public class CreateProjectionRequest extends Object implements org.apache.avro.generic.IndexedRecord
GPUdb.createProjection(CreateProjectionRequest)
.
Creates a new projection of an existing table. A projection represents a subset of the columns (potentially including derived columns) of a table.
For projection details and examples, see Projections. For limitations, see Projection Limitations and Cautions.
Window
functions, which can perform
operations like moving averages, are available through this endpoint as well
as
GPUdb.getRecordsByColumnRaw(GetRecordsByColumnRequest)
.
A projection can be created with a different
shard
key than the source table.
By specifying shard_key
, the projection will be sharded
according to the specified columns, regardless of how the source table is
sharded. The source table can even be unsharded or replicated.
If tableName
is empty, selection is performed against a single-row
virtual table. This can be useful in executing temporal
(NOW()), identity
(USER()), or
constant-based functions
(GEODIST(-77.11, 38.88, -71.06, 42.36)).
Modifier and Type | Class and Description |
---|---|
static class |
CreateProjectionRequest.Options
Optional parameters.
|
Constructor and Description |
---|
CreateProjectionRequest()
Constructs a CreateProjectionRequest object with default parameters.
|
CreateProjectionRequest(String tableName,
String projectionName,
List<String> columnNames,
Map<String,String> options)
Constructs a CreateProjectionRequest 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.
|
List<String> |
getColumnNames() |
Map<String,String> |
getOptions() |
String |
getProjectionName() |
org.apache.avro.Schema |
getSchema()
This method supports the Avro framework and is not intended to be called
directly by the user.
|
String |
getTableName() |
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.
|
CreateProjectionRequest |
setColumnNames(List<String> columnNames) |
CreateProjectionRequest |
setOptions(Map<String,String> options) |
CreateProjectionRequest |
setProjectionName(String projectionName) |
CreateProjectionRequest |
setTableName(String tableName) |
String |
toString() |
public CreateProjectionRequest()
public CreateProjectionRequest(String tableName, String projectionName, List<String> columnNames, Map<String,String> options)
tableName
- Name of the existing table on which the projection is
to be applied, in [schema_name.]table_name format,
using standard name resolution rules. An empty
table name creates a projection from a single-row
virtual table, where columns specified should be
constants or constant expressions.projectionName
- Name of the projection to be created, in
[schema_name.]table_name format, using standard
name resolution rules and
meeting table naming criteria.columnNames
- List of columns from tableName
to be
included in the projection. Can include derived
columns. Can be specified as aliased via the syntax
'column_name as alias'.options
- Optional parameters.
CREATE_TEMP_TABLE
: If true
, a unique temporary
table name will be generated in the sys_temp schema and
used in place of projectionName
. If persist
is false
(or unspecified), then this is
always allowed even if the caller does not have
permission to create tables. The generated name is
returned in qualified_projection_name
.
Supported values:
The default value is FALSE
.
COLLECTION_NAME
: [DEPRECATED--please specify the
containing schema for the projection as part of projectionName
and use GPUdb.createSchema(CreateSchemaRequest)
to
create the schema if non-existent] Name of a schema for
the projection. If the schema is non-existent, it will
be automatically created. The default value is ''.
EXPRESSION
: An optional filter expression to be applied to the source
table prior to the projection. The default value is ''.
IS_REPLICATED
: If true
then the projection will
be replicated even if the source table is not.
Supported values:
The default value is FALSE
.
OFFSET
: The number of initial results to skip (this can
be useful for paging through the results). The default
value is '0'.
LIMIT
: The number of records to keep. The default
value is '-9999'.
ORDER_BY
: Comma-separated list of the columns to be
sorted by; e.g. 'timestamp asc, x desc'. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name. The
default value is ''.
CHUNK_SIZE
: Indicates the number of records per chunk
to be used for this projection.
CREATE_INDEXES
: Comma-separated list of columns on
which to create indexes on the projection. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name.
TTL
: Sets the TTL of the projection specified in
projectionName
.
SHARD_KEY
: Comma-separated list of the columns to be
sharded on; e.g. 'column1, column2'. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name. The
default value is ''.
PERSIST
: If true
, then the projection specified
in projectionName
will be persisted and will not
expire unless a ttl
is specified. If false
, then the projection will be an in-memory table
and will expire unless a ttl
is specified
otherwise.
Supported values:
The default value is FALSE
.
PRESERVE_DICT_ENCODING
: If true
, then columns
that were dict encoded in the source table will be dict
encoded in the projection.
Supported values:
The default value is TRUE
.
RETAIN_PARTITIONS
: Determines whether the created
projection will retain the partitioning scheme from the
source table.
Supported values:
The default value is FALSE
.
PARTITION_TYPE
: Partitioning scheme to use.
Supported values:
RANGE
: Use range partitioning.
INTERVAL
: Use interval partitioning.
LIST
: Use list partitioning.
HASH
: Use hash partitioning.
SERIES
: Use series partitioning.
PARTITION_KEYS
: Comma-separated list of partition keys,
which are the columns or column expressions by which
records will be assigned to partitions defined by partition_definitions
.
PARTITION_DEFINITIONS
: Comma-separated list of
partition definitions, whose format depends on the
choice of partition_type
. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example
formats.
IS_AUTOMATIC_PARTITION
: If true
, a new
partition will be created for values which don't fall
into an existing partition. Currently only supported
for list partitions.
Supported values:
The default value is FALSE
.
VIEW_ID
: ID of view of which this projection is a
member. The default value is ''.
STRATEGY_DEFINITION
: The tier strategy for the table and its
columns.
Map
.public static org.apache.avro.Schema getClassSchema()
public String getTableName()
public CreateProjectionRequest setTableName(String tableName)
tableName
- Name of the existing table on which the projection is
to be applied, in [schema_name.]table_name format,
using standard name resolution rules. An empty
table name creates a projection from a single-row
virtual table, where columns specified should be
constants or constant expressions.this
to mimic the builder pattern.public String getProjectionName()
public CreateProjectionRequest setProjectionName(String projectionName)
projectionName
- Name of the projection to be created, in
[schema_name.]table_name format, using standard
name resolution rules and
meeting table naming criteria.this
to mimic the builder pattern.public List<String> getColumnNames()
tableName
to be included in the
projection. Can include derived columns. Can be specified as
aliased via the syntax 'column_name as alias'.public CreateProjectionRequest setColumnNames(List<String> columnNames)
columnNames
- List of columns from tableName
to be
included in the projection. Can include derived
columns. Can be specified as aliased via the syntax
'column_name as alias'.this
to mimic the builder pattern.public Map<String,String> getOptions()
CREATE_TEMP_TABLE
: If true
, a unique temporary table
name will be generated in the sys_temp schema and used in place
of projectionName
. If persist
is false
(or unspecified), then this is always allowed even if the caller
does not have permission to create tables. The generated name is
returned in qualified_projection_name
.
Supported values:
The default value is FALSE
.
COLLECTION_NAME
: [DEPRECATED--please specify the containing
schema for the projection as part of projectionName
and
use GPUdb.createSchema(CreateSchemaRequest)
to
create the schema if non-existent] Name of a schema for the
projection. If the schema is non-existent, it will be
automatically created. The default value is ''.
EXPRESSION
: An optional filter expression to be applied to the source table
prior to the projection. The default value is ''.
IS_REPLICATED
: If true
then the projection will be
replicated even if the source table is not.
Supported values:
The default value is FALSE
.
OFFSET
: The number of initial results to skip (this can be
useful for paging through the results). The default value is
'0'.
LIMIT
:
The number of records to keep. The default value is '-9999'.
ORDER_BY
: Comma-separated list of the columns to be sorted by;
e.g. 'timestamp asc, x desc'. The columns specified must be
present in columnNames
. If any alias is given for any
column name, the alias must be used, rather than the original
column name. The default value is ''.
CHUNK_SIZE
: Indicates the number of records per chunk to be
used for this projection.
CREATE_INDEXES
: Comma-separated list of columns on which to
create indexes on the projection. The columns specified must be
present in columnNames
. If any alias is given for any
column name, the alias must be used, rather than the original
column name.
TTL
:
Sets the TTL of the projection specified in projectionName
.
SHARD_KEY
: Comma-separated list of the columns to be sharded
on; e.g. 'column1, column2'. The columns specified must be
present in columnNames
. If any alias is given for any
column name, the alias must be used, rather than the original
column name. The default value is ''.
PERSIST
: If true
, then the projection specified in
projectionName
will be persisted and will not expire
unless a ttl
is specified. If false
, then the
projection will be an in-memory table and will expire unless a
ttl
is specified otherwise.
Supported values:
The default value is FALSE
.
PRESERVE_DICT_ENCODING
: If true
, then columns that were
dict encoded in the source table will be dict encoded in the
projection.
Supported values:
The default value is TRUE
.
RETAIN_PARTITIONS
: Determines whether the created projection
will retain the partitioning scheme from the source table.
Supported values:
The default value is FALSE
.
PARTITION_TYPE
: Partitioning scheme to use.
Supported values:
RANGE
:
Use range partitioning.
INTERVAL
: Use interval partitioning.
LIST
:
Use list partitioning.
HASH
:
Use hash partitioning.
SERIES
: Use series partitioning.
PARTITION_KEYS
: Comma-separated list of partition keys, which
are the columns or column expressions by which records will be
assigned to partitions defined by partition_definitions
.
PARTITION_DEFINITIONS
: Comma-separated list of partition
definitions, whose format depends on the choice of partition_type
. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example formats.
IS_AUTOMATIC_PARTITION
: If true
, a new partition will
be created for values which don't fall into an existing
partition. Currently only supported for list partitions.
Supported values:
The default value is FALSE
.
VIEW_ID
: ID of view of which this projection is a member. The
default value is ''.
STRATEGY_DEFINITION
: The tier strategy for the table and its columns.
Map
.public CreateProjectionRequest setOptions(Map<String,String> options)
options
- Optional parameters.
CREATE_TEMP_TABLE
: If true
, a unique temporary
table name will be generated in the sys_temp schema and
used in place of projectionName
. If persist
is false
(or unspecified), then this is
always allowed even if the caller does not have
permission to create tables. The generated name is
returned in qualified_projection_name
.
Supported values:
The default value is FALSE
.
COLLECTION_NAME
: [DEPRECATED--please specify the
containing schema for the projection as part of projectionName
and use GPUdb.createSchema(CreateSchemaRequest)
to
create the schema if non-existent] Name of a schema for
the projection. If the schema is non-existent, it will
be automatically created. The default value is ''.
EXPRESSION
: An optional filter expression to be applied to the source
table prior to the projection. The default value is ''.
IS_REPLICATED
: If true
then the projection will
be replicated even if the source table is not.
Supported values:
The default value is FALSE
.
OFFSET
: The number of initial results to skip (this can
be useful for paging through the results). The default
value is '0'.
LIMIT
: The number of records to keep. The default
value is '-9999'.
ORDER_BY
: Comma-separated list of the columns to be
sorted by; e.g. 'timestamp asc, x desc'. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name. The
default value is ''.
CHUNK_SIZE
: Indicates the number of records per chunk
to be used for this projection.
CREATE_INDEXES
: Comma-separated list of columns on
which to create indexes on the projection. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name.
TTL
: Sets the TTL of the projection specified in
projectionName
.
SHARD_KEY
: Comma-separated list of the columns to be
sharded on; e.g. 'column1, column2'. The columns
specified must be present in columnNames
. If
any alias is given for any column name, the alias must
be used, rather than the original column name. The
default value is ''.
PERSIST
: If true
, then the projection specified
in projectionName
will be persisted and will not
expire unless a ttl
is specified. If false
, then the projection will be an in-memory table
and will expire unless a ttl
is specified
otherwise.
Supported values:
The default value is FALSE
.
PRESERVE_DICT_ENCODING
: If true
, then columns
that were dict encoded in the source table will be dict
encoded in the projection.
Supported values:
The default value is TRUE
.
RETAIN_PARTITIONS
: Determines whether the created
projection will retain the partitioning scheme from the
source table.
Supported values:
The default value is FALSE
.
PARTITION_TYPE
: Partitioning scheme to use.
Supported values:
RANGE
: Use range partitioning.
INTERVAL
: Use interval partitioning.
LIST
: Use list partitioning.
HASH
: Use hash partitioning.
SERIES
: Use series partitioning.
PARTITION_KEYS
: Comma-separated list of partition keys,
which are the columns or column expressions by which
records will be assigned to partitions defined by partition_definitions
.
PARTITION_DEFINITIONS
: Comma-separated list of
partition definitions, whose format depends on the
choice of partition_type
. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example
formats.
IS_AUTOMATIC_PARTITION
: If true
, a new
partition will be created for values which don't fall
into an existing partition. Currently only supported
for list partitions.
Supported values:
The default value is FALSE
.
VIEW_ID
: ID of view of which this projection is a
member. The default value is ''.
STRATEGY_DEFINITION
: The tier strategy for the table and its
columns.
Map
.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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