public class AlterDatasourceRequest extends Object implements org.apache.avro.generic.IndexedRecord
GPUdb.alterDatasource
.
Alters the properties of an existing data source
Modifier and Type | Class and Description |
---|---|
static class |
AlterDatasourceRequest.DatasourceUpdatesMap
A set of string constants for the
AlterDatasourceRequest
parameter datasourceUpdatesMap . |
Constructor and Description |
---|
AlterDatasourceRequest()
Constructs an AlterDatasourceRequest object with default parameters.
|
AlterDatasourceRequest(String name,
Map<String,String> datasourceUpdatesMap,
Map<String,String> options)
Constructs an AlterDatasourceRequest object with the specified
parameters.
|
Modifier and Type | Method and Description |
---|---|
boolean |
equals(Object obj) |
Object |
get(int index)
This method supports the Avro framework and is not intended to be called
directly by the user.
|
static org.apache.avro.Schema |
getClassSchema()
This method supports the Avro framework and is not intended to be called
directly by the user.
|
Map<String,String> |
getDatasourceUpdatesMap()
Map containing the properties of the data source to be updated.
|
String |
getName()
Name of the data source to be altered.
|
Map<String,String> |
getOptions()
Optional parameters.
|
org.apache.avro.Schema |
getSchema()
This method supports the Avro framework and is not intended to be called
directly by the user.
|
int |
hashCode() |
void |
put(int index,
Object value)
This method supports the Avro framework and is not intended to be called
directly by the user.
|
AlterDatasourceRequest |
setDatasourceUpdatesMap(Map<String,String> datasourceUpdatesMap)
Map containing the properties of the data source to be updated.
|
AlterDatasourceRequest |
setName(String name)
Name of the data source to be altered.
|
AlterDatasourceRequest |
setOptions(Map<String,String> options)
Optional parameters.
|
String |
toString() |
public AlterDatasourceRequest()
public AlterDatasourceRequest(String name, Map<String,String> datasourceUpdatesMap, Map<String,String> options)
name
- Name of the data source to be altered. Must be an existing
data source.datasourceUpdatesMap
- Map containing the properties of the data
source to be updated. Error if empty.
LOCATION
: Location of the remote
storage in
'storage_provider_type://[storage_path[:storage_port]]'
format. Supported storage provider
types are 'azure', 'gcs', 'hdfs',
'jdbc', 'kafka', 'confluent', and
's3'.
USER_NAME
: Name of the remote
system user; may be an empty string
PASSWORD
: Password for the remote
system user; may be an empty string
SKIP_VALIDATION
: Bypass validation
of connection to remote source.
Supported values:
The default value is FALSE
.
CONNECTION_TIMEOUT
: Timeout in
seconds for connecting to this
storage provider
WAIT_TIMEOUT
: Timeout in seconds
for reading from this storage
provider
CREDENTIAL
: Name of the credential object
to be used in data source
S3_BUCKET_NAME
: Name of the Amazon
S3 bucket to use as the data source
S3_REGION
: Name of the Amazon S3
region where the given bucket is
located
S3_VERIFY_SSL
: Whether to verify
SSL connections.
Supported values:
TRUE
: Connect with SSL
verification
FALSE
: Connect without
verifying the SSL
connection; for testing
purposes, bypassing TLS
errors, self-signed
certificates, etc.
TRUE
.
S3_USE_VIRTUAL_ADDRESSING
: Whether
to use virtual addressing when
referencing the Amazon S3 source.
Supported values:
TRUE
: The requests URI
should be specified in
virtual-hosted-style format
where the bucket name is
part of the domain name in
the URL.
FALSE
: Use path-style URI
for requests.
TRUE
.
S3_AWS_ROLE_ARN
: Amazon IAM Role
ARN which has required S3
permissions that can be assumed for
the given S3 IAM user
S3_ENCRYPTION_CUSTOMER_ALGORITHM
:
Customer encryption algorithm used
encrypting data
S3_ENCRYPTION_CUSTOMER_KEY
:
Customer encryption key to encrypt
or decrypt data
HDFS_KERBEROS_KEYTAB
: Kerberos
keytab file location for the given
HDFS user. This may be a KIFS
file.
HDFS_DELEGATION_TOKEN
: Delegation
token for the given HDFS user
HDFS_USE_KERBEROS
: Use kerberos
authentication for the given HDFS
cluster.
Supported values:
The default value is FALSE
.
AZURE_STORAGE_ACCOUNT_NAME
: Name
of the Azure storage account to use
as the data source, this is valid
only if tenant_id is specified
AZURE_CONTAINER_NAME
: Name of the
Azure storage container to use as
the data source
AZURE_TENANT_ID
: Active Directory
tenant ID (or directory ID)
AZURE_SAS_TOKEN
: Shared access
signature token for Azure storage
account to use as the data source
AZURE_OAUTH_TOKEN
: OAuth token to
access given storage container
GCS_BUCKET_NAME
: Name of the
Google Cloud Storage bucket to use
as the data source
GCS_PROJECT_ID
: Name of the Google
Cloud project to use as the data
source
GCS_SERVICE_ACCOUNT_KEYS
: Google
Cloud service account keys to use
for authenticating the data source
JDBC_DRIVER_JAR_PATH
: JDBC driver
jar file location. This may be a
KIFS file.
JDBC_DRIVER_CLASS_NAME
: Name of
the JDBC driver class
KAFKA_URL
: The publicly-accessible
full path URL to the Kafka broker,
e.g., 'http://172.123.45.67:9300'.
KAFKA_TOPIC_NAME
: Name of the
Kafka topic to use as the data
source
ANONYMOUS
: Create an anonymous
connection to the storage
provider--DEPRECATED: this is now
the default. Specify
use_managed_credentials for
non-anonymous connection.
Supported values:
The default value is TRUE
.
USE_MANAGED_CREDENTIALS
: When no
credentials are supplied, we use
anonymous access by default. If
this is set, we will use cloud
provider user settings.
Supported values:
The default value is FALSE
.
USE_HTTPS
: Use https to connect to
datasource if true, otherwise use
http.
Supported values:
The default value is TRUE
.
SCHEMA_NAME
: Updates the schema
name. If SCHEMA_NAME
doesn't exist, an
error will be thrown. If SCHEMA_NAME
is empty, then the
user's default schema will be used.
SCHEMA_REGISTRY_LOCATION
: Location
of Confluent Schema Registry in
'[storage_path[:storage_port]]'
format.
SCHEMA_REGISTRY_CREDENTIAL
:
Confluent Schema Registry credential object
name.
SCHEMA_REGISTRY_PORT
: Confluent
Schema Registry port (optional).
options
- Optional parameters.public static org.apache.avro.Schema getClassSchema()
public String getName()
name
.public AlterDatasourceRequest setName(String name)
name
- The new value for name
.this
to mimic the builder pattern.public Map<String,String> getDatasourceUpdatesMap()
LOCATION
: Location of the
remote storage in
'storage_provider_type://[storage_path[:storage_port]]' format.
Supported storage provider types are 'azure', 'gcs', 'hdfs',
'jdbc', 'kafka', 'confluent', and 's3'.
USER_NAME
: Name of the
remote system user; may be an empty string
PASSWORD
: Password for the
remote system user; may be an empty string
SKIP_VALIDATION
:
Bypass validation of connection to remote source.
Supported values:
The default value is FALSE
.
CONNECTION_TIMEOUT
: Timeout in seconds for connecting to this
storage provider
WAIT_TIMEOUT
: Timeout
in seconds for reading from this storage provider
CREDENTIAL
: Name of the
credential object to be used in data source
S3_BUCKET_NAME
: Name
of the Amazon S3 bucket to use as the data source
S3_REGION
: Name of the
Amazon S3 region where the given bucket is located
S3_VERIFY_SSL
:
Whether to verify SSL connections.
Supported values:
TRUE
: Connect with SSL
verification
FALSE
: Connect
without verifying the SSL connection; for testing
purposes, bypassing TLS errors, self-signed
certificates, etc.
TRUE
.
S3_USE_VIRTUAL_ADDRESSING
: Whether to use virtual addressing
when referencing the Amazon S3 source.
Supported values:
TRUE
: The requests URI
should be specified in virtual-hosted-style format where
the bucket name is part of the domain name in the URL.
FALSE
: Use path-style
URI for requests.
TRUE
.
S3_AWS_ROLE_ARN
:
Amazon IAM Role ARN which has required S3 permissions that can
be assumed for the given S3 IAM user
S3_ENCRYPTION_CUSTOMER_ALGORITHM
: Customer encryption algorithm
used encrypting data
S3_ENCRYPTION_CUSTOMER_KEY
: Customer encryption key to encrypt
or decrypt data
HDFS_KERBEROS_KEYTAB
: Kerberos keytab file location for the
given HDFS user. This may be a KIFS file.
HDFS_DELEGATION_TOKEN
: Delegation token for the given HDFS user
HDFS_USE_KERBEROS
: Use kerberos authentication for the given
HDFS cluster.
Supported values:
The default value is FALSE
.
AZURE_STORAGE_ACCOUNT_NAME
: Name of the Azure storage account
to use as the data source, this is valid only if tenant_id is
specified
AZURE_CONTAINER_NAME
: Name of the Azure storage container to
use as the data source
AZURE_TENANT_ID
:
Active Directory tenant ID (or directory ID)
AZURE_SAS_TOKEN
:
Shared access signature token for Azure storage account to use
as the data source
AZURE_OAUTH_TOKEN
: OAuth token to access given storage
container
GCS_BUCKET_NAME
:
Name of the Google Cloud Storage bucket to use as the data
source
GCS_PROJECT_ID
: Name
of the Google Cloud project to use as the data source
GCS_SERVICE_ACCOUNT_KEYS
: Google Cloud service account keys to
use for authenticating the data source
JDBC_DRIVER_JAR_PATH
: JDBC driver jar file location. This may
be a KIFS file.
JDBC_DRIVER_CLASS_NAME
: Name of the JDBC driver class
KAFKA_URL
: The
publicly-accessible full path URL to the Kafka broker, e.g.,
'http://172.123.45.67:9300'.
KAFKA_TOPIC_NAME
:
Name of the Kafka topic to use as the data source
ANONYMOUS
: Create an
anonymous connection to the storage provider--DEPRECATED: this
is now the default. Specify use_managed_credentials for
non-anonymous connection.
Supported values:
The default value is TRUE
.
USE_MANAGED_CREDENTIALS
: When no credentials are supplied, we
use anonymous access by default. If this is set, we will use
cloud provider user settings.
Supported values:
The default value is FALSE
.
USE_HTTPS
: Use https to
connect to datasource if true, otherwise use http.
Supported values:
The default value is TRUE
.
SCHEMA_NAME
: Updates
the schema name. If SCHEMA_NAME
doesn't exist, an error will be thrown. If SCHEMA_NAME
is empty, then the
user's default schema will be used.
SCHEMA_REGISTRY_LOCATION
: Location of Confluent Schema Registry
in '[storage_path[:storage_port]]' format.
SCHEMA_REGISTRY_CREDENTIAL
: Confluent Schema Registry credential object name.
SCHEMA_REGISTRY_PORT
: Confluent Schema Registry port
(optional).
datasourceUpdatesMap
.public AlterDatasourceRequest setDatasourceUpdatesMap(Map<String,String> datasourceUpdatesMap)
LOCATION
: Location of the
remote storage in
'storage_provider_type://[storage_path[:storage_port]]' format.
Supported storage provider types are 'azure', 'gcs', 'hdfs',
'jdbc', 'kafka', 'confluent', and 's3'.
USER_NAME
: Name of the
remote system user; may be an empty string
PASSWORD
: Password for the
remote system user; may be an empty string
SKIP_VALIDATION
:
Bypass validation of connection to remote source.
Supported values:
The default value is FALSE
.
CONNECTION_TIMEOUT
: Timeout in seconds for connecting to this
storage provider
WAIT_TIMEOUT
: Timeout
in seconds for reading from this storage provider
CREDENTIAL
: Name of the
credential object to be used in data source
S3_BUCKET_NAME
: Name
of the Amazon S3 bucket to use as the data source
S3_REGION
: Name of the
Amazon S3 region where the given bucket is located
S3_VERIFY_SSL
:
Whether to verify SSL connections.
Supported values:
TRUE
: Connect with SSL
verification
FALSE
: Connect
without verifying the SSL connection; for testing
purposes, bypassing TLS errors, self-signed
certificates, etc.
TRUE
.
S3_USE_VIRTUAL_ADDRESSING
: Whether to use virtual addressing
when referencing the Amazon S3 source.
Supported values:
TRUE
: The requests URI
should be specified in virtual-hosted-style format where
the bucket name is part of the domain name in the URL.
FALSE
: Use path-style
URI for requests.
TRUE
.
S3_AWS_ROLE_ARN
:
Amazon IAM Role ARN which has required S3 permissions that can
be assumed for the given S3 IAM user
S3_ENCRYPTION_CUSTOMER_ALGORITHM
: Customer encryption algorithm
used encrypting data
S3_ENCRYPTION_CUSTOMER_KEY
: Customer encryption key to encrypt
or decrypt data
HDFS_KERBEROS_KEYTAB
: Kerberos keytab file location for the
given HDFS user. This may be a KIFS file.
HDFS_DELEGATION_TOKEN
: Delegation token for the given HDFS user
HDFS_USE_KERBEROS
: Use kerberos authentication for the given
HDFS cluster.
Supported values:
The default value is FALSE
.
AZURE_STORAGE_ACCOUNT_NAME
: Name of the Azure storage account
to use as the data source, this is valid only if tenant_id is
specified
AZURE_CONTAINER_NAME
: Name of the Azure storage container to
use as the data source
AZURE_TENANT_ID
:
Active Directory tenant ID (or directory ID)
AZURE_SAS_TOKEN
:
Shared access signature token for Azure storage account to use
as the data source
AZURE_OAUTH_TOKEN
: OAuth token to access given storage
container
GCS_BUCKET_NAME
:
Name of the Google Cloud Storage bucket to use as the data
source
GCS_PROJECT_ID
: Name
of the Google Cloud project to use as the data source
GCS_SERVICE_ACCOUNT_KEYS
: Google Cloud service account keys to
use for authenticating the data source
JDBC_DRIVER_JAR_PATH
: JDBC driver jar file location. This may
be a KIFS file.
JDBC_DRIVER_CLASS_NAME
: Name of the JDBC driver class
KAFKA_URL
: The
publicly-accessible full path URL to the Kafka broker, e.g.,
'http://172.123.45.67:9300'.
KAFKA_TOPIC_NAME
:
Name of the Kafka topic to use as the data source
ANONYMOUS
: Create an
anonymous connection to the storage provider--DEPRECATED: this
is now the default. Specify use_managed_credentials for
non-anonymous connection.
Supported values:
The default value is TRUE
.
USE_MANAGED_CREDENTIALS
: When no credentials are supplied, we
use anonymous access by default. If this is set, we will use
cloud provider user settings.
Supported values:
The default value is FALSE
.
USE_HTTPS
: Use https to
connect to datasource if true, otherwise use http.
Supported values:
The default value is TRUE
.
SCHEMA_NAME
: Updates
the schema name. If SCHEMA_NAME
doesn't exist, an error will be thrown. If SCHEMA_NAME
is empty, then the
user's default schema will be used.
SCHEMA_REGISTRY_LOCATION
: Location of Confluent Schema Registry
in '[storage_path[:storage_port]]' format.
SCHEMA_REGISTRY_CREDENTIAL
: Confluent Schema Registry credential object name.
SCHEMA_REGISTRY_PORT
: Confluent Schema Registry port
(optional).
datasourceUpdatesMap
- The new value for datasourceUpdatesMap
.this
to mimic the builder pattern.public Map<String,String> getOptions()
options
.public AlterDatasourceRequest setOptions(Map<String,String> options)
options
- The new value for options
.this
to mimic the builder pattern.public org.apache.avro.Schema getSchema()
getSchema
in interface org.apache.avro.generic.GenericContainer
public Object get(int index)
get
in interface org.apache.avro.generic.IndexedRecord
index
- the position of the field to getIndexOutOfBoundsException
public void put(int index, Object value)
put
in interface org.apache.avro.generic.IndexedRecord
index
- the position of the field to setvalue
- the value to setIndexOutOfBoundsException
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