hbspark.table.Table.Batch

Method	`__init__`	Creates a new batch processor for a `hbspark.table.Table` instance.
Method	`delete`	Load a new delete operation into the batch.
Method	`put`	Load a new put operation into the batch.
Method	`send`	Send all of the pending changes loaded into the batch process.
Instance Variable	`_hb_batch`	The corresponding Happybase batch processesor.

def __init__(self, hb_batch):

Creates a new batch processor for a hbspark.table.Table instance.

Should only be initialized through hbspark.table.Table.batch and not called by the user separately.

Parameters
hb_batch:happybase.Batch	The `happybase` batch link that allows batch operations on the current table.
Returns
`hbspark.table.Table.Batch`	A new instance of the batch processor.

def delete(self, rowkey, column=None, wal=None):

Load a new delete operation into the batch.

The column payload should have the following structure:

    column = ["cf_x:col_x", ...]

Parameters
rowkey:string	The rowkey targeting the row to be deleted.
column:list	The list of column names to be deleted.
wal:bool	Whether or not to insert into the WAL for HBase.
Returns
None	Method does not return.

def put(self, rowkey, data, wal=None):

Load a new put operation into the batch.

The data payload should have the following structure:

    data = {
        "cf_x:col_x" : "value",
        ...
    }

Parameters
rowkey:string	The rowkey for the new inserted row.
data:dict	The dictionary mapping `cf:col` to values to be stored.
wal:bool	Whether or not to write to the WAL of HBase.
Returns
None	Method does not return.

def send(self):

Send all of the pending changes loaded into the batch process.

Returns
None	Method does not return.

_hb_batch =

The corresponding Happybase batch processesor.