Manage streams

Overview

In this section, you learn how to use the Datastream API to:

  • Create streams
  • Get information about streams and stream objects
  • Update streams by starting, pausing, resuming, and modifying them, as well as by initiating and stopping backfill for stream objects
  • Recover permanently failed streams
  • Enable streaming of large objects for Oracle streams
  • Delete streams

There are two ways that you can use the Datastream API. You can make REST API calls or you can use the Google Cloud CLI (CLI).

For high-level information about using gcloud to manage Datastream streams, see gcloud Datastream streams.

Create a stream

In this section, you learn how to create a stream that's used to transfer data from your source to a destination. The examples that follow aren't comprehensive, but rather highlight specific features of Datastream. To address your specific use case, use these examples together with the Datastream API reference documentation.

This section covers the following use cases:

Example 1: Stream specific objects to BigQuery

In this example, you learn how to:

  • Stream from MySQL to BigQuery
  • Include a set of objects in the stream
  • Backfill all objects included in the stream

The following is a request to pull all tables from schema1 and two specific tables from schema2: tableA and tableC. The events are written to a dataset in BigQuery.

The request doesn't include the customerManagedEncryptionKey parameter, therefore the Google Cloud internal key management system is used to encrypt your data instead of CMEK.

The backfillAll parameter associated with performing the historical backfill (or snapshot) is set to an empty dictionary ({}), which means that Datastream backfills the historical data from all tables included in the stream.

REST

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/us-central1/streams?streamId=mysqlCdcStream
{
  "displayName": "MySQL CDC to BigQuery",
  "sourceConfig": {
    "sourceConnectionProfileName": "/projects/myProjectId1/locations/us-central1/streams/mysqlCp",
    "mysqlSourceConfig": {
      "includeObjects": {
        "mysqlDatabases": [
          { "database": "schema1" },
          {
            "database": "schema2",
            "mysqlTables": [
              {
                "table": "tableA",
                "table": "tableC"
              }
            ]
          }
        ]
      },
    }
  },
  "destinationConfig": {
    "destinationConnectionProfileName": "BigQueryCp",
    "bigqueryDestinationConfig": {
      "dataFreshness": "900s",
      "sourceHierarchyDatasets": {
        "datasetTemplate": {
          "location": "us",
          "datasetIdPrefix": "prefix_"
        }
      }
    }
  },
  "backfillAll": {}
}

gcloud

For more information about using gcloud to create a stream, see Google Cloud SDK documentation.

Example 2: Exclude specific objects from a stream with a PostgreSQL source

In this example, you learn how to:

  • Stream from PostgreSQL to BigQuery
  • Exclude objects from the stream
  • Exclude objects from the backfill

The following code shows a request to create a stream that's used to transfer data from a source PostgreSQL database to BigQuery. When creating a stream from a source PostgreSQL database, you need to specify two additional, PostgreSQL-specific fields in your request:

  • replicationSlot: a replication slot is a prerequisite for configuring a PostgreSQL database for replication. You need to create a replication slot for each stream.
  • publication: a publication is a group of tables that you want to replicate changes from. The publication name must exist in the database before starting a stream. At a minimum, the publication has to include the tables specified in the stream's includeObjects list.

The backfillAll parameter associated with performing the historical backfill (or snapshot) is set to exclude one table.

REST

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams?streamId=myPostgresStream
{
  "displayName": "PostgreSQL to BigQueryCloud Storage",
  "sourceConfig": {
    "sourceConnectionProfileName": "/projects/myProjectId1/locations/us-central1/connectionProfiles/postgresCp",
    "postgresqlSourceConfig": {
      "replicationSlot": "replicationSlot1",
      "publication": "publicationA",
      "includeObjects": {
        "postgresqlSchemas": {
          "schema": "schema1"
        }
      },
      "excludeObjects": {
        "postgresqlSchemas": [
          { "schema": "schema1",
        "postgresqlTables": [
          {
            "table": "tableA",
            "postgresqlColumns": [
              { "column": "column5" }
              ]
              }
            ]
          }
        ]
      }
    }
  },
  "destinationConfig": {
    "destinationConnectionProfileName": "BigQueryCp",
    "bigqueryDestinationConfig": {
      "dataFreshness": "900s",
      "sourceHierarchyDatasets": {
        "datasetTemplate": {
           "location": "us",
           "datasetIdPrefix": "prefix_"
        }
      }
    }
  },
  "backfillAll": {
    "postgresqlExcludedObjects": {
        "postgresqlSchemas": [
          { "schema": "schema1",
            "postgresqlTables": [
              { "table": "tableA" }
            ]
          }
        ]
      }
    }
  }

gcloud

For more information about using gcloud to create a stream, see Google Cloud SDK documentation.

Example 3: Stream to a Cloud Storage destination

In this example, you learn how to:

  • Stream from Oracle to Cloud Storage
  • Define a set of objects to include in the stream
  • Define CMEK for encrypting data at rest

The following request shows how to create a stream that writes the events to a bucket in Cloud Storage.

In this example request, the events are written in the JSON output format, and a new file is created every 100 MB or 30 seconds (overriding the default values of 50 MB and 60 seconds).

For the JSON format, you can:

  • Include a unified types schema file in the path. As a result, Datastream writes two files to Cloud Storage: a JSON data file and an Avro schema file. The schema file has the same name as the data file, with a .schema extension.

  • Enable gzip compression to have Datastream compress the files that are written to Cloud Storage.

By using the backfillNone parameter, the request specifies that only ongoing changes are streamed into the destination, with no backfill.

The request specifies the customer-managed encryption key parameter which lets you control the keys used to encrypt data at rest within a Google Cloud project. The parameter refers to the CMEK that Datastream uses to encrypt data that's streamed from the source to the destination. It also specifies the key ring for your CMEK.

For more information about key rings, see Cloud KMS resources. For more information about protecting your data using encryption keys, see Cloud Key Management Service (KMS).

REST

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams?streamId=myOracleCdcStream
{
  "displayName": "Oracle CDC to Cloud Storage",
  "sourceConfig": {
    "sourceConnectionProfileName": "/projects/myProjectId1/locations/us-central1/
    connectionProfiles/OracleCp",
    "oracleSourceConfig": {
      "includeObjects": {
        "oracleSchemas": [
          {
            "schema": "schema1"
          }
        ]
      }
    }
  },
  "destinationConfig": {
    "destinationConnectionProfileName": "GcsBucketCp",
    "gcsDestinationConfig": {
      "path": "/folder1",
      "jsonFileFormat": {
        "schemaFileFormat": "AVRO_SCHEMA_FILE"
      },
      "fileRotationMb": 100,
      "fileRotationInterval": 30
    }
  },
  "customerManagedEncryptionKey": "projects/myProjectId1/locations/us-central1/
  keyRings/myRing/cryptoKeys/myEncryptionKey",
  "backfillNone": {}
}

gcloud

For more information about using gcloud to create a stream, see Google Cloud SDK documentation.

Validate the definition of a stream

Before creating a stream, you can validate its definition. This way, you can ensure that all validation checks pass, and that the stream will run successfully when created.

Validating a stream checks:

  • Whether the source is configured properly to allow Datastream to stream data from it.
  • Whether the stream can connect to both the source and the destination.
  • The end-to-end configuration of the stream.

To validate a stream, add &validate_only=true to the URL preceding the body of your request:

POST "https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/streams?streamId=STREAM_ID&validate_only=true"

After you make this request, you'll see the validation checks that Datastream runs for your source and destination, along with whether the checks pass or fail. For any validation check that doesn't pass, information appears as to why it failed and what to do to rectify the problem.

For example, suppose you have a customer-managed encryption key (CMEK) that you want Datastream to use to encrypt data that's streamed from the source to the destination. As part of validating the stream, Datastream will verify that the key exists, and that Datastream has permissions to use the key. If either of these conditions aren't met, then when you validate the stream, the following error message will be returned:

CMEK_DOES_NOT_EXIST_OR_MISSING_PERMISSIONS

To resolve this issue, verify that the key that you provided exists, and that the Datastream service account has the cloudkms.cryptoKeys.get permission for the key.

After making the appropriate corrections, make the request again to ensure that all validation checks pass. For the example above, the CMEK_VALIDATE_PERMISSIONS check will no longer return an error message, but will have a status of PASSED.

Get information about a stream

The following code shows a request to retrieve information about a stream. This information includes:

  • The stream's name (unique identifier)
  • A user-friendly name for the stream (display name)
  • Timestamps of when the stream was created and last updated
  • Information about the source and destination connection profiles associated with the stream
  • The stream's state

REST

GET https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/streams/STREAM_ID

The response appears, as follows:

{
  "name": "myOracleCdcStream",
  "displayName": "Oracle CDC to Cloud Storage",
  "createTime": "2019-12-15T15:01:23.045123456Z",
  "updateTime": "2019-12-15T15:01:23.045123456Z",
  "sourceConfig": {
    "sourceConnectionProfileName": "myOracleDb",
    "oracleSourceConfig": {
      "includeObjects": {
        "oracleSchemas": [
          {
            "schema": "schema1"
          },
          {
            "schema": "schema3",
            "oracleTables": [
              { "table": "tableA" },
              { "table": "tableC" }
            ]
          }
        ]
      }
    }
  },
  "destinationConfig": {
    "destinationConnectionProfileName": "myGcsBucket",
    "gcsDestinationConfig": {
      "path": "/folder1",
      "avroFileFormat": {},
      "fileRotationMb": 100,
      "fileRotationInterval": 60
    }
  },
  "state": "RUNNING"
  "customerManagedEncryptionKey": "projects/myProjectId1/locations/us-central1/
  keyRings/myRing/cryptoKeys/myEncryptionKey",
  "backfillAll": {}
}

gcloud

For more information about using gcloud to retrieve information about your stream, click here.

List streams

The following code shows a request to retrieve a list of all streams in the specified project and location.

REST

GET https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams

gcloud

For more information about using gcloud to retrieve information about all of your streams, click here.

List objects of a stream

The following code shows a request to retrieve information about all objects of a stream.

REST

GET https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID/objects

gcloud

For more information about using gcloud to retrieve information about all objects of your stream, click here.

The list of objects that's returned may look similar to the following:

REST

{
  "streamObjects": [
    {
      "name": "projects/myProjectId1/locations/us-central1/streams/myStream/
      objects/object1",
      "displayName": "employees.salaries",
      "backfillJob": {
        "state": "ACTIVE",
        "trigger": "AUTOMATIC",
        "lastStartTime": "2021-10-18T12:12:26.344878Z"
      },
      "sourceObject": {
        "mysqlIdentifier": {
          "database": "employees",
          "table": "salaries"
        }
      }
    },
    {
      "name": "projects/myProjectId1/locations/us-central1/streams/myStream/
      objects/object2",
      "displayName": "contractors.hours",
      "sourceObject": {
        "mysqlIdentifier": {
          "database": "contractors",
          "table": "hours"
        }
      }
    },
    {
      "name": "projects/myProjectId1/locations/us-central1/streams/myStream/
      objects/object3",
      "displayName": "employees.departments",
      "backfillJob": {
        "state": "COMPLETED",
        "trigger": "AUTOMATIC",
        "lastStartTime": "2021-10-18T11:26:12.869880Z",
        "lastEndTime": "2021-10-18T11:26:28.405653Z"
      },
      "sourceObject": {
        "mysqlIdentifier": {
          "database": "employees",
          "table": "departments"
        }
      }
    }
  ]
}

gcloud

For more information about using gcloud to list objects of a stream, click here.

Start a stream

The following code shows a request to start a stream.

By using the updateMask parameter in the request, only the fields that you specify have to be included in the body of the request. To start a stream, change the value in the state field from CREATED to RUNNING.

REST

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID?updateMask=state
{
  "state": "RUNNING"
}

gcloud

For more information about using gcloud to start your stream, click here.

Start a stream from a specific position

You can start a stream from a specific position for MySQL and Oracle sources, for example, if you want to perform backfill using an external tool, or start CDC from a log file that you indicate. For a MySQL source, you need to indicate a binlog position, for an Oracle source, a system change number (SCN) in the redo log file.

The following code shows a request to start an already created stream from a specific position.

Start a stream from a specific binlog position (MySQL):

REST

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "mysqlLogPosition": {
        "logFile": "NAME_OF_THE_LOG_FILE"
        "logPosition": POSITION
      }
    }
  }
}

Replace the following:

  • NAME_OF_THE_LOG_FILE: The name of the log file from which you want to start your stream.
  • POSITION: The position in the log file from which you want to start your stream. If you don't provide the value, Datastream starts reading from the head of the file.

For example:

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams/myStreamId1:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "mysqlLogPosition": {
        "logFile": "binlog.001"
        "logPosition": 2
      }
    }
  }
}

gcloud

Starting a stream from a specific position using gcloud isn't supported. For information about using gcloud to start a stream, see Cloud SDK documentation.

Start a stream from a specific system change number in the redo log file (Oracle):

REST

POST https://datastream.googleapis.com/v1/projects/[project-id]/locations/
[location]/streams/[stream-id]:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "oracleScnPosition": {
        "scn": scn
      }
    }
  }
}
Replace scn with the system change number (SCN) in the redo log file from which you want to start your stream. This field is mandatory.

For example:

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams/myStreamId1:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "oracleScnPosition": {
        "scn": 123123
      }
    }
  }
}

gcloud

Starting a stream from a specific position using gcloud isn't supported. For information about using gcloud to start a stream, see Cloud SDK documentation.

Pause a stream

The following code shows a request to pause a running stream.

For this example, the field specified for the updateMask parameter is the state field. By pausing the stream, you're changing its state from RUNNING to PAUSED.

REST

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID?updateMask=state
{
  "state": "PAUSED"
}

gcloud

For more information about using gcloud to pause your stream, click here.

Resume a stream

The following code shows a request to resume a paused stream.

For this example, the field specified for the updateMask parameter is the state field. By resuming the stream, you're changing its state from PAUSED to RUNNING.

REST

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID?updateMask=state
{
  "state": "RUNNING"
}

gcloud

For more information about using gcloud to resume your stream, click here.

Recover a stream

You can recover a permanently failed stream for a MySQL, Oracle or PostgreSQL source using the RunStream method. Each source database type has its own definition of what stream recovery operations are possible. For more information, see Recover a stream.

Recover a stream for a MySQL or an Oracle source

The following code samples show requests to recover a stream for a MySQL or an Oracle source from various log file positions:

REST

Recover a stream from the current position. This is the default option:

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run

Recover a stream from the next available position:

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run
{
  "cdcStrategy": {
    "nextAvailableStartPosition": {}
  }
}

Recover a stream from the most recent position:

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run
{
  "cdcStrategy": {
    "mostRecentStartPosition": {}
  }
}

Recover a stream from a specific position (MySQL):

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "mysqlLogPosition": {
        "logFile": "NAME_OF_THE_LOG_FILE"
        "logPosition": POSITION
      }
    }
  }
}

Replace the following:

  • NAME_OF_THE_LOG_FILE: The name of the log file from which you want to recover your stream
  • POSITION: The position in the log file from which you want to recover your stream. If you don't provide the value, Datastream recovers the stream from the head of the file.

For example:

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams/myStreamId1:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "mysqlLogPosition": {
        "logFile": "binlog.001"
        "logPosition": 4
      }
    }
  }
}

Recover a stream from a specific position (Oracle):

POST https://datastream.googleapis.com/v1/projects/[project-id]/locations/
[location]/streams/[stream-id]:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "oracleScnPosition": {
        "scn": scn
      }
    }
  }
}
Replace scn with the system change number (SCN) in the redo log file from which you want to recover your stream. This field is mandatory.

For example:

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams/myStreamId1:run
{
  "cdcStrategy": {
    "specificStartPosition": {
      "oracleScnPosition": {
        "scn": 234234
      }
    }
  }
}

For more information about available recovery options, see Recover a stream.

gcloud

Recovering a stream using gcloud isn't supported.

Recover a stream for a PostgreSQL source

The following code sample shows a request to recover a stream for a PostgreSQL source. During recovery, the stream starts reading from the first log sequence number (LSN) in the replication slot configured for the stream.

REST

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID:run

For example:

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams/myStreamId1:run

If you want to change the replication slot, update the stream with the new replication slot name first:

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID?updateMask=sourceConfig.postgresqlSourceConfig.replicationSlot
{
  "sourceConfig": {
    "postgresqlSourceConfig": {
      "replicationSlot": "NEW_REPLICATION_SLOT_NAME"
    }
  }
}

gcloud

Recovering a stream using gcloud isn't supported.

Modify a stream

The following code shows a request to update the file rotation configuration of a stream to rotate the file every 75 MB or 45 seconds.

For this example, the fields specified for the updateMask parameter include the fileRotationMb and fileRotationInterval fields, represented by the destinationConfig.gcsDestinationConfig.fileRotationMb and destinationConfig.gcsDestinationConfig.fileRotationInterval flags, respectively.

REST

PATCH https://datastream.googleapis.com/v1/projects/myProjectId1/locations/us-central1/streams/myStream?updateMask=destinationConfig.gcsDestinationConfig.
fileRotationMb,destinationConfig.gcsDestinationConfig.fileRotationInterval
{
  "destinationConfig": {
    "gcsDestinationConfig": {
      "fileRotationMb": 75,
      "fileRotationInterval": 45
    }
  }
}

The following code shows a request to include a Unified Types schema file in the path of files that Datastream writes to Cloud Storage. As a result, Datastream writes two files: a JSON data file and an Avro schema file.

For this example, the field specified is the jsonFileFormat field, represented by the destinationConfig.gcsDestinationConfig.jsonFileFormat flag.

PATCH https://datastream.googleapis.com/v1/projects/myProjectId1/locations/us-central1/streams/myStream?updateMask=destinationConfig.gcsDestinationConfig.
jsonFileFormat
{
  "destinationConfig": {
    "gcsDestinationConfig": {
      "jsonFileFormat" {
        "schemaFileFormat": "AVRO_SCHEMA_FILE"
      }  
    }
  }
}

The following code shows a request for Datastream to replicate existing data, in addition to ongoing changes to the data, from the source database into the destination.

The oracleExcludedObjects section of the code shows those tables and schemas that are restricted from being backfilled into the destination.

For this example, all tables and schemas will be backfilled, except for tableA in schema3.

PATCH https://datastream.googleapis.com/v1/projects/myProjectId1/locations/us-central1/streams/myStream?updateMask=backfillAll
{
  "backfillAll": {
    "oracleExcludedObjects": {
      "oracleSchemas": [
        {
          "schema": "schema3",
          "oracleTables": [
            { "table": "tableA" }
          ]
        }
      ]
    }
  }
}

gcloud

For more information about using gcloud to modify your stream, click here.

Initiate backfill for an object of a stream

A stream in Datastream can backfill historical data, as well as stream ongoing changes into a destination. Ongoing changes will always be streamed from a source into a destination. However, you can specify whether you want historical data to be streamed.

If you want historical data to be streamed from the source into the destination, then use the backfillAll parameter.

Datastream also lets you stream historical data only for specific database tables. To do this, use the backfillAll parameter, and exclude the tables for which you don't want historical data.

If you want only ongoing changes to be streamed into the destination, then use the backfillNone parameter. If you then want Datastream to stream a snapshot of all existing data from the source to the destination, you must initiate backfill manually for the objects that contain this data.

Another reason for initiating backfill for an object is if data is out of sync between the source and the destination. For example, a user can delete data in the destination inadvertently, and the data is now lost. In this case, initiating backfill for the object serves as a "reset mechanism" because all data is streamed into the destination in one shot. As a result, the data is synced between the source and the destination.

Before you can initiate backfill for an object of a stream, you must retrieve information about the object.

Each object has an OBJECT_ID, which uniquely identifies the object. You use the OBJECT_ID to initiate backfill for the stream.

REST

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID/objects/OBJECT_ID:startBackfillJob

gcloud

For more information about using gcloud to initial backfill for an object of your stream, click here.

Stop backfill for an object of a stream

After initiating backfill for an object of a stream, you can stop backfill for the object. For example, if a user modifies a database schema, then the schema or data may be corrupted. You don't want this schema or data to be streamed into the destination, and so you stop backfill for the object.

You can also stop backfill for an object for load balancing purposes. Datastream can run multiple backfills in parallel. This may put an additional load on the source. If the load is significant, stop backfill for each object, and then initiate backfill for the objects, one by one.

Before you can stop backfill for an object of a stream, you must make a request to retrieve information about all objects of a stream. Each object that's returned has an OBJECT_ID, which uniquely identifies the object. You use the OBJECT_ID to stop backfill for the stream.

REST

POST https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID/objects/OBJECT_ID:stopBackfillJob

gcloud

For more information about using gcloud to stop backfill for an object of your stream, click here.

Change the number of maximum concurrent CDC tasks

The following code shows how to set the number of maximum concurrent change data capture (CDC) tasks for a MySQL stream to 7.

For this example, the field specified for the updateMask parameter is the maxConcurrentCdcTasks field. By setting its value to 7, you're changing the number of maximum concurrent CDC tasks from the previous value to 7. You can use values from 0 to 50 (inclusive). If you don't define the value, or if you define it as 0, the system default of 5 tasks is set for the stream.

REST

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID?updateMask=sourceConfig.mysqlSourceConfig.maxConcurrentCdcTasks
{
  "sourceConfig": {
    "mysqlSourceConfig": {
      "maxConcurrentCdcTasks": "7"
      }
    }  
}

gcloud

For more information about using gcloud, click here.

Change the number of maximum concurrent backfill tasks

The following code shows how to set the number of maximum concurrent backfill tasks for a MySQL stream to 25.

For this example, the field specified for the updateMask parameter is the maxConcurrentBackfillTasks field. By setting its value to 25, you're changing the number of maximum concurrent backfill tasks from the previous value to 25. You can use values from 0 to 50 (inclusive). If you don't define the value, or if you define it as 0, the system default of 16 tasks is set for the stream.

REST

PATCH https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/
streams/STREAM_ID?updateMask=sourceConfig.mysqlSourceConfig.maxConcurrentBackfillTasks
{
  "sourceConfig": {
    "mysqlSourceConfig": {
      "maxConcurrentBackfillTasks": "25"
      }
    }  
}

gcloud

For more information about using gcloud, click here.

Enable streaming of large objects for Oracle sources

You can enable streaming of large objects, such as binary large objects (BLOB), character large objects (CLOB) and national character large objects (NCLOB) for streams with Oracle sources. The streamLargeObjects flag lets you include large objects both in new and existing streams. The flag is set on stream level, you don't need to specify the columns of large object data types.

The following example shows how to create a stream that lets you stream large objects.

REST

POST https://datastream.googleapis.com/v1/projects/myProjectId1/locations/
us-central1/streams?streamId=myOracleLobStream
{
  "displayName": "Oracle LOB stream",
  "sourceConfig": {
    "sourceConnectionProfileName": "/projects/myProjectId1/locations/us-central1/connectionProfiles/OracleCp",
    "oracleSourceConfig": {
      "includeObjects": {
        "oracleSchemas": [
          {
            "schema": "schema1",
            "oracleTables": [
              {
                "table": "tableA",
                "oracleColumns": [
                  {
                    "column": "column1,column2"
                  }
                ]
              }
            ]
          }
        ]
      },
      "excludeObjects": {},
      "streamLargeObjects": {}
    }
  }
}

gcloud

For more information about using gcloud to update a stream, see Google Cloud SDK documentation.

Delete a stream

The following code shows a request to delete a stream.

REST

DELETE https://datastream.googleapis.com/v1/projects/PROJECT_ID/locations/
LOCATION/streams/STREAM_ID

gcloud

For more information about using gcloud to delete your stream, click here.

Previous
Manage connection profiles using the API
Next
Troubleshoot a stream