編集

次の方法で共有

Create an app to get data using queued ingestion

  • [アーティクル]

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer

Kusto is capable of handling mass data intake by optimizing and batching ingested data via its batching manager. The batching manager aggregates ingested data before it reaches its target table, allowing for more efficient processing and improved performance. Batching is typically done in bulks of 1 GB of raw data, 1000 individual files, or by a default time out of 5 minutes. Batching policies can be updated at the database and table levels, commonly to lower the batching time and reduce latency. For more information about ingestion batching, see IngestionBatching policy and Change table level ingestion batching policy programmatically.

Note

Batching also takes into account various factors such as the target database and table, the user running the ingestion, and various properties associated with the ingestion, such as special tags.

In this article, you learn how to:

Prerequisites

Before you begin

  • Use one of the following methods to create the MyStormEvents table and, as only a small amount of data is being ingested, set its ingestion batching policy timeout to 10 seconds:

    1. Create a target table named MyStormEvents in your database by running the first app in management commands.
    2. Set the ingestion batching policy timeout to 10 seconds by running the second app in management commands. Before running the app, change the timeout value to 00:00:10.

    Note

    It may take a few minutes for the new batching policy settings to propagate to the batching manager.

  • Download the stormevent.csv sample data file. The file contains 1,000 storm event records.

Note

The following examples assume a trivial match between the columns of the ingested data and the schema of the target table. If the ingested data doesn't trivially match the table schema, you must use an ingestion mapping to align the columns of the data with the table schema.

Queue a file for ingestion and query the results

In your preferred IDE or text editor, create a project or file named basic ingestion using the convention appropriate for your preferred language. Place the stormevent.csv file in the same location as your app.

Note

In the following examples you use two clients, one to query your cluster and the other to ingest data into your cluster. For languages where the client library supports it, both clients share the same user prompt authenticator, resulting in a single user prompt instead of one for each client.

Add the following code:

  1. Create a client app that connects to your cluster and prints the number of rows in the MyStormEvents table. You'll use this count as a baseline for comparison with the number of rows after each method of ingestion. Replace the <your_cluster_uri> and <your_database> placeholders with your cluster URI and database name respectively.

    using Kusto.Data;
using Kusto.Data.Net.Client;

namespace BatchIngest {
  class BatchIngest {
    static void Main(string[] args) {
      string clusterUri = "<your_cluster_uri>";
      var clusterKcsb = new KustoConnectionStringBuilder(clusterUri)
        .WithAadUserPromptAuthentication();

      using (var kustoClient = KustoClientFactory.CreateCslQueryProvider(clusterKcsb)) {
        string database = "<your_database>";
        string table = "MyStormEvents";

        string query = table + " | count";
        using (var response = kustoClient.ExecuteQuery(database, query, null)) {
          Console.WriteLine("\nNumber of rows in " + table + " BEFORE ingestion:");
          PrintResultsAsValueList(response);
        }
      }
    }

    static void PrintResultsAsValueList(IDataReader response) {
      string value;
      while (response.Read()) {
        for (int i = 0; i < response.FieldCount; i++) {
          value = "";
          if (response.GetDataTypeName(i) == "Int32")
              value = response.GetInt32(i).ToString();
          else if (response.GetDataTypeName(i) == "Int64")
            value = response.GetInt64(i).ToString();
          else if (response.GetDataTypeName(i) == "DateTime")
            value = response.GetDateTime(i).ToString();
          else if (response.GetDataTypeName(i) == "Object")
            value = response.GetValue(i).ToString() ?? "{}";
          else
            value = response.GetString(i);

          Console.WriteLine("\t{0} - {1}", response.GetName(i), value ?? "None");
      }
    }
  }
}

  2. Create a connection string builder object that defines the data ingestion URI, where possible, using the sharing the same authentication credentials as the cluster URI. Replace the <your_ingestion_uri> placeholder with data ingestion URI.

    using Kusto.Data.Common;
using Kusto.Ingest;
using System.Data;

string ingestUri = "<your_ingestion_uri>";
var ingestKcsb = new KustoConnectionStringBuilder(ingestUri)
  .WithAadUserPromptAuthentication();

  3. Ingest the stormevent.csv file by adding it to the batch queue. You use the following objects and properties:

    • QueuedIngestClient to create the ingest client.
    • IngestionProperties to set the ingestion properties.
    • DataFormat to specify the file format as CSV.
    • ignore_first_record to specify whether the first row in CSV and similar file types is ignored, using the following logic:
      • True: The first row is ignored. Use this option to drop the header row from tabular textual data.
      • False: The first row is ingested as a regular row.

    Note

    Ingestion supports a maximum file size of 6 GB. The recommendation is to ingest files between 100 MB and 1 GB.

    using (var ingestClient = KustoIngestFactory.CreateQueuedIngestClient(ingestKcsb)) {
  string filePath = Path.Combine(Directory.GetCurrentDirectory(), "stormevents.csv");

  Console.WriteLine("\nIngesting data from file: \n\t " + filePath);
  var ingestProps = new KustoIngestionProperties(database, table) {
    Format = DataSourceFormat.csv,
    AdditionalProperties = new Dictionary<string, string>() {{ "ignoreFirstRecord", "True" }}
  };
  _= ingestClient.IngestFromStorageAsync(filePath, ingestProps).Result;
}

  4. Query the number of rows in the table after ingesting the file, and show the last row ingested.

    Note

    To allow time for the ingestion to complete, wait 30 seconds before querying the table. For C# wait 60 seconds to allow time for adding the file to the ingestion queue asynchronously.

    Console.WriteLine("\nWaiting 60 seconds for ingestion to complete ...");
Thread.Sleep(TimeSpan.FromSeconds(60));

using (var response = kustoClient.ExecuteQuery(database, query, null)) {
  Console.WriteLine("\nNumber of rows in " + table + " AFTER ingesting the file:");
  PrintResultsAsValueList(response);
}

query = table + " | top 1 by ingestion_time()";
using (var response = kustoClient.ExecuteQuery(database, query, null)) {
  Console.WriteLine("\nLast ingested row:");
  PrintResultsAsValueList(response);
}

The complete code should look like this:

using Kusto.Data;
using Kusto.Data.Net.Client;
using Kusto.Data.Common;
using Kusto.Ingest;
using System.Data;

namespace BatchIngest {
  class BatchIngest {
    static void Main(string[] args) {
      string clusterUri = "<your_cluster_uri>";
      var clusterKcsb = new KustoConnectionStringBuilder(clusterUri)
        .WithAadUserPromptAuthentication();
      string ingestUri = "<your_ingestion_uri>";
      var ingestKcsb = new KustoConnectionStringBuilder(ingestUri)
        .WithAadUserPromptAuthentication();


      using (var kustoClient = KustoClientFactory.CreateCslQueryProvider(clusterKcsb))
      using (var ingestClient = KustoIngestFactory.CreateQueuedIngestClient(ingestKcsb)) {
        string database = "<your_database>";
        string table = "MyStormEvents";
        string filePath = Path.Combine(Directory.GetCurrentDirectory(), "stormevents.csv");

        string query = table + " | count";
        using (var response = kustoClient.ExecuteQuery(database, query, null)) {
          Console.WriteLine("\nNumber of rows in " + table + " BEFORE ingestion:");
          PrintResultsAsValueList(response);
        }

        Console.WriteLine("\nIngesting data from file: \n\t " + filePath);
        var ingestProps = new KustoIngestionProperties(database, table) {
          Format = DataSourceFormat.csv,
          AdditionalProperties = new Dictionary<string, string>() {{ "ignoreFirstRecord", "True" }}
        };
        _= ingestClient.IngestFromStorageAsync(filePath, ingestProps).Result;

        Console.WriteLine("\nWaiting 60 seconds for ingestion to complete ...");
        Thread.Sleep(TimeSpan.FromSeconds(60));

        using (var response = kustoClient.ExecuteQuery(database, query, null)) {
          Console.WriteLine("\nNumber of rows in " + table + " AFTER ingesting the file:");
          PrintResultsAsValueList(response);
        }

        query = table + " | top 1 by ingestion_time()";
        using (var response = kustoClient.ExecuteQuery(database, query, null))
        {
          Console.WriteLine("\nLast ingested row:");
          PrintResultsAsValueList(response);
        }
      }
    }

    static void PrintResultsAsValueList(IDataReader response) {
      while (response.Read()) {
        for (int i = 0; i < response.FieldCount; i++) {
          if (response.GetDataTypeName(i) == "Int64")
            Console.WriteLine("\t{0} - {1}", response.GetName(i), response.IsDBNull(i) ? "None" : response.GetInt64(i));
          else
            Console.WriteLine("\t{0} - {1}", response.GetName(i), response.IsDBNull(i) ? "None" : response.GetString(i));
        }
      }
    }
  }
}

Run your app

In a command shell, use the following command to run your app:

# Change directory to the folder that contains the management commands project
dotnet run .

You should see a result similar to the following:

Number of rows in MyStormEvents BEFORE ingestion:
         Count - 0

Ingesting data from file: 
        C:\MyApp\stormevents.csv

Waiting 30 seconds for ingestion to complete

Number of rows in MyStormEvents AFTER ingesting the file:
         Count - 1000

Last ingested row:
         StartTime - 2018-01-26 00:00:00+00:00
         EndTime - 2018-01-27 14:00:00+00:00
         State - MEXICO
         DamageProperty - 0
         DamageCrops - 0
         Source - Unknown
         StormSummary - {}

Queue in-memory data for ingestion and query the results

You can ingest data from memory by creating a stream containing the data, and then queuing it for ingestion.

For example, you can modify the app replacing the ingest from file code, as follows:

  1. Add the stream descriptor package to the imports at the top of the file.

    No additional packages are required.

  2. Add an in-memory string with the data to ingest.

    string singleLine = "2018-01-26 00:00:00.0000000,2018-01-27 14:00:00.0000000,MEXICO,0,0,Unknown,\"{}\"";
var stringStream = new MemoryStream(System.Text.Encoding.UTF8.GetBytes(singleLine));

  3. Set the ingestion properties to not ignore the first record as the in-memory string doesn't have a header row.

    ingestProps.AdditionalProperties = new Dictionary<string, string>() {{ "ignoreFirstRecord", "False" }};

  4. Ingest the in-memory data by adding it to the batch queue. Where possible, provide the size of the raw data.

    _= ingestClient.IngestFromStreamAsync(stringStream, ingestProps, new StreamSourceOptions {Size = stringStream.Length}).Result;

An outline of the updated code should look like this:

using Kusto.Data;
using Kusto.Data.Net.Client;
using Kusto.Data.Common;
using Kusto.Ingest;
using System.Data;

namespace BatchIngest {
  class BatchIngest {
    static void Main(string[] args) {
      ...
      string singleLine = "2018-01-26 00:00:00.0000000,2018-01-27 14:00:00.0000000,MEXICO,0,0,Unknown,\"{}\"";
      var stringStream = new MemoryStream(System.Text.Encoding.UTF8.GetBytes(singleLine));

      using (var kustoClient = KustoClientFactory.CreateCslQueryProvider(clusterKcsb))
      using (var ingestClient = KustoIngestFactory.CreateQueuedIngestClient(ingestKcsb)) {
        string database = "<your_database>";
        string table = "MyStormEvents";

        ...

        Console.WriteLine("\nIngesting data from memory:");
        ingestProps.AdditionalProperties = new Dictionary<string, string>() {{ "ignoreFirstRecord", "False" }};
        _= ingestClient.IngestFromStreamAsync(stringStream, ingestProps, new StreamSourceOptions {Size = stringStream.Length}).Result;

        ...
      }
    }

    static void PrintResultsAsValueList(IDataReader response) {
      ...
    }
  }
}

When you run the app, you should see a result similar to the following. Notice that after the ingestion, the number of rows in the table increased by one.

Number of rows in MyStormEvents BEFORE ingestion:
         Count - 1000

Ingesting data from memory:

Waiting 30 seconds for ingestion to complete ...

Number of rows in MyStormEvents AFTER ingesting from memory:
         Count - 1001

Last ingested row:
         StartTime - 2018-01-26 00:00:00+00:00
         EndTime - 2018-01-27 14:00:00+00:00
         State - MEXICO
         DamageProperty - 0
         DamageCrops - 0
         Source - Unknown
         StormSummary - {}

Queue a blob for ingestion and query the results

You can ingest data from Azure Storage blobs, Azure Data Lake files, and Amazon S3 files.

For example, you can modify the app replacing the ingest from memory code with the following:

  1. Start by uploading the stormevent.csv file to your storage account and generate a URI with read permissions, for example, using a SAS token for Azure blobs.

  2. Add the blob descriptor package to the imports at the top of the file.

    No additional packages are required.

  3. Create a blob descriptor using the blob URI, set the ingestion properties, and then ingest data from the blob. Replace the <your_blob_uri> placeholder with the blob URI.

    string blobUri = "<your_blob_uri>";

ingestProps.AdditionalProperties = new Dictionary<string, string>() { { "ignoreFirstRecord", "True" } };
_= ingestClient.IngestFromStorageAsync(blobUri, ingestProps).Result;

An outline of the updated code should look like this:

using Kusto.Data;
using Kusto.Data.Net.Client;
using Kusto.Data.Common;
using Kusto.Ingest;
using System.Data;

namespace BatchIngest {
  class BatchIngest {
    static void Main(string[] args) {
      ...
      string blobUri = "<your_blob_uri>";


      using (var kustoClient = KustoClientFactory.CreateCslQueryProvider(clusterKcsb))
      using (var ingestClient = KustoIngestFactory.CreateQueuedIngestClient(ingestKcsb)) {
        string database = "<your_database>";
        string table = "MyStormEvents";

        ...

        Console.WriteLine("\nIngesting data from memory:");
        ingestProps.AdditionalProperties = new Dictionary<string, string>() { { "ignoreFirstRecord", "True" } };
        _=_ ingestClient.IngestFromStorageAsync(blobUri, ingestProps).Result;

        ...
      }
    }

    static void PrintResultsAsValueList(IDataReader response) {
      ...
    }
  }
}

When you run the app, you should see a result similar to the following. Notice that after the ingestion, the number of rows in the table increased by 1,000.

Number of rows in MyStormEvents BEFORE ingestion:
         Count - 1001

Ingesting data from a blob:

Waiting 30 seconds for ingestion to complete ...

Number of rows in MyStormEvents AFTER ingesting from a blob:
         Count - 2001

Last ingested row:
         StartTime - 2018-01-26 00:00:00+00:00
         EndTime - 2018-01-27 14:00:00+00:00
         State - MEXICO
         DamageProperty - 0
         DamageCrops - 0
         Source - Unknown
         StormSummary - {}

Next step

KQL quick reference