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Query V2 HTTP response

  • Makale

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer

HTTP response status line

If the request succeeds, the HTTP response status code is 200 OK. The HTTP response body is a JSON array, as explained below.

If the request fails, the HTTP response status code is a 4xx or 5xx error. The reason phrase will include additional information about the failure. The HTTP response body is a JSON object, as explained below.

Note

The request may return a status code of 200 OK, but the HTTP response body will indicate an error. This may happen when the error gets raised after the HTTP status line is already returned. The reader is expected to explicitly check for such a condition.

HTTP response headers

Irrespective of the success/failure of the request, two custom HTTP headers are included with the response:

  1. x-ms-client-request-id: The service returns an opaque string that identifies the request/response pair for correlation purposes. If the request included a client request ID, its value will appear here; otherwise, some random string is returned.

  2. x-ms-activity-id: The service returns an opaque string that uniquely identifies the request/response pair for correlation purposes. Unlike x-ms-client-request-id, this identifier is not affected by any information in the request, and is unique per response.

HTTP response body (on request failure)

On request failure, the HTTP response body will be a JSON document formatted according to OneApiErrors rules. For a description of the OneApiErrors format, see section 7.10.2 here. Below is an example for such a failure.

{
    "error": {
        "code": "General_BadRequest",
        "message": "Request is invalid and cannot be executed.",
        "@type": "Kusto.Data.Exceptions.KustoBadRequestException",
        "@message": "Request is invalid and cannot be processed: Semantic error: SEM0100: 'table' operator: Failed to resolve table expression named 'aaa'",
        "@context": {
            "timestamp": "2023-04-18T12:59:27.4855445Z",
            "serviceAlias": "HELP",
            "machineName": "KEngine000000",
            "processName": "Kusto.WinSvc.Svc",
            "processId": 12580,
            "threadId": 10260,
            "clientRequestId": "Kusto.Cli;b90f4260-4eac-4574-a27a-3f302db21404",
            "activityId": "9dcc4522-7b51-41db-a7ae-7c1bfe0696b2",
            "subActivityId": "d0f30c8c-e6c6-45b6-9275-73dd6b379ecf",
            "activityType": "DN.FE.ExecuteQuery",
            "parentActivityId": "6e3c8dab-0aaf-4df5-85b5-fc20b0b29a84",
            "activityStack": "(Activity stack: CRID=Kusto.Cli;b90f4260-4eac-4574-a27a-3f302db21404 ARID=9dcc4522-7b51-41db-a7ae-7c1bfe0696b2 > KD.Query.Client.ExecuteQueryAsKustoDataStream/8191428e-7139-4c5d-9da7-839a0f21c5b9 > P.WCF.Service.ExecuteQueryAsKustoDataStream..IInterNodeCommunicationQueryContract/6e3c8dab-0aaf-4df5-85b5-fc20b0b29a84 > DN.FE.ExecuteQuery/d0f30c8c-e6c6-45b6-9275-73dd6b379ecf)"
        },
        "@permanent": true,
        "@text": "aaa",
        "@database": "Samples",
        "@ClientRequestLogger": "",
        "innererror": {
            "code": "SEM0100",
            "message": "'table' operator: Failed to resolve table expression named 'aaa'",
            "@type": "Kusto.Data.Exceptions.SemanticException",
            "@message": "Semantic error: SEM0100: 'table' operator: Failed to resolve table expression named 'aaa'",
            "@context": {
                "timestamp": "2023-04-18T12:59:27.4855445Z",
                "serviceAlias": "HELP",
                "machineName": "KEngine000000",
                "processName": "Kusto.WinSvc.Svc",
                "processId": 12580,
                "threadId": 10260,
                "clientRequestId": "Kusto.Cli;b90f4260-4eac-4574-a27a-3f302db21404",
                "activityId": "9dcc4522-7b51-41db-a7ae-7c1bfe0696b2",
                "subActivityId": "d0f30c8c-e6c6-45b6-9275-73dd6b379ecf",
                "activityType": "DN.FE.ExecuteQuery",
                "parentActivityId": "6e3c8dab-0aaf-4df5-85b5-fc20b0b29a84",
                "activityStack": "(Activity stack: CRID=Kusto.Cli;b90f4260-4eac-4574-a27a-3f302db21404 ARID=9dcc4522-7b51-41db-a7ae-7c1bfe0696b2 > KD.Query.Client.ExecuteQueryAsKustoDataStream/8191428e-7139-4c5d-9da7-839a0f21c5b9 > P.WCF.Service.ExecuteQueryAsKustoDataStream..IInterNodeCommunicationQueryContract/6e3c8dab-0aaf-4df5-85b5-fc20b0b29a84 > DN.FE.ExecuteQuery/d0f30c8c-e6c6-45b6-9275-73dd6b379ecf)"
            },
            "@permanent": true,
            "@errorCode": "SEM0100",
            "@errorMessage": "'table' operator: Failed to resolve table expression named 'aaa'"
        }
    }
}

HTTP response body (on request success)

On request success, the HTTP response body will be a JSON array that encodes the request results.

Logically, the V2 response describes a DataSet object which contains any number of Tables. These tables can represent the actual data asked-for by the request, or additional information about the execution of the request (such as an accounting of the resources consumed by the request). Additionally, the actual request might actually fail (due to various conditions) even though a 200 OK status gets returned, and in that case the response will include partial response data plus an indication of the errors.

Physically, the response body's JSON array is a list of JSON objects, each of which is called a frame. The DataSet object is encoded into two frames: DataSetHeader and DataSetCompletion. The first is always the first frame, and the second is always the last frame. In "between" them one can find the frames describing the Table objects.

The Table objects can be encoded in two ways:

  1. As a single frame: DataTable. This is the default.

  2. Alternatively, as a "mix" of four kinds of frames: TableHeader (which comes first and describes the table), TableFragment (which describes a table's data), TableProgress (which is optional and provides an estimation into how far in the table's data we are), and TableCompletion (which is the last frame of the table).

The second case is called "progressive mode", and will only appear if the client request property results_progressive_enabled is set to true. In this case, each TableFragment frame describes an update to the data accumulated by all previous such frames for the table, either as an append operation, or as a replace operation. (The latter is used, for example, when some long-running aggregation calculation is performed at the "top level" of the query, so an initial aggregation result is replaced by more accurate results later-on.)

DataSetHeader

The DataSetHeader frame is always the first in the dataset and appears exactly once.

{
    "Version": string,
    "IsProgressive": Boolean
}

Where:

  • Version is the protocol version. The current version is v2.0.

  • IsProgressive is a boolean flag that indicates whether this dataset contains progressive frames. A progressive frame is one of:

    Frame Description
    TableHeader Contains general information about the table
    TableFragment Contains a rectangular data shard of the table
    TableProgress Contains the progress in percent (0-100)
    TableCompletion Indicates that this frame is the last one

    The frames above describe a table. If the IsProgressive flag isn't set to true, then every table in the set will be serialized using a single frame:

  • DataTable: Contains all the information that the client needs about a single table in the dataset.

TableHeader

Queries that are made with the results_progressive_enabled option set to true may include this frame. Following this table, clients can expect an interleaving sequence of TableFragment and TableProgress frames. The final frame of the table is TableCompletion.

{
    "TableId": Number,
    "TableKind": string,
    "TableName": string,
    "Columns": Array,
}

Where:

  • TableId is the table's unique ID.

  • TableKind is one of:

    • PrimaryResult
    • QueryCompletionInformation
    • QueryTraceLog
    • QueryPerfLog
    • TableOfContents
    • QueryProperties
    • QueryPlan
    • Unknown

  • TableName is the table's name.

  • Columns is an array describing the table's schema.

{
    "ColumnName": string,
    "ColumnType": string,
}

Supported column types are described here.

TableFragment

The TableFragment frame contains a rectangular data fragment of the table. In addition to the actual data, this frame also contains a TableFragmentType property that tells the client what to do with the fragment. The fragment appended to existing fragments, or replace them.

{
    "TableId": Number,
    "FieldCount": Number,
    "TableFragmentType": string,
    "Rows": Array
}

Where:

  • TableId is the table's unique ID.

  • FieldCount is the number of columns in the table.

  • TableFragmentType describes what the client should do with this fragment. TableFragmentType is one of:

    • DataAppend
    • DataReplace

  • Rows is a two-dimensional array that contains the fragment data.

TableProgress

The TableProgress frame can interleave with the TableFragment frame described above. Its sole purpose is to notify the client of the query's progress.

{
    "TableId": Number,
    "TableProgress": Number,
}

Where:

  • TableId is the table's unique ID.
  • TableProgress is the progress in percent (0--100).

TableCompletion

The TableCompletion frame marks the end of the table transmission. No more frames related to that table will be sent.

{
    "TableId": Number,
    "RowCount": Number,
}

Where:

  • TableId is the table's unique ID.
  • RowCount is the total number of rows in the table.

DataTable

Queries that are issued with the EnableProgressiveQuery flag set to false won't include any of the frames (TableHeader, TableFragment, TableProgress, and TableCompletion). Instead, each table in the dataset will be transmitted using the DataTable frame that contains all the information that the client needs, to read the table.

{
    "TableId": Number,
    "TableKind": string,
    "TableName": string,
    "Columns": Array,
    "Rows": Array,
}

Where:

  • TableId is the table's unique ID.

  • TableKind is one of:

    • PrimaryResult
    • QueryCompletionInformation
    • QueryTraceLog
    • QueryPerfLog
    • QueryProperties
    • QueryPlan
    • Unknown

  • TableName is the table's name.

  • Columns is an array describing the table's schema, and includes:

{
    "ColumnName": string,
    "ColumnType": string,
}
  • Rows is a two-dimensional array that contains the table's data.

The meaning of tables in the response

  • PrimaryResult - The main tabular result of the query. For each tabular expression statement, one or more tables are generated in-order, representing the results produced by the statement. There can be multiple such tables because of batches and fork operators.
  • QueryCompletionInformation - Provides additional information about the execution of the query itself, such as whether it completed successfully or not, and what were the resources consumed by the query (similar to the QueryStatus table in the v1 response).
  • QueryProperties - Provides additional values such as client visualization instructions (emitted, for example, to reflect the information in the render operator) and database cursor information.
  • QueryTraceLog - The performance trace log information (returned when perftrace in client request properties is set to true).

DataSetCompletion

The DataSetCompletion frame is the final one in the dataset.

{
    "HasErrors": Boolean,
    "Cancelled": Boolean,
    "OneApiErrors": Array,
}

Where:

  • HasErrors is true if there were errors while generating the dataset.
  • Cancelled is true if the request that led to the generation of the dataset was canceled before completion.
  • OneApiErrors is only returned if HasErrors is true. For a description of the OneApiErrors format, see section 7.10.2 here.