Queries the logs of a Logstore in a project.
Operation description
Usage notes
Note Simple Log Service allows you to create a Scheduled SQL job. For more information, see Create a scheduled SQL job.
- Host consists of a project name and a Simple Log Service endpoint. You must specify a project in Host.
- An AccessKey pair is created and obtained. For more information, see AccessKey pair.
The AccessKey pair of an Alibaba Cloud account has permissions on all API operations. Using these credentials to perform operations in Simple Log Service is a high-risk operation. We recommend that you use a Resource Access Management (RAM) user to call API operations or perform routine O&M. To create a RAM user, log on to the RAM console. Make sure that the RAM user has the management permissions on Simple Log Service resources. For more information, see Create a RAM user and authorize the RAM user to access Simple Log Service.
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The information that is required to query logs is obtained. The information includes the name of the project to which the logs belong, the region of the project, and the name of the Logstore to which the logs belong. For more information, see Manage a project and Manage a Logstore.
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Limits are imposed when you use Simple Log Service to query logs. We recommend that you specify query statements and query time ranges based on the limits. For more information, see Log search overview and Log analysis overview.
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Indexes are configured before you query logs. For more information, see Create indexes.
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If the number of logs in a Logstore significantly changes, Simple Log Service cannot predict the number of times that you must call this operation to obtain the complete results. In this case, you must check the value of the x-log-progress parameter in the response of each request and determine whether to call this operation one more time to obtain the complete results. Each time you call this operation, the same number of charge units (CUs) are consumed.
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After a log is written to a Logstore, you can call the GetHistograms or the GetLogs operation to query the log. The latency of the query varies based on the type of the log. Simple Log Service classifies logs into the following types based on log timestamps:
- Real-time data: The difference between the time record in a log of this type and the current time on Simple Log Service is within the interval (-180 seconds,900 seconds]. For example, if a log was generated at 12:03:00, September 25, 2014 (UTC) and Simple Log Service received the log at 12:05:00, September 25, 2014 (UTC), Simple Log Service processes the log as real-time data. This type of log is usually generated in common scenarios.
- Historical data: The difference between the time record in a log of this type and the current time on Simple Log Service is within the interval [-604,800 seconds,-180 seconds). For example, if a log was generated at 12:00:00, September 25, 2014 (UTC) and Simple Log Service received the log at 12:05:00, September 25, 2014 (UTC), Simple Log Service processes the log as historical data. This type of log is usually generated in data backfill scenarios. After real-time data is written to a Logstore, the data can be queried with an approximate latency of 3 seconds.
Note Simple Log Service calculates the difference between the log time that is specified by the __time__ field and the receiving time that is specified by the __tag__:receive_time field for each log. The receiving time indicates when Simple Log Service receives the log. If the difference is within the interval (-180 seconds,900 seconds], Simple Log Service processes the log as real-time data. If the difference is within the interval [-604,800 seconds,-180 seconds), Simple Log Service processes the log as historical data.
- Simple Log Service provides examples on how to call the GetLogs operation by using Simple Log Service SDK for Java and Simple Log Service SDK for Python. For more information, see Examples of calling the GetLogs operation by using Simple Log Service SDK for Java and Examples of calling the GetLogs operation by using Simple Log Service SDK for Python.
Authentication resources
The following table describes the authorization information that is required for this operation. You can add the information to the Action element of a RAM policy statement to grant a RAM user or a RAM role the permissions to call this operation.
Action | Resource |
---|---|
log:GetLogStoreLogs | acs:log:{#regionId}:{#accountId}:project/{#ProjectName}/logstore/{#LogstoreName} |
Debugging
Authorization information
Request syntax
GET /logstores/{logstore}?type=log HTTP/1.1
Request parameters
Parameter | Type | Required | Description | Example |
---|---|---|---|---|
project | string | Yes | The name of the project. | ali-test-project |
logstore | string | Yes | The Logstore whose logs you want to query. | example-logstore |
from | integer | Yes | The beginning of the time range to query. The value is the log time that is specified when log data is written.
Note
To ensure that full data can be queried, specify a query time range that is accurate to the minute. If you also specify a time range in an analytic statement, Simple Log Service uses the time range specified in the analytic statement for query and analysis.
If you want to specify a time range that is accurate to the second in your analytic statement, you must use the from_unixtime or to_unixtime function to convert the time format. For more information about the functions, see from_unixtime function and to_unixtime function. Examples:
| 1627268185 |
to | integer | Yes | The end of the time range to query. The value is the log time that is specified when log data is written.
Note
To ensure that full data can be queried, specify a query time range that is accurate to the minute. If you also specify a time range in an analytic statement, Simple Log Service uses the time range specified in the analytic statement for query and analysis.
If you want to specify a time range that is accurate to the second in your analytic statement, you must use the from_unixtime or to_unixtime function to convert the time format. For more information about the functions, see from_unixtime function and to_unixtime function. Examples:
| 1627269085 |
query | string | No | The search statement or the query statement. For more information, see Log search overview and Log analysis overview. If you add Note
If you specify an analytic statement in the value of the query parameter, the line and offset parameters do not take effect. In this case, we recommend that you set the line and offset parameters to 0 and use the LIMIT clause to limit the number of logs to return on each page. For more information, see Paged query.
| status: 401 | SELECT remote_addr,COUNT(*) as pv GROUP by remote_addr ORDER by pv desc limit 5 |
topic | string | No | The topic of the logs. The default value is an empty string. For more information, see Topic . | topic |
line | long | No | The maximum number of logs to return for the request. This parameter takes effect only when the query parameter is set to a search statement. Minimum value: 0. Maximum value: 100. Default value: 100. For more information, see Perform paged queries. | 100 |
offset | long | No | The line from which the query starts. This parameter takes effect only when the query parameter is set to a search statement. Default value: 0. For more information, see Perform paged queries. | 0 |
reverse | boolean | No | Specifies whether to return logs in reverse chronological order of log timestamps. The log timestamps are accurate to the minute. Valid values:
Note
| false |
powerSql | boolean | No | Specifies whether to enable the Dedicated SQL feature. For more information, see Enable Dedicated SQL. Valid values:
You can use the powerSql or query parameter to configure Dedicated SQL. | false |
Response parameters
Examples
Sample success responses
JSON
format
[
{
"test": "test",
"test2": 1
}
]
Error codes
For a list of error codes, visit the Service error codes.