The Spotfire Streaming Binary File Writer For Apache HDFS is an embedded output adapter that takes tuples from a stream and writes them to a structured binary file on a connected Hadoop Distributed File System resource.
In general, you will use the HDFS Binary File Writer and HDFS Binary File Reader as an adapter pair to write a stream of tuples to a file, then read them back from that file at a different point in your application. The HDFS Binary File Reader and Writer adapters are much like the HDFS CSV File Reader and Writer adapter pair, except that reading and writing binary files is significantly faster than reading and writing text files in CSV format. You might use the HDFS Binary File Writer and Reader as part of a High Availability scenario to preserve the contents of a tuple stream to disk. As part of a failover event, the secondary server in a StreamBase Server cluster could restore the contents of a stream with a fast read of the saved file.
You can also generate an output file of binary tuple data for use as an input for a feed simulation. In this case, be sure
to use the
.bin file name extension.
When using the HDFS core libraries on Windows, you may see a console message similar to
Failed to locate the winutils binary in the hadoop binary path. The Apache Hadoop project acknowledges that this is an error to be fixed in a future Hadoop release. In the meantime, you can either ignore the error message as benign, or you can download,
build, and install the winutils executable as discussed on numerous Internet resources.
By default, an instance of the Binary File Writer adapter has a single input port.
You can add an optional Error Output Port, which outputs a StreamBase error tuple for any adapter error.
This section describes the properties you can set for this adapter, using the various tabs of the Properties view in StreamBase Studio.
In the tables in this section, the Property column shows each property name as found in the Adapter Properties tab of the Properties view for this adapter.
This section describes the properties on the General tab in the Properties view for the HDFS Binary File Writer adapter.
Name: Use this required field to specify or change the name of this instance of this component. The name must be unique within the current EventFlow module. The name can contain alphanumeric characters, underscores, and escaped special characters. Special characters can be escaped as described in . The first character must be alphabetic or an underscore.
Adapter: A read-only field that shows the formal name of the adapter.
Class name: Shows the fully qualified class name that implements the functionality of this adapter. If you need to reference this class name elsewhere in your application, you can right-click this field and select Copy from the context menu to place the full class name in the system clipboard.
Start options: This field provides a link to the Cluster Aware tab, where you configure the conditions under which this adapter starts.
Enable Error Output Port: Select this checkbox to add an Error Port to this component. In the EventFlow canvas, the Error Port shows as a red output port, always the last port for the component. See Using Error Ports to learn about Error Ports.
Description: Optionally, enter text to briefly describe the purpose and function of the component. In the EventFlow Editor canvas, you can see the description by pressing Ctrl while the component's tooltip is displayed.
Specify the name of a binary output file to write.
When using this adapter to generate binary tuple data as input for a feed simulation, use a filename with the
If this adapter is configured with a maximum file size, then this filename is appended with a counter extension if the maximum
file size is reached. For example, if you specify a file name of
The user to access the file with, if blank the currently logged in user will be used.
|Capture Transform Strategy
|The strategy to use when transforming capture fields for this operator. The FLATTEN strategy expands capture fields at the same level as non-captured fields. FLATTEN is the default and is usually sufficient. The NEST strategy expands captured fields by encapsulating them as type Tuple. Use NEST to avoid duplication of field names, at the cost of a more complex schema.
|Max File Size
|0 (no rollover)
|Maximum size, in bytes, of the file on disk. If the file reaches this limit, it is renamed with the current timestamp and new data is written to the current name specified in the File Name property.
|Max Roll Seconds
|0 (no rollover)
|The maximum number of seconds before file names are rolled over as described above.
|How often, in seconds, to force tuples to disk. Set this value to zero to flush immediately.
|Sync on flush
|Syncs operating system buffers to the file system on flush, to make sure that all changes are written. Using this options incurs a large performance penalty.
|If selected, the adapter compresses its output in gzip format.
|If File Exists
|Truncate existing file
|Action to take if the specified binary file already exists when the adapter is started: Truncate existing file, or Fail.
|Throttle Error Messages
|Only show a given error message once.
|Controls the level of verbosity the adapter uses to send notifications to the console. This setting can be higher than the containing application's log level. If set lower, the system log level will be used. Available values, in increasing order of verbosity, are: OFF, ERROR, WARN, INFO, DEBUG, TRACE.
|Buffer Size (Bytes)
|The size of the buffer to be used. If empty, the default is used.
|The required block replication for the file. If empty, the server default is used, and only used during file creation.
|Block Size (Bytes)
|The default data block size. If empty, the server default is used, and only used during file creation.
|The HDFS configuration files to use when connecting to the HDFS file system. For example, use the standard file,
Use the settings in this tab to enable this operator or adapter for runtime start and stop conditions in a multi-node cluster. During initial development of the fragment that contains this operator or adapter, and for maximum compatibility with releases before 10.5.0, leave the Cluster start policy control in its default setting, Start with module.
Cluster awareness is an advanced topic that requires an understanding of StreamBase Runtime architecture features, including clusters, quorums, availability zones, and partitions. See Cluster Awareness Tab Settings on the Using Cluster Awareness page for instructions on configuring this tab.
Use the Concurrency tab to specify parallel regions for this instance of this component, or multiplicity options, or both. The Concurrency tab settings are described in Concurrency Options, and dispatch styles are described in Dispatch Styles.
Concurrency settings are not suitable for every application, and using these settings requires a thorough analysis of your application. For details, see Execution Order and Concurrency, which includes important guidelines for using the concurrency options.
Typechecking fails in the following circumstances:
The File Name is null or zero length string.
The Flush Interval is less than zero.
The Max File Size is less than zero.
On suspend, this adapter stops processing tuples and closes the current file.
On resumption, it reopens a new output file named according to the file name rollover logic described for the File Name parameter
above, and resumes processing tuples. That is, if the output file is named
output.bin, on resumption, the new output file is named
output.bin.000001, and so on.