Interface TableSpecOrBuilder

public interface TableSpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getColumnCount()

public abstract long getColumnCount()

Output only. The number of columns of the table. That is, the number of child ColumnSpec-s.

int64 column_count = 7;

Returns
TypeDescription
long

The columnCount.

getEtag()

public abstract String getEtag()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Returns
TypeDescription
String

The etag.

getEtagBytes()

public abstract ByteString getEtagBytes()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Returns
TypeDescription
ByteString

The bytes for etag.

getInputConfigs(int index)

public abstract InputConfig getInputConfigs(int index)

Output only. Input configs via which data currently residing in the table had been imported.

repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5;

Parameter
NameDescription
indexint
Returns
TypeDescription
InputConfig

getInputConfigsCount()

public abstract int getInputConfigsCount()

Output only. Input configs via which data currently residing in the table had been imported.

repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5;

Returns
TypeDescription
int

getInputConfigsList()

public abstract List<InputConfig> getInputConfigsList()

Output only. Input configs via which data currently residing in the table had been imported.

repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5;

Returns
TypeDescription
List<InputConfig>

getInputConfigsOrBuilder(int index)

public abstract InputConfigOrBuilder getInputConfigsOrBuilder(int index)

Output only. Input configs via which data currently residing in the table had been imported.

repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5;

Parameter
NameDescription
indexint
Returns
TypeDescription
InputConfigOrBuilder

getInputConfigsOrBuilderList()

public abstract List<? extends InputConfigOrBuilder> getInputConfigsOrBuilderList()

Output only. Input configs via which data currently residing in the table had been imported.

repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5;

Returns
TypeDescription
List<? extends com.google.cloud.automl.v1beta1.InputConfigOrBuilder>

getName()

public abstract String getName()

Output only. The resource name of the table spec. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}

string name = 1;

Returns
TypeDescription
String

The name.

getNameBytes()

public abstract ByteString getNameBytes()

Output only. The resource name of the table spec. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}

string name = 1;

Returns
TypeDescription
ByteString

The bytes for name.

getRowCount()

public abstract long getRowCount()

Output only. The number of rows (i.e. examples) in the table.

int64 row_count = 3;

Returns
TypeDescription
long

The rowCount.

getTimeColumnSpecId()

public abstract String getTimeColumnSpecId()

column_spec_id of the time column. Only used if the parent dataset's ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and those in between to VALIDATE. Required type: TIMESTAMP. If both this column and ml_use_column are not set, then ML use of all rows will be assigned by AutoML. NOTE: Updates of this field will instantly affect any other users concurrently working with the dataset.

string time_column_spec_id = 2;

Returns
TypeDescription
String

The timeColumnSpecId.

getTimeColumnSpecIdBytes()

public abstract ByteString getTimeColumnSpecIdBytes()

column_spec_id of the time column. Only used if the parent dataset's ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and those in between to VALIDATE. Required type: TIMESTAMP. If both this column and ml_use_column are not set, then ML use of all rows will be assigned by AutoML. NOTE: Updates of this field will instantly affect any other users concurrently working with the dataset.

string time_column_spec_id = 2;

Returns
TypeDescription
ByteString

The bytes for timeColumnSpecId.

getValidRowCount()

public abstract long getValidRowCount()

Output only. The number of valid rows (i.e. without values that don't match DataType-s of their columns).

int64 valid_row_count = 4;

Returns
TypeDescription
long

The validRowCount.