cgivre opened a new pull request #2359:
URL: https://github.com/apache/drill/pull/2359


   # [DRILL-8028](https://issues.apache.org/jira/browse/DRILL-8028): Add PDF 
Format Plugin
   
   ## Description
   This PR adds the capability to query data contained in PDF tables. 
   
   ## Documentation
   One of the most annoying tasks is when you are working on a data science 
project and you get data that is in a PDF file. This plugin endeavours to 
enable you to query data in
    PDF tables using Drill's SQL interface.  
   
   ## Data Model
   Since PDF files generally are not intended to be queried or read by 
machines, mapping the data to tables and rows is not a perfect process.  The 
PDF reader does support 
   provided schema. 
   
   ### Merging Pages
   The PDF reader reads tables from PDF files on each page.  If your PDF file 
has tables that span multiple pages, you can set the `combinePages` parameter 
to `true` and Drill 
   will merge all the tables in the PDF file.  You can also do this at query 
time with the `table()` function.
   
   ## Configuration
   To configure the PDF reader, simply add the information below to the 
`formats` section of a file base storage plugin. 
   
   ```json
   "pdf": {
     "type": "pdf",
     "extensions": [
       "pdf"
     ],
     "extractHeaders": true,
     "combinePages": false
   }
   ```
   The avaialable options are:
   * `extractHeaders`: Extracts the first row of any tables as the header row.  
If set to false, Drill will assign column names of `field_0`, `field_1` to each 
column.
   * `combinePages`: Merges multipage tables together.
   * `defaultTableIndex`:  Allows you to query different tables within the PDF 
file. Index starts at `0`. 
   
   
   ## Accessing Document Metadata Fields
   PDF files have a considerable amount of metadata which can be useful for 
analysis.  Drill will extract the following fields from every PDF file.  Note 
that these fields are not
    projected in star queries and must be selected explicitly.  The document's 
creator populates these fields and some or all may be empty. With the exception 
of `_page_count
    ` which is an `INT` and the two date fields, all the other fields are 
`VARCHAR` fields.
    
    The fields are:
    * `_page_count`
    * `_author`
    * `_title`
    * `_keywords`
    * `_creator`
    * `_producer`
    * `_creation_date`
    * `_modification_date`
    * `_trapped`
    * `_table_count`
    
    The query below will access a document's metadata:
    
    ```sql
   SELECT _page_count, _title, _author, _subject, 
   _keywords, _creator, _producer, _creation_date, 
   _modification_date, _trapped 
   FROM dfs.`pdf/20.pdf`
   ```
   The query below demonstrates how to define a schema at query time:
   
   ```sql
   SELECT * FROM table(cp.`pdf/schools.pdf` (type => 'pdf', combinePages => 
true, 
   schema => 'inline=(`Last Name` VARCHAR, `First Name Address` VARCHAR, 
   `field_0` VARCHAR, `City` VARCHAR, `State` VARCHAR, `Zip` VARCHAR, 
   `field_1` VARCHAR, `Occupation Employer` VARCHAR, 
   `Date` VARCHAR, `field_2` DATE properties {`drill.format` = `M/d/yyyy`}, 
   `Amount` DOUBLE)')) 
   LIMIT 5
   ```
   
   ## Testing
   Added unit tests


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