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Simple Log Service:Enable Dedicated SQL

Last Updated:Jan 17, 2024

Dedicated SQL is a paid feature that is provided by Simple Log Service. You can use the Dedicated SQL feature to analyze log data by using SQL statements. Compared with the Standard SQL feature, which you can use for free, the Dedicated SQL feature has no limits on the number of concurrent operations or the amount of data to be analyzed.

Prerequisites

Background information

If you use the Standard SQL feature to analyze a large amount of log data that is generated over a period of time, Simple Log Service cannot scan all log data in a single query. To ensure timeliness, Simple Log Service limits the amount of data that is scanned in each shard and returns some inaccurate results. In this case, we recommend that you increase the number of shards to increase the computing resources. However, after you increase the number of shards, only new data that is written to the shards can be read for scanning. Historical data cannot be read for scanning. The number of consumers also increases.

To resolve this issue, Simple Log Service provides the Dedicated SQL feature. The Dedicated SQL feature can efficiently analyze log data and is not subject to the resource limits that compromise the performance of the Standard SQL feature. For more information, see Limits.

Note

The Dedicated SQL feature and the Standard SQL feature are both available. You can choose between the features based on your business requirements.

Advantages

You can use the Dedicated SQL feature to analyze log data by using SQL statements. The Dedicated SQL feature has the following advantages over the Standard SQL feature:

  • The Dedicated SQL feature can analyze hundreds of billions of data records with high performance.

  • The Dedicated SQL feature allows up to 100 concurrent operations in each project. The Standard SQL feature allows only 15 concurrent operations.

  • The Dedicated SQL feature is allocated exclusive resources. The performance of the Dedicated SQL feature is not affected by traffic bursts from other users.

Scenarios

The Dedicated SQL feature is suitable for the following scenarios:

  • You need to analyze data with high performance. For example, you need to analyze data in real time.

  • You need to analyze data that is generated over a long period of time. For example, you need to analyze data that is generated over a month.

  • You need to analyze a large amount of data. For example, you need to analyze terabytes of data every day.

  • You need to analyze data by using more than 15 concurrent SQL statements and display the analysis results based on multiple metrics from multiple dimensions.

Procedure

Simple Log Service supports the following methods to enable the Dedicated SQL feature:

  • Enable once: When you execute a query statement in a Logstore, click the Dedicated SQL icon. The Dedicated SQL feature takes effect only for the query statements that you execute in the current Logstore.

  • Enable permanently: If you turn on Enable by Default, the Dedicated SQL feature is enabled for the current project and takes effect for all query statements that you execute in the project, including the query statements for alerts and dashboards.

Enable once

  1. Log on to the Simple Log Service console.

  2. In the Projects section, click the project that you want to manage.

  3. On the Log Storage > Logstores tab, click the Logstore that you want to manage.

  4. Click the Dedicated SQL icon.

    After you enable the Dedicated SQL feature, you can use the feature to query and analyze log data by using SQL statements. For more information, see Query and analyze logs.

Enable permanently

  1. Log on to the Simple Log Service console.

  2. In the Projects section, click the project that you want to manage.

  3. Click the Project Overview icon.

  4. Move the pointer over the CUs of SQL-dedicated Instance parameter and click Modify.

    Dedicated SQL

  5. In the Modify CUs of SQL-dedicated Instance panel, turn on Enable by Default and click OK.

SDK examples

FAQ

  • How do I enable the Dedicated SQL feature by calling an API operation?

    You can enable the Dedicated SQL feature by calling the GetLogs operation. When you call this operation, you can use the powerSql or query parameter to specify whether to enable the Dedicated SQL feature. For more information, see GetLogs.

  • How do I obtain the amount of CPU time that I use?

    After you perform analysis and query operations, you can move the pointer over Analysis Results to view the amount of CPU time that you use. The following figure shows an example. Billing

  • Can I control the cost of the Dedicated SQL feature?

    Yes, you can modify the number of compute units (CUs) to control the cost of the Dedicated SQL feature. To modify the number of CUs, go to the Project Overview page of your project and change the value of the CUs of SQL-dedicated Instance parameter.

    Note

    When you use the Dedicated SQL feature, CUs are used in parallel.

    CUs

  • What are the fees for the Dedicated SQL feature when I execute a query statement once?

    The fees for the Dedicated SQL feature vary based on the amount of data on which you execute query statements. The following table provides examples.

    Query statement

    Amount of data (rows)

    Average cost per execution (USD)

    * | select avg(double_0) from stress_s1_mil1

    4 billion

    0.004435

    * | select avg(double_0), sum(double_0), max(double_0), min(double_0), count(double_0) from stress_s1_mil1

    4 billion

    0.006504

    * | select avg(double_0), sum(double_1), max(double_2), min(double_3), count(double_4) from stress_s1_mil1

    4 billion

    0.013600

    * | select key_0 , avg(double_0) as pv from stress_s1_mil1 group by key_0 order by pv desc limit 1000

    4 billion

    0.011826

    * | select long_0, avg(double_0) as pv from stress_s1_mil1 group by long_0 order by pv desc limit 1000

    4 billion

    0.011087

    * | select long_0, long_1, avg(double_0) as pv from stress_s1_mil1 group by long_0,long_1 order by pv desc limit 1000

    0.3 billion

    0.010791

    * | select avg(double_0) from stress_s1_mil1 where key_0='key_987'

    4 billion

    0.00007