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.
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.projectionName
- Name of the projection to be created. Has the
same naming restrictions as tables.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.
COLLECTION_NAME
: Name of a collection to which the projection is
to be assigned as a child. If the collection provided is
non-existent, the collection will be automatically
created. If empty, then the projection will be at the
top level. 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
.
LIMIT
: The number of records to keep. The default
value is ''.
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 ''.
MATERIALIZE_ON_GPU
: If true
then the columns of
the projection will be cached on the GPU.
Supported values:
The default value is FALSE
.
CHUNK_SIZE
: Indicates the chunk size to be used for
this table.
CREATE_INDEXES
: Comma-separated list of columns on
which to create indexes on the output table. 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 table.
Supported values:
The default value is FALSE
.
VIEW_ID
: view this projection is part of. The default
value is ''.
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.this
to mimic the builder pattern.public String getProjectionName()
public CreateProjectionRequest setProjectionName(String projectionName)
projectionName
- Name of the projection to be created. Has the
same naming restrictions as tables.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()
COLLECTION_NAME
: Name of a collection to which the projection is to be
assigned as a child. If the collection provided is non-existent,
the collection will be automatically created. If empty, then the
projection will be at the top level. 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
.
LIMIT
:
The number of records to keep. The default value is ''.
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 ''.
MATERIALIZE_ON_GPU
: If true
then the columns of the
projection will be cached on the GPU.
Supported values:
The default value is FALSE
.
CHUNK_SIZE
: Indicates the chunk size to be used for this table.
CREATE_INDEXES
: Comma-separated list of columns on which to
create indexes on the output table. 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 table.
Supported values:
The default value is FALSE
.
VIEW_ID
: view this projection is part of. The default value is
''.
Map
.public CreateProjectionRequest setOptions(Map<String,String> options)
options
- Optional parameters.
COLLECTION_NAME
: Name of a collection to which the projection is
to be assigned as a child. If the collection provided is
non-existent, the collection will be automatically
created. If empty, then the projection will be at the
top level. 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
.
LIMIT
: The number of records to keep. The default
value is ''.
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 ''.
MATERIALIZE_ON_GPU
: If true
then the columns of
the projection will be cached on the GPU.
Supported values:
The default value is FALSE
.
CHUNK_SIZE
: Indicates the chunk size to be used for
this table.
CREATE_INDEXES
: Comma-separated list of columns on
which to create indexes on the output table. 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 table.
Supported values:
The default value is FALSE
.
VIEW_ID
: view this projection is part of. The default
value is ''.
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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