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A proof-of-concept project, allowing XML data stored in Apache Hive to be dynamically parsed into a table-like structure

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hive-xsl-udtf

Transform XML into tabular data dynamically in Hive.

Note, this project is a fork of hive-jq-udtf, which is Copyright (c) CyberAgent, Inc. All Rights Reserved.

The below is a very brief introduction. For a full set of worked example and more information, please refer to:

https://github.com/jameskrobinson/hive-xsl-udtf/wiki/Hive-XSL-UDTF-Home

Installation

  1. Build jar with maven and install target/hive-xsl-udtf-$VERSION.jar into your hive.aux.jars.path.

    mvn clean package
    
  2. CREATE FUNCTION

    CREATE FUNCTION xsltable AS 'uk.co.lowquay.hive.udtf.xsl.xslUDTF';

See Deploying Jars for User Defined Functions and User Defined SerDes section of the official Hive documentation for more deployment details.

Requirements

  • Java 1.8
  • Apache Hive >= 1.1.0
  • Saxon version 9.x
  • XSL stylesheets and / or XSD templates that correspond to your XML

Usage

###Basic usage:

  • xsltable(XML, XSL_FILE_PATH, PARAM_1...PARAM_N
  • The UDTF will execute the transformation in the XSL_FILE_PATH file for each incoming row of XML and return a single consolidated results set.
  • XSL_FILE_PATH must be local, eg /home/user/xslfile.xsl
  • Parameters are optional, and are passed to the XSL template. They are specific as 'PARAM=VALUE'
  • There are three parameters which affect the functional of the UDTF:

ROW_SEP - this lets a user specify how the UDTF should delimit results. Default is NEWLINE; COL_SEP - this lets a user specify how the UDTF should delimit field. Default is TAB; OUTPUT_FORMAT - this lets a user specify Saxon's output format; Default is text;

Example:

select 
   xsltable(xml_text,
   '/home/james_k_robinson/xsl/generic_xml_to_csv.xsl', 
   'COL_SEP=,',
   'NODE_LEVEL=EVENT',
   'DEEP_COPY=NO') 
from 
   summit.trade_xml t 
where
   t.trade_id = '123456LQ'

In this case, NODE_LEVEL and DEEP_COPY are passed to the XSL template.

Note that XSL_FILE_PATH must be a constant - you can't pass this in as a parameter (yet!)

###XSD Usage:

  • xsltable(XML, XSD_FILE_PATH, PARAM_1...PARAM_N
  • As above, except the UDTF will pre-process an XSD file and auto-generate XSL. See full details of this process here:

https://github.com/jameskrobinson/hive-xsl-udtf/wiki/Example-5.-Dynamic-schema-on-read

select 
   xsltable(xml_text,
   '/home/james_k_robinson/xsd/iso20022/camt.053.001.02.xsd', 
   'NODE_LEVEL=Ntry',
   'NODE_TYPE=ReportEntry2', 
   'DEEP_COPY=NO')
from 
   iso.camt53_xml;

Using lateral views

Lateral view is used in conjunction with user-defined table generating functions such as explode(). [...] A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. — Hive Language Manual, Lateral View

Example

select 
   t.*,
   x.* 
from 
   summit.trade_xml t 
   LATERAL VIEW xsltable(xml_text,'/home/james_k_robinson/xsl/EVENT_to_csv.xsl') x 
   where t.trade_id = '123456LQ' and x.asset_pors = 'S';

###Data conversion errors

The UDTF will attempt to handle any errors in retrieving / coverting data gracefully. An error count and error narrative is returned per row, in columns udtfrowstatus and udtfrownarrative. If udtfrowstatus = 0, no errors have occurred.

###Column headers and types Column hearder and types are specified in the XLT file, as a comment. See example below - this format must be adhered to.

<!--HiveHeaders:TradeId:string, dmOwnerTable:string, OptionOwner:string, ExpStyle:string, ExpDate:string, FirstExpDate:string, Notes:string, NoticePeriod:string -->

If no HiveHeader string is found, all fields are returned in a single string column, called col1.

Supported Hive types

  • int, bigint, float, double, boolean, string

License

All original code copyright (c) CyberAgent, Inc. All Rights Reserved. XSL templates, XSL unit tests and XSL processing extentions to the original code copyright (c) James Robinson. All Rights Reserved.

The Apache License, Version 2.0

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A proof-of-concept project, allowing XML data stored in Apache Hive to be dynamically parsed into a table-like structure

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