- Preface
- 1. Introduction to Apache Drill
- 2. Installing and Running Drill
- 3. Overview of Apache Drill
- 4. Querying Delimited Data
- 5. Analyzing Complex and Nested Data
- 6. Connecting Drill to Data Sources
- Querying Multiple Data Sources
- Configuring a New Storage Plug-in
- Connecting Drill to a Relational Database
- Querying Data in Hadoop from Drill
- Connecting to and Querying HBase from Drill
- Querying Hive Data from Drill
- Connecting to and Querying Streaming Data with Drill and Kafka
- Connecting to and Querying Kudu
- Connecting to and Querying MongoDB from Drill
- Connecting Drill to Cloud Storage
- Querying Time Series Data from Drill and OpenTSDB
- Conclusion
- Querying Multiple Data Sources
- 7. Connecting to Drill
- 8. Data Engineering with Drill
- 9. Deploying Drill in Production
- 10. Setting Up Your Development Environment
- 11. Writing Drill User-Defined Functions
- 12. Writing a Format Plug-in
- The Example Regex Format Plug-in
- Creating the “Easy” Format Plug-in
- Creating the Regex Plug-in Configuration Class
- Creating the Format Plug-in Class
- The Record Reader
- Testing the Reader Shell
- Logging
- Error Handling
- Setup
- Regex Parsing
- Defining Column Names
- Projection
- Column Projection Accounting
- Project None
- Project All
- Project Some
- Opening the File
- Record Batches
- Drill’s Columnar Structure
- Defining Vectors
- Reading Data
- Loading Data into Vectors
- Releasing Resources
- Testing the Reader
- Additional Details
- Conclusion
- 13. Unique Uses of Drill
- A. List of Drill Functions
- B. Drill Formatting Strings
- Index
Learning Apache Drill
Query and Analyze Distributed Data Sources with SQL
Charles Givre and Paul Rogers
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