keys, commands/sec, network input, network output, total memory, number of connected clients.
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### Step 7. Accessing the Workbench
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With the new RedisInsight v2.0, a Workbench has been introduced. Workbench is basically an advanced command-line interface that lets you run commands against your Redis server. Workbench editor allows comments, multi-line formatting and multi-command execution. It is an Intelligent Redis command auto-complete and syntax highlighting with support for RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, RedisGears, RedisAI, RedisBloom. It allows rendering custom data visualization per Redis command using externally developed plugins
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With the new RedisInsight v2.0, a Workbench has been introduced. Workbench is basically an advanced command-line interface that lets you run commands against your Redis server. Workbench editor allows comments, multi-line formatting and multi-command execution. It is an Intelligent Redis command auto-complete and syntax highlighting with support for Search, JSON, Graph, Time Series, Triggers and Functions, and Probabilistic data structures. It allows rendering custom data visualization per Redis command using externally developed plugins.
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You can locate the workbench on the left sidebar of RedisInsight dashboard UI. It displays a built-in click-through guides for Redis capabilities. You can also see a number of metrics always on display within the database workspace. These metrics get updated every 5 seconds. The metrics include CPU, number of keys, commands/sec, network input, network output, total memory, number of connected clients.
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