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Overview

Use the HDFS ZipFile Write Snap to read in-coming data and write it to a ZIP file in an HDFS directory. This Snap also enables you to specify file access permissions for the new ZIP file. You can also configure how the Snap handles the new ZIP file if the destination directory already has another ZIP file with the same name.

For the HDFS protocol, use a SnapLogic on-premises Groundplex and ensure that its instance is within the Hadoop cluster and that SSH authentication is established.

The HDFS protocol supported by this Snap is HDFS 2.4.0.

Expected Input and Output

Expected Input: Binary data stream containing documents to be written to a ZIP file.
Expected Output: Zipped file containing the incoming documents.
Expected Upstream Snaps: Required. Any Snap that offers binary data in its output view. Examples: JSON Formatter, HDFS Reader, File Reader.
Expected Downstream Snaps: Any Snap that takes document data as input. Examples: Mapper, HDFS Reader.

Prerequisites

The user executing the Snap must have Write permissions on the concerned directory.

Configuring Accounts

This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See Hadoop Accounts for information on setting up this type of account.

Configuring Views

Input	This Snap has at least one document input view.
Output	This Snap has at most one document output view.
Error	This Snap has at most one document error view.

Troubleshooting

None at this time.

Limitations and Known Issues

None at this time.

Modes

Ultra Pipelines: Works in Ultra Pipelines.
Spark Mode: Supports Spark mode.

Snap Settings

Label	Required. The name for the Snap. Modify this to be more specific, especially if there are more than one of the same Snap in the pipeline.
Directory	The URL for the data source (directory). The Snap supports both HFDS and ABFS(S) protocols. Syntax for a typical HDFS URL: Syntax for a typical ABFS and an ABFSS URL: When you use the ABFS protocol to connect to an endpoint, the account name and endpoint details provided in the URL override the corresponding values in the Account Settings fields. With the ABFS protocol, SnapLogic creates a temporary file to store the incoming data. Therefore, the hard drive where the JCC is running should have enough space to temporarily store all the account data coming in from ABFS. Default value: [None]
File	The relative path and name of the file that must be created post execution. Example: sample.zip tmp/another.zip $filename Default value: [None]
User Impersonation	Select this check box to enable user impersonation. For encryption zones, use user impersonation. Default value: Not selected For more information on working with user impersonation, click the link below. User Impersonation Details Generic User Impersonation Behavior When the User Impersonation check box is selected, and Kerberos is the account type, the Client Principal configured in the Kerberos account impersonates the pipeline user. When the User Impersonation option is selected, and Kerberos is not the account type, the user executing the pipeline is impersonated to perform HDFS Operations. For example, if the user logged into the SnapLogic platform is operator@snaplogic.com, the user name "operator" is used to proxy the super user. User impersonation behavior on pipelines running on Groundplex with a Kerberos account configured in the Snap When the User Impersonation checkbox is selected in the Snap, it is the pipeline user who performs the file operation. For example, if the user logged into the SnapLogic platform is operator@snaplogic.com, the user name "operator" is used to proxy the super user. When the User Impersonation checkbox is not selected in the Snap, the Client Principal configured in the Kerberos account performs the file operation. For non-Kerberised clusters, you must activate Superuser access in the Configuration settings. HDFS Snaps support the following accounts: Azure storage account Azure Data Lake account Kerberos account No account When an account is configured with an HDFS Snap, user impersonation settings have no impact on all accounts, except the Kerberos account.
File Action	Required. Use this field to specify what you want the Snap to do if the file you want it to create already exists. Available options are: Overwrite, Ignore, and Error. Overwrite: If the target file exists, the Snap overwrites the file. Ignore: If the file already exists, the Snap neither throws an exception nor does it overwrite the file, but creates an output document indicating that the new data has been ignored. Error: The error displays in the Pipeline Run Log if the file already exists. Default value: Overwrite
File Permissions	File permission sets to be assigned to the file. To assign file permissions: Click the + button against File permissions. This adds a row to the fieldset. Click the Suggestible icon in the User type field and select the user type for which you want to enable access. This drop-down offers the following options: Owner: This is the user account under whose name the new file will be created. Group: This is the user group to which the user being impersonated belongs. Others: These are all other users who have at least Read access to the concerned directory. Click the Suggestible icon in the File permissions field and select the permission you want to enable for the user type selected in the User type field.
Base directory	Enter here the name of the root directory in the ZIP file.
Use input view label	If selected, the input view label is used for all names of the files added to the zip file. Otherwise, the input view ID is used instead, when input the binary stream does not have its content-location in its header. When this option is selected, if there are more than one binary input streams in an input view, for the second input stream and after, the file names will be the input view label appended with '_n'. If the label is in the format of 'name.ext', '_n' will be append to the 'name', e.g. name_2.ext for the second input stream. Example: If this option is selected, if Base directory is testFolder and the input view label is test.csv, the file name for the first binary input stream in that input view will be testFolder/test.csv, and the second, testFolder/test_2.csv, and the third, testFolder/test_3.csv, and so on. Default value: Not selected
Snap execution	Select one of the three modes in which the Snap executes. Available options are: Validate & Execute: Performs limited execution of the Snap, and generates a data preview during Pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime. Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data. Disabled: Disables the Snap and all Snaps that are downstream from it.

The binary document header content-location of the HDFS ZipFile Writer input is the name within the ZIP file. (Example: foo.txt). The Snap does not include the 'base directory'. It could contain subdirectories though. On the other hand, the binary document header content-location of the output of the HDFS ZipFile Reader is the name of the ZIP file, the base directory, and the content location provided to the writer. Thus, while each Snap works well independent of each other, it's currently not possible to have a Reader > Writer > Reader combination in a pipeline without using other intermediate Snaps to provide the binary document header information.

Troubleshooting

Writing to S3 files with HDFS version CDH 5.8 or later

When running HDFS version later than CDH 5.8, the Hadoop Snap Pack may fail to write to S3 files. To overcome this, make the following changes in the Cloudera manager:

Go to HDFS configuration.
In Cluster-wide Advanced Configuration Snippet (Safety Valve) for core-site.xml, add an entry with the following details:
- Name: fs.s3a.threads.max
- Value: 15
Click Save.
Restart all the nodes.
Under Restart Stale Services, select Re-deploy client configuration.
Click Restart Now.

Examples

Writing and Reading a ZIP File in HDFS

The first part of this example demonstrates how you can use the HDFS ZipFile Write Snap to zip and write a new file into HDFS. The second part of this example demonstrates how you can unzip and check the contents of the newly-created ZIP file.

Click here to download this pipeline. You can also downloaded this pipeline from the Downloads section below.

Understanding the Sample Pipeline

Create the pipeline as shown below:

The Hadoop Directory Browser Snap

Use a Hadoop Directory Browser Snap to first check the contents of the target directory. This will help you check whether the new file got added to the HDFS directory as expected, later in the example.

Enter the Directory URL as appropriate and specify the File filter as *.zip. This instructs the Snap to list out all the ZIP files in the target directory.

If the Snap executes as expected, you should see the contents of your target directory, as shown below:

Generating a File for Upload

You now need to choose a file to upload into the target directory. You could either select a file directly or use a JSON Generator Snap coupled with a JSON Formatter Snap, as in the example pipeline.

The HDFS ZipFile Writer Snap

Your file is now ready. Configure the HDFS ZipFile Writer Snap to upload the file as a ZIP file into the target directory in HDFS, as shown below.

The Hadoop Directory Browser Snap

Use a Copy Snap to perform two tasks after the ZIP file is created: first, to check whether the new file was created as expected and second, to try and read the contents to the newly-created ZIP file from the target HDFS directory.

To check whether the new file was created, add an HDFS Directory Browser Snap to the pipeline.

If the ZIP file was created, you should see it in the output, as shown below:

HDFS ZipFile Reader

Once you have confirmed that the new ZIP file has been created, use the HDFS ZipFile Reader Snap to read the new ZIP file. If the contents of the new ZIP file is the same as the contents of the input file, you know that the pipeline works!

To read the output of the HDFS ZipFile Read Snap, use a File Reader Snap:

If the contents of the new file is the same as the contents of the original file, you know the example works.

Click here to download this Pipeline. You can also downloaded this pipeline from the Downloads section below.

Downloads

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Release	Snap Pack Version	Date	Type	Updates
November 2024	main29029	13 Nov 2024	Stable	Updated and certified against the current SnapLogic Platform release.
August 2024	main27765	21 Aug 2024	Stable	Upgraded the `org.json.json` library from v20090211 to v20240303, which is fully backward compatible.
May 2024	437patches27226	30 Jul 2024	-	The upgrade of the Azure Storage library from v3.0.0 to v8.3.0 has impacted the Hadoop Snap Pack causing the following issue when using the WASB protocol. Known Issue When you use invalid credentials for the WASB protocol in Hadoop Snaps (HDFS Reader, HDFS Writer, ORC Reader, Parquet Reader, Parquet Writer), the pipeline does not fail immediately, instead it takes 13-14 minutes to display the following error: reason=The request failed with error code null and HTTP code 0. , status_code=error SnapLogic® is actively working with Microsoft®Support to resolve the issue. Learn more about the Azure Storage Library Upgrade.
May 2024	437patches27471	29 Jul 2024	Latest	Fixed a resource leak issue with the following Hadoop Snaps, which involved too many stale instances of `ProxyConnectionManager` and significantly impacted memory utilization. Parquet Reader Parquet Writer ORC Reader ORC Writer HDFS ZipFile Reader HDFS ZipFile Writer
May 2024	437patches26370	22 May 2024	Latest	Enhanced the HDFS Writer Snap with the Write empty file checkbox to enable you to write an empty or a 0-byte file to all the supported protocols that are recognized and compatible with the target system or destination.
May 2024	main26341	08 May 2024	Stable	The Azure Data Lake Account has been removed from the Hadoop Snap Pack because Microsoft retired the Azure Data Lake Storage Gen1 protocol on February 29, 2024. We recommend replacing your existing Azure Data Lake Accounts (in Binary or Hadoop Snap Packs) with other Azure Accounts.
February 2024	436patches25902	10 Apr 2024	Latest	Fixed a memory management issue in the HDFS Writer, HDFS ZipFile Writer, ORC Writer, and Parquet Writer Snaps, which previously caused out-of-memory errors when multiple Snaps were used in the pipeline. The Snap now conducts a pre-allocation memory check, dynamically adjusting the write buffer size based on available memory resources when writing to ADLS.
February 2024	435patches25410	06 Mar 2024	Latest	Enhanced the AWS S3 Account for Hadoop with an External ID that enables you to access Hadoop resources securely.
February 2024	main25112	14 Feb 2024	Stable	Updated and certified against the current SnapLogic Platform release.
November 2023	435patches23904	20 Nov 2023	Latest	Fixed an issue with the Parquet Writer Snap that displayed an error `Failed to write parquet data` when the decimal value passed from the second input view exceeded the specified scale. Fixed an issue with the Parquet Writer Snap that previously failed to handle the conversion of BigInt/int64 (larger numbers) after the 4.35 GA now converts them accurately.
November 2023	435patches23780	15 Nov 2023	Latest	Fixed an issue related to error routing to the output view. Also fixed a connection timeout issue.
November 2023	main23721	08 Nov 2023	Stable	Updated and certified against the current SnapLogic Platform release.
August 2023	434patches23173	11 Oct 2023	Latest	Enhanced the Parquet Writer Snap with a Decimal Rounding Mode dropdown list to enable the rounding method for decimal values when the number exceeds the required decimal places.
August 2023	434patches22662	25 Aug 2023	Latest	Enhanced the Parquet Writer Snap with the support for LocalDate and DateTime. The Snap now shows the schema suggestions for LocalDate and DateTime correctly. Enhanced the Parquet Reader Snap with the Use datetime types checkbox that supports LocalDate and DateTime datatypes. Behavior change: When you select the Use datetime types checkbox in the Parquet Reader Snap, the Snap displays the LocalDate and DateTime in the output for INT32 (DATE) and INT64 (TIMESTAMP_MILLIS) columns. When you deselect this checkbox, the columns retain the previous datatypes and display `string` and `integer` values in the output.
August 2023	main22460	16 Aug 2023	Stable	Updated and certified against the current SnapLogic Platform release.
May 2023	433patches22180	08 Aug 2023	Latest	Introduced the HDFS Delete, which deletes the specified file, group of files, or directory from the supplied path and protocol in the Hadoop Distributed File System (HDFS).
May 2023	433patches21494	14 Jun 2023	Latest	The Hadoop Directory Browser Snap now returns all the output documents as expected after implementing pagination for the ABFS protocol.
May 2023	main21015	10 May 2023	Stable	Upgraded with the latest SnapLogic Platform release.
February 2023	432patches20820	28 Apr 2023	Latest	Fixed an authorization issue that occurs with the Parquet Writer Snap when it receives empty document input.
February 2023	432patches20209	31 Mar 2023	Latest	The Apache Commons Compress library has been upgraded to version 1.22.
February 2023	432patches20139	09 Mar 2023	Latest	The Kerberos Account that is available for a subset of snaps in the Hadoop Snap pack now supports a configuration that enables you to read from and write to the Hadoop Distributed File System (HDFS) managed by multiple Hadoop clusters. You can specify the location of the Hadoop configuration files in the Hadoop config directory field. The value in this field overrides the value that is set on the Snaplex system property used for configuring a single cluster.
February 2023	main19844	09 Feb 2023	Stable	Upgraded with the latest SnapLogic Platform release.
November 2022	main18944	10 Nov 2022	Stable	The AWS S3 and S3 Dynamic accounts now support a maximum session duration of an IAM role defined in AWS.
August 2022	main17386	11 Aug 2022	Stable	Extended the AWS S3 Dynamic Account support to ORC Reader and ORC Writer Snaps to support AWS Security Token Service (STS) using temporary credentials.
4.29 Patch	429patches16630	21 Jul 2022	Latest	Extended the AWS S3 Dynamic Account support to ORC Reader and ORC Writer Snaps to support AWS Security Token Service (STS) using temporary credentials. Fixed an issue in the following Snaps that use AWS S3 dynamic account, where the Snaps displayed the security credentials like Access Key, Secret Key, and Security Token in the logs. Now, the security credentials in the logs are blurred for the Snaps that use AWS S3 dynamic account. ORC Reader ORC Writer Parquet Reader Parquet Writer
4.29	main15993	14 May 2022	Stable	Enhanced the AWS S3 Account for Hadoop account to include the S3 Region field that allows cross-region or proxied cross-region access to S3 buckets in the Parquet Reader and Parquet Writer Snaps.
4.28 Patch	428patches15216	23 Mar 2022	Latest	Added the AWS S3 Dynamic account for Parquet Reader and Parquet Writer Snaps.
4.28	main14627	12 Feb 2022	Stable	Upgraded with the latest SnapLogic Platform release.
4.27 Patch	427patches13769	25 Jan 2022	Latest	Fixed an issue with the Hadoop Directory Browser Snap where the Snap was not listing the files in the given directory for Windows VM.
4.27 Patch	427patches12999	23 Nov 2021	Latest	Enhanced the Parquet Reader Snap with int96 As Timestamp checkbox, which when selected enables the Date Time Format field. You can use this field to specify a date-time format of your choice for int96 data-type fields. The int96 As Timestamp checkbox is available only when you deselect Use old data format checkbox.
4.27	main12833	13 Nov 2021	Stable	Enhanced the Parquet Writer and Parquet Reader Snaps with Azure SAS URI properties, and Azure Storage Account for Hadoop with SAS URI Auth Type. This enables the Snaps to consider SAS URI given in the settings if the SAS URI is selected in the Auth Type during account configuration.
4.26	426patches12288	19 Oct 2021	Latest	Fixed a memory leak issue when using HDFS protocol in Hadoop Snaps.
4.26	main11181	14 Aug 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.25 Patch	425patches9975	07 Jun 2021	Latest	Fixed the dependency issue in Hadoop Parquet Reader Snap while reading from AWS S3. The issue is caused due to conflicting definitions for some of the AWS classes (dependencies) in the classpath.
4.25	main9554	08 May 2021	Stable	Enhanced the HDFS Reader and HDFS Writer Snaps with the Retry mechanism that includes the following settings: Number of Retries: Specifies the maximum number of retry attempts when the Snap fails to connect to the Hadoop server. Retry Interval (seconds): Specifies the minimum number of seconds the Snap must wait before each retry attempt.
4.24 Patch	424patches9262	26 Apr 2021	Latest	Enhanced the AWS S3 Account for Hadoop to support role-based access when you select IAM role checkbox.
4.24 Patch	424patches8876	11 Mar 2021	Latest	Fixes the missing library error in Hadoop Snap Pack when running Hadoop Pipelines in JDK11 runtime.
4.24	main8556	13 Feb 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.23 Patch	423patches7440	01 Dec 2020	Latest	Fixes the issue in HDFS Reader Snap by supporting to read and write files larger than 2GB using ABFS(S) protocol.
4.23	main7430	14 Nov 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.22	main6403	12 Sep 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.21 Patch	hadoop8853	28 May 2020	Latest	Updates the Parquet Writer and Parquet Reader Snaps to support the yyyy-MM-dd format for the DATE logical type.
4.21	snapsmrc542	09 May 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.20 Patch	hadoop8776	30 Mar 2020	Latest	Updates the Hadoop Snap Pack to use the latest version of org.xerial.snappy:snappy-java for compression type Snappy, in order to resolve the java.lang.UnsatisfiedLinkError: org.xerial.snappy.SnappyNative.maxCompressedLength(I)I error.
4.20	snapsmrc535	08 Feb 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.19 Patch	hadoop8270	23 Dec 2019	Latest	Fixes an issue with the Hadoop Parquet Writer Snap wherein the Snap throws an exception when the input document includes one or all of the following: Empty lists. Lists with all null values. Maps with all null values.
4.19	snaprsmrc528	14 Nov 2019	Stable	Upgraded with the latest SnapLogic Platform release.
4.18 Patch	hadoop8033	15 Oct 2019	Latest	Fixed an issue with the Parquet Writer Snap wherein the Snap throws an error when working with WASB protocol.
4.18	snapsmrc523	10 Aug 2019	Stable	Added ADLS Gen2 support for ABFS (Azure Blob File System) and ABFSS protocols to the HDFS ZipFile Reader, HDFS ZipFile Writer, HDFS Reader, ORC Reader, Parquet Reader, and Hadoop Directory Browser Snaps. Added ADLS Gen2 support for ABFS (Azure Blob File System) and ABFSS protocols.
4.17	ALL7402	11 Jun 2019	Latest	Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.
4.17	snapsmrc515	11 Jun 2019	Latest	Added the Snap Execution field to all Standard-mode Snaps. In some Snaps, this field replaces the existing Execute during preview check box.
4.16	snapsmrc508	16 Feb 2019	Stable	Added a new property, Output for each file written, to handle multiple binary input data in the HDFS Writer Snap.
4.15	snapsmrc500	15 Dec 2018	Stable	Added two new Snaps: HDFS ZipFile Reader and HDFS ZipFile Writer. Added support for the Data Catalog Snaps in Parquet Reader and Parquet Writer Snaps.
4.14 Patch	hadoop5888	02 Oct 2018	Latest	Fixed an issue wherein the Hadoop snaps were throwing an exception when a Kerberized account is provided, but the snap is run in a non-kerberized environment.
4.14	snapsmrc490	11 Aug 2018	Stable	Added the Hadoop Directory Browser Snap, which browses a given directory path in the Hadoop file system using the HDFS protocol and generates a list of all the files in the directory. It also lists subdirectories and their contents. Added support for S3 file protocol in the ORC Reader, and ORC Writer Snaps. Added support for reading nested schema in the Parquet Reader Snap.
4.13 Patch	hadoop5318	21 Jun 2018	Latest	Fixed the HDFS Reader/Writer and Parquet Reader/Writer Snaps, wherein Hadoop configuration information does not parse from the client's configuration files. Fixed the HDFS Reader/Writer and Parquet Reader/Writer Snaps, wherein User Impersonation does not work on Hadooplex.
4.13	snapsmrc486	12 May 2018	Stable	KMS encryption support added to AWS S3 account in the Hadoop Snap Pack. Enhanced the Parquet Reader, Parquet Writer, HDFS Reader, and HDFS Writer Snaps to support WASB and ADLS file protocols. Added the AWS S3 account support to the Parquet Reader and Writer Snaps. Added second input view to the Parquet Reader Snap that when enabled, accepts table schema. Supported with AWS S3, Azure Data Lake, and Azure Storage Accounts.
4.12 Patch	hadoop5132	20 Nov 2017	Latest	Fixed an issue with the HDFS Reader Snap wherein the pipeline becomes stale while writing to the output view.
4.12	snapsmrc480	17 Feb 2018	Stable	Upgraded with the latest SnapLogic Platform release.
4.11 Patch	hadoop4275		Latest	Addressed an issue with Parquet Reader Snap leaking file descriptors (connections to HDFS data nodes). The Open File descriptor values work stable now,
4.11	snapsmrc465	11 Nov 2017	Stable	Added Kerberos support to the standard mode Parquet Reader and Parquet Writer Snaps.
4.10 Patch	hadoop4001	29 Sep 2017	Latest	Supported HDFS Writer to write to the encryption zone.
4.10 Patch	hadoop3887	14 Sep 2017	Latest	Addressed the suggest issue for the HDFS Reader on Hadooplex.
4.10 Patch	hadoop3851	01 Sep 2017	Latest	ORC supports read/write from local file system. Addressed an issue to bind the Hive Metadata to Parquet Writer Schema at Runtime.
4.10 Patch	hadoop3838	23 Aug 2017	Latest	Made HDFS Snaps work with Zone encrypted HDFS.
4.10	snapsmrc414	12 Aug 2017	Stable	Updated the Parquet Writer Snap with Partition by property to support the data written into HDFS based on the partition definition in the schema in Standard mode. Support for S3 accounts with IAM Roles added to Parquet Reader and Parquet Writer HDFS Reader/Writer with Kerberos support on Groundplex (including user impersonation).
4.9 Patch	hadoop3339	25 Jul 2017	Latest	Addressed the following issues: ORC Reader passing, but ORC Writer failing when run on a Cloudplex. ORC Reader Snap is not routing error to error view. Intermittent failures with the ORC Writer
4.9.0 Patch	hadoop3020	22 May 2017	Latest	Added missing dependency org.iq80.snappy:snappy to Hadoop Snap Pack.
4.9	snapsmrc405	13 May 2017	Stable	Upgraded with the latest SnapLogic Platform release.
4.8	snapsmrc398	11 Feb 2017	Stable	Snap-aware error handling policy enabled for Spark mode in Sequence Formatter and Sequence Parser. This ensures the error handling specified on the Snap is used.
4.7.0 Patch	hadoop2343	21 Dec 2016	Latest	Spark Validation: Resolved an issue with validation failing when setting the output file permissions.
4.7	snapsmrc382	23 Nov 2016	Stable	Updated the HDFS Writer and HDFS Reader Snaps with Azure Data Lake account for standard mode pipelines. HDFS Writer: Spark mode support added to write to a specified directory in an Azure Storage Layer using the wasb file system protocol. HDFS Reader: Spark mode support added to read a single file or an HDFS directory from an Azure Storage Layer.
4.6	snapsmrc362	13 Aug 2016	Stable	The following Snaps now support error view in Spark mode: HDFS Reader, Sequence Parser. Resolved an issue in HDFS Writer Snap that sends the same data in output & error view.
4.5	snapsmrc344	18 May 2016	Stable	HDFS Reader and HDFS Writer Snaps updated to support IAM Roles for Amazon EC2. Support for Spark mode added to Parquet Reader, Parquet Writer The HBase Snaps are no longer available as of this release.
4.4.1		18 Mar 2016	Stable	Resolved an issue with Sequence Formatter not working in Spark mode. Resolved an issue with HDFSReader not using the filter set when configuring SparkExec paths.
4.4		13 Feb 2016	Stable	NEW! Parquet Reader and Writer Snaps NEW! ORC Reader and Writer Snaps Spark support added to the HDFS Reader, HDFS Writer, Sequence Formatter, and Sequence Parser Snaps. Behavior change: HDFS Writer in SnapReduce mode now requires the File property to be blank.
4.3.2		15 Jan 2016	Stable	Implemented wasbs:// protocol support in Hadoop Snap Pack. Resolved an issue with HDFS Reader unable to read all files under a folder (including all files under its subfolders) using the ** filter.