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All Examples

  1. Add Array Fields to Entities Schema DataPipeline Foundations
  2. Add Attributes and Tags to Schemas Schema DataPipeline Foundations
  3. Add Calculated Fields to a Decision Table Calculated Field DataPipeline Foundations Decision Table
  4. Add Calculated Fields to a Decision Tree Calculated Field Decision Tree DataPipeline Foundations
  5. Add Indexes to Entities Schema DataPipeline Foundations
  6. Add Jira Comments Jira
  7. Add Nested Entities as Fields Schema DataPipeline Foundations
  8. Add Non-Persistent Data to Records and Fields In-Memory Out-of-band data
  9. Add Primary Keys to Entities Schema DataPipeline Foundations
  10. Add Relationship Between Entities Schema DataPipeline Foundations
  11. Add a Decision Table to a Pipeline DataPipeline Foundations Decision Table
  12. Add a Decision Tree to a Pipeline Decision Tree DataPipeline Foundations
  13. Add a Sequence Number Column Transform Assign Field Calculated Field
  14. Add a Sequence Number Column for Repeat Values Transform Assign Field Calculated Field
  15. Add a Sequence Number Column when Values Change Transform Assign Field Calculated Field
  16. Add my own Functions Expression Language Assign Field Customize Functions
  17. Automatically Map Data And Exclude Fields Declaratively Declarative Data Mapping DataPipeline Foundations Version 8.1.0 XML
  18. Blacklist and Whitelist Functions in DP Expression Language Expression Language Customize Functions
  19. Buffer Records by Time Period or Count Streaming data
  20. Build DataMappingPipeline Declaratively from Json Declarative JSON Data Mapping DataPipeline Foundations
  21. Build DataMappingPipeline Declaratively from XML Declarative Data Mapping DataPipeline Foundations XML
  22. Build DataMappingPipeline Programmatically Data Mapping DataPipeline Foundations
  23. Cache Lookup Values Transform Lookup JDBC Cache
  24. Capture Data Not Joined in a Lookup Lookup
  25. Capture Data that Failed Data Mapping Validation Data Mapping DataPipeline Foundations
  26. Compare Records Using Diff Diff DataPipeline Foundations
  27. Compare Schemas Using Diff Diff Schema DataPipeline Foundations
  28. Compile and Run a Job Fixed Width CSV Job management
  29. Compress a Parquet File Parquet
  30. Compress an Orc File ORC
  31. Conditionally Map Data Field from Source to Target Data Mapping DataPipeline Foundations
  32. Conditionally Transform Data Transform Assign Field Filter JSON Simple
  33. Conditionally Write to Multiple Files Transform Multi-writer Threading
  34. Conditionally map Data from Source to Target Data Mapping DataPipeline Foundations
  35. Configure AmazonS3FileSystem Using Client Amazon S3
  36. Configure the Insert Strategy used in JdbcMultiWriter JDBC JDBC Multi-Writer Version 8.1.0 JDBC Insert Strategy
  37. Continue After an Error Exceptions
  38. Convert JSON to CSV CSV JSON Conversion Simple
  39. Convert JSON to Parquet JSON Conversion Parquet
  40. Convert Unstructured JSON to Parquet JSON Conversion Parquet
  41. Convert a Single Source DataReader into Many JSON Conversion Simple Avro Threading XML
  42. Copy a Field Transform Copy Field
  43. Create Custom Pipeline Action Pipeline Customize DataPipeline Foundations
  44. Create Custom Pipeline Input Pipeline DataPipeline Foundations
  45. Create Custom Pipeline Output Pipeline DataPipeline Foundations
  46. Create Jira Issue Jira
  47. Create a JsonPipelineInput Declaratively From Xml Declarative Pipeline DataPipeline Foundations XML
  48. Create a JsonPipelineInput Declaratively from JSON Declarative JSON Pipeline DataPipeline Foundations
  49. Create a JsonPipelineInput Programmatically Pipeline DataPipeline Foundations
  50. Create an XmlPipelineInput Declaratively From Xml Declarative Pipeline DataPipeline Foundations XML
  51. Create an XmlPipelineInput Declaratively from Json Declarative JSON Pipeline DataPipeline Foundations
  52. Create an XmlPipelineInput Programmatically Pipeline DataPipeline Foundations
  53. Debug my Code Debug
  54. Declaratively Map Data Declarative Data Mapping DataPipeline Foundations
  55. Declaratively Map Data Using Positions Declarative Data Mapping DataPipeline Foundations
  56. Declaratively Map Data with Source and Target Schema Declarative Schema Data Mapping DataPipeline Foundations
  57. Declaratively Map XML Files Declarative Data Mapping DataPipeline Foundations XML
  58. Declaratively Set Default Values for Missing Data Declarative Schema DataPipeline Foundations
  59. Declaratively Transform Records using Schema Declarative Schema DataPipeline Foundations
  60. Delete Jira Issue Jira
  61. Detect Date and Time Patterns in Strings DataPipeline Foundations Analyze Data
  62. Detect Numbers in Strings DataPipeline Foundations Analyze Data
  63. Detect Primary Keys In a Dataset Schema Dataset DataPipeline Foundations
  64. Evaluate a Decision Table DataPipeline Foundations Decision Table
  65. Evaluate a Decision Table with Lookup Lookup DataPipeline Foundations Decision Table
  66. Evaluate a Decision Tree Decision Tree DataPipeline Foundations
  67. Evaluate a Decision Tree with Lookup Lookup Decision Tree DataPipeline Foundations
  68. Execute an Action in a Decision Table DataPipeline Foundations Decision Table
  69. Execute an Action in a Decision Tree Decision Tree DataPipeline Foundations
  70. Extract Bigrams, Trigrams, and Ngrams Transform Analyze Data XML
  71. Filter Columns with All Null Values Pipeline DataPipeline Foundations
  72. Filter Json Records in a Pipeline Filter Pipeline DataPipeline Foundations
  73. Filter Json Records in a Pipeline Declaratively from Json Declarative Filter JSON Pipeline DataPipeline Foundations
  74. Filter Json Records in a Pipeline Declaratively from Xml Declarative Filter Pipeline DataPipeline Foundations XML
  75. Filter Records Expression Language Transform Filter Rules
  76. Filter Twitter in Real Time Filter Twitter Streaming data
  77. Filter Twitter in Real Time Using v2 API Twitter2 Filter Streaming data
  78. Find The Minimum Maximum Average Sum Count Transform Stats CSV Aggregate Conversion STDOUT
  79. Generate Java Beans from a Database JDBC Code Generation DataPipeline Foundations
  80. Generate MySQL DDL Programmatically Code Generation MySQL
  81. Generate MySQL INSERT Statements Programmatically Code Generation MySQL Database
  82. Generate MySql DDL From CSV CSV Code Generation Schema MySQL DataPipeline Foundations
  83. Generate MySql INSERT Statements From CSV CSV Code Generation MySQL Database
  84. Generate Parquet Schema By Analyzing All Records CSV Parquet
  85. Generate Parquet Schema By Analyzing Initial Records CSV Parquet
  86. Generate PostgreSQL DDL From Excel Code Generation Schema MS Excel PostgreSQL DataPipeline Foundations
  87. Generate PostgreSQL DDL Programmatically Code Generation PostgreSQL
  88. Generate PostgreSql DDL From CSV CSV Code Generation Schema PostgreSQL DataPipeline Foundations
  89. Generate SQL Queries Programmatically JDBC MySQL Microsoft SQL Server PostgreSQL
  90. Generate Schema From JDBC JDBC Schema DataPipeline Foundations
  91. Generate Schema Java Code Code Generation Schema DataPipeline Foundations
  92. Generate Union and Sub-Select SQL Queries Programmatically JDBC MySQL Microsoft SQL Server PostgreSQL
  93. Generate a PDF Simple PDF XML
  94. Generate a Word Document JSON Simple RTF
  95. Generate toRecord And fromRecord Using The GenerateRecordSerializers Tool Code Generation Serialization
  96. Get a Query Param from a URL Transform Assign Field
  97. Group Records by TimePeriod or Count Aggregate
  98. Handle Exceptions Exceptions
  99. Handle Filtered Records Transform Assign Field Calculated Field Fixed Width Filter
  100. Handle Transforming Reader Failures Exceptions Transform Filter Rename Field XML
  101. Handle Transforming Writer Failures Exceptions Transform Calculated Field Fixed Width Filter Conversion
  102. Handle Validation Failures Filter Validate XML
  103. How To Read An XML File With A Byte Order Mark (BOM) XML
  104. How to Convert Tabular Data to Trees Using Aggregation Transform CSV Sort
  105. Infer Date Time from a CSV File Pipeline Dataset DataPipeline Foundations Analyze Data
  106. Insert Multiple Rows to Oracle Using Insert All JDBC Version 8.1.0 Oracle Database JDBC Insert Strategy
  107. Insert Multiple Rows to Oracle Using Select Union JDBC Version 8.1.0 Oracle Database JDBC Insert Strategy
  108. Join CSV Files CSV
  109. Load Snapshot of Dataset Pipeline DataPipeline Foundations
  110. Log Diagnostic Information Debug
  111. Log Job Progress Job management STDOUT
  112. Look Up Jira Transition IDs Jira
  113. Lookup Data in a Database Transform Lookup JDBC
  114. Lookup Data in any Data Reader Transform Lookup
  115. Lookup in a Flat File Transform Lookup
  116. Manipulate Fields Transform Conversion In-Memory
  117. Map Data Using Automatic Mapping And Exclude Fields CSV Data Mapping DataPipeline Foundations Version 8.1.0
  118. Map Data from Source to Target Data Mapping DataPipeline Foundations
  119. Map Data from Source to Target in a Pipeline Data Mapping DataPipeline Foundations
  120. Map Data from Source to Target in a Pipeline with Validation Data Mapping DataPipeline Foundations
  121. Map Data from Source to Target with Lookup Data Mapping DataPipeline Foundations
  122. Map Data with Rule Based Validation Data Mapping DataPipeline Foundations
  123. Map Data with Schema Based Validation Data Mapping DataPipeline Foundations
  124. Map Records in Pipeline using Schema Pipeline Schema DataPipeline Foundations
  125. Map Records using Schema Schema DataPipeline Foundations
  126. Measure Data Lineage Performance Data Lineage Performance Debug
  127. Measure Data being Read and Written Meter
  128. Measure Performance of Reader and Writer Performance
  129. My Data Reader Customize
  130. My Data Writer Customize
  131. My Filter Filter Customize
  132. My Lookup Lookup Customize
  133. My Proxy Reader Transform Customize
  134. My Proxy Writer Transform Customize
  135. My Transformer Transform Customize
  136. Obtain Statistics Meter Stats MS Excel
  137. Open and Close Several Data Readers and Data Writers at Once JDBC
  138. Pipe a Writer to a Reader Push Pipe Threading
  139. Profile Performance Performance
  140. Read A CSV File using Multithreading CSV Threading
  141. Read An ORC file from Amazon S3 Amazon S3 ORC
  142. Read An ORC file from Amazon S3 using a Temporary File Amazon S3 ORC
  143. Read Big Decimal In JSON JSON
  144. Read BigDecimal and BigInteger from an Excel file MS Excel
  145. Read Concatenated JSON JSON
  146. Read Emails Email STDOUT
  147. Read Google Analytics Social Interactions Google
  148. Read Google Analytics goal conversions Google
  149. Read Google Analytics views Google
  150. Read Google Calendar Google
  151. Read Google Contacts Google
  152. Read Google Gmail Messages Google Email
  153. Read JSON Records From File JSON
  154. Read Jira Comments Jira
  155. Read Jira issues Jira
  156. Read Json Lines JSON JSON Lines
  157. Read Json Lines As Record JSON JSON Lines
  158. Read MailChimp Contacts MailChimp
  159. Read MailChimp Contacts Using the RESTful Client API MailChimp
  160. Read Parquet from Amazon S3 Amazon S3 Parquet
  161. Read Parquet from Amazon S3 using a Temporary File Amazon S3 Parquet
  162. Read Selected Fields from a Parquet File Parquet
  163. Read Selected Fields from an Orc File ORC
  164. Read Shopify Inventory Items E-commerce Shopify
  165. Read Shopify Inventory Levels E-commerce Shopify
  166. Read Shopify Orders E-commerce Shopify
  167. Read Shopify Store Locations E-commerce Shopify
  168. Read Trello Cards Trello
  169. Read Tweets from a User's Timeline Using v2 API Twitter2 Twitter STDOUT
  170. Read UUID from PostgreSQL JDBC UUID PostgreSQL Job management
  171. Read XML Records From File XML
  172. Read a Bloomberg Message File Bloomberg
  173. Read a CSV File CSV
  174. Read a Fixed-width File / Fixed-length Record File Fixed Width
  175. Read a JSON Stream JSON Conversion XPath STDOUT
  176. Read a Parquet File Parquet
  177. Read a Patient File CSV Simple
  178. Read a Set of Files CSV Batch
  179. Read a Simple JSON File JSON Simple
  180. Read a Simple XML File Simple XML
  181. Read a Tab Separated Values File CSV
  182. Read a Web Server Log STDOUT Web Server Logs
  183. Read an Avro File Avro
  184. Read an Orc File ORC
  185. Read an XML File XPath XML
  186. Read an XML File (2) Transform JDBC Conversion XPath XML
  187. Read and Transform Data in Parallel Transform Threading
  188. Read and Write CSV as String CSV
  189. Read and Write Kafka Events Kafka
  190. Read and Write Unsigned Numbers in Parquet Files Version 8.1.0 Parquet
  191. Read and Write to an EventBus EventBus Threading
  192. Read from Amazon S3 Amazon S3
  193. Read from CSV And Writer to Excel Pipeline DataPipeline Foundations
  194. Read from Gmail Email STDOUT
  195. Read from JMS Queue In-Memory JMS
  196. Read from JMS Topic In-Memory JMS
  197. Read from Java beans Java Beans XPath
  198. Read from Memory CSV In-Memory
  199. Read from MongoDB CSV MongoDB STDOUT
  200. Read from a Database JDBC
  201. Read from an Excel File MS Excel
  202. Read from database using OPINIONATED type mapping JDBC
  203. Read from database using ORIGINAL type mapping JDBC
  204. Read from database using STRICT type mapping JDBC
  205. Read using TimedReader Performance
  206. Remove Duplicates Transform Remove Duplicates (Dedup)
  207. Remove Fields Transform Exclude Fields
  208. Remove/Retain Duplicate Fields Transform Remove Duplicates (Dedup)
  209. Rename Duplicate Fields Transform Rename Field
  210. Rename Fields Containing Spaces and Symbols Transform Rename Field
  211. Rename Fields Quickly in Flat And Tabular Data Transform Tabular Data Flat Data Performance Rename Field Fast Version 8.1.0
  212. Rename a Field Transform Rename Field
  213. Save and Load DataMapping to XML Data Mapping DataPipeline Foundations XML
  214. Save and Load DecisionTable to XML DataPipeline Foundations Decision Table XML
  215. Save and Load DecisionTree to XML Decision Tree DataPipeline Foundations XML
  216. Save and Load Diff to Record Diff Dataset DataPipeline Foundations
  217. Save and Restore Pipeline from JSON Pipeline DataPipeline Foundations
  218. Search Followers of a Twitter User Using v2 API Twitter2 STDOUT
  219. Search Twitter for Tweets Transform Twitter MS Excel Copy Field Multi-writer STDOUT
  220. Search Twitter for Tweets Using v2 API Twitter2 STDOUT
  221. Search for Jira Issues by Multiple IDs Jira
  222. Search for a Record Expression Language Filter Search In-Memory
  223. Select and Arrange Fields Transform Include Fields
  224. Serialize DataMapping containing special characters to XML Data Mapping Serialization DataPipeline Foundations XML
  225. Serialize RecordList to and from JSON JSON Serialization
  226. Serialize RecordList to and from XML Dataset Serialization XML
  227. Serialize and Deserialize Data CSV Native Serialization STDOUT
  228. Serialize and Deserialize Records Serialization STDOUT
  229. Set Default Values for Missing Data Schema DataPipeline Foundations
  230. Set a Calculated Field Programmatically Transform Assign Field Calculated Field
  231. Set a Calculated Field at Runtime Expression Language Transform Assign Field Calculated Field
  232. Set a Field Transform Assign Field
  233. Show Column Statistics Pipeline Dataset DataPipeline Foundations Analyze Data
  234. Show Data Mapping Model Problems Data Mapping DataPipeline Foundations
  235. Show Schema Model Problems Schema DataPipeline Foundations
  236. Show Unique Values in Column Pipeline DataPipeline Foundations Analyze Data
  237. Show the Columns and Tables of a Schema JDBC DataPipeline Foundations
  238. Skip First Line Using Limit Reader CSV
  239. Sort Records Transform Sort
  240. Specify Lookup Values Programmatically Transform Lookup
  241. Store Dataset In Memory Dataset DataPipeline Foundations
  242. Store Dataset on Disk Dataset DataPipeline Foundations
  243. Stream Record Fields Java Streams Streaming data
  244. Throttle Data being Read Throttle
  245. Throttle Data being Written Throttle
  246. Transform Records using Schema Schema DataPipeline Foundations
  247. Transition Jira Issue Jira
  248. Update Jira Issue Jira
  249. Upsert Records With Multiple JDBC Connections JDBC Upsert JDBC Multi-Writer Version 8.1.0
  250. Upsert Records to MySql or MariaDB JDBC Upsert MySQL
  251. Upsert Records to Oracle JDBC Upsert Oracle Database
  252. Upsert Records to PostgreSql JDBC Upsert PostgreSQL
  253. Upsert Records to Sybase JDBC Upsert Sybase Microsoft SQL Server
  254. Upsert Records to a Database Using Insert and Update JDBC Upsert
  255. Upsert Records to a Database Using Merge JDBC Upsert
  256. Upsert Variable Field Records JDBC Upsert
  257. Use Data Lineage with CsvReader CSV Data Lineage Debug
  258. Use Data Lineage with ExcelReader Data Lineage MS Excel Debug
  259. Use Data Lineage with FixedWidthReader Fixed Width Data Lineage Debug
  260. Use Data Lineage with JdbcReader JDBC Data Lineage Debug
  261. Use Data Lineage with Lookup Lookup Data Lineage Debug
  262. Use Data Lineage with OrcReader Data Lineage ORC Debug
  263. Use Data Lineage with ParquetReader Data Lineage Parquet Debug
  264. Use Multi Threading in a Single Job Threading
  265. Use SchemaFilter to Validate Records in a Pipeline Schema DataPipeline Foundations
  266. Use Streaming Excel for Reading MS Excel
  267. Use Streaming Excel for Writing CSV MS Excel
  268. Use a Custom AWS S3 Endpoint with AmazonS3FileSystem Amazon S3 Version 8.2.0
  269. Use a Retrying Reader Avro Retrying
  270. Use a Retrying Writer Avro Retrying
  271. Use an EventBus EventBus DataPipeline Foundations
  272. Use an EventBus in a Pipeline EventBus Threading
  273. Validate Data using Entity Inheritance Validate Schema DataPipeline Foundations
  274. Validate Data using Nested Entities Validate Schema DataPipeline Foundations
  275. Validate Incoming Data Expression Language Transform Validate Rules
  276. Validate Record Fields Schema DataPipeline Foundations
  277. Validate Records using Fields and Rules Schema DataPipeline Foundations
  278. Validate Records using Rules Schema DataPipeline Foundations
  279. Validate Root Record Using Schema Filter Validate Schema
  280. Validate a Field Schema DataPipeline Foundations
  281. Validate a Value Schema DataPipeline Foundations
  282. Write A Parquet File Containing Spaces And Symbols In Column Names Transform CSV Parquet
  283. Write A Parquet File Using Database Table Schema JDBC Version 8.1.0 Database Parquet
  284. Write An ORC file to Amazon S3 using a Temporary File Amazon S3 ORC
  285. Write An Orc file to Amazon S3 Amazon S3 ORC
  286. Write Arrays and Nested Records to XML using FreeMarker Templates Template In-Memory Freemarker XPath XML
  287. Write CSV To XML Using FreeMarker Templates Template CSV XML
  288. Write Concatenated JSON
  289. Write Concatenated JSON With Nested Data JSON Streaming data
  290. Write Database View To Parquet File JDBC Version 8.1.0 Database Parquet
  291. Write Excel to Amazon S3 Amazon S3 MS Excel
  292. Write HTML using FreeMarker Templates Template HTML In-Memory
  293. Write JSON Lines JSON In-Memory JSON Lines
  294. Write JSON Lines With Nested Data JSON JSON Lines
  295. Write Key-Value Fields to MapWriter In-Memory
  296. Write Parquet to Amazon S3 Amazon S3 Parquet
  297. Write Parquet to Amazon S3 Using a Temporary File Amazon S3 Parquet
  298. Write UUID to JSON file JSON UUID
  299. Write a CSV File to Database (1) CSV JDBC
  300. Write a CSV File to Database (2) CSV JDBC
  301. Write a CSV File to a Fixed Width / Fixed Length Record File Fixed Width CSV
  302. Write a JSON File using FreeMarker Templates Template JSON In-Memory Freemarker XPath
  303. Write a Parquet File Parquet
  304. Write a Parquet file using Schema Parquet
  305. Write a Parquet file using schema from EntityDef Schema Parquet
  306. Write a Parquet file using the schema derived from any dataset Parquet
  307. Write a Parquet file using the schema from a database query JDBC Version 8.1.0 Parquet
  308. Write a Sequence of Files by Elapsed Time CSV Simple
  309. Write a Sequence of Files by Record Count CSV Simple
  310. Write a Simple JSON File JSON Simple
  311. Write a Simple XML File Simple XML
  312. Write an Avro File Avro
  313. Write an Orc File ORC
  314. Write an XML File Programmatically Template In-Memory XML
  315. Write an XML File using FreeMarker Templates Template In-Memory Freemarker XPath XML
  316. Write my own Data Reader Customize
  317. Write my own Data Writer Customize
  318. Write my own Filter or Validator Transform Filter Validate Customize
  319. Write my own Lookup Transform Lookup Customize
  320. Write my own Transformer Transform Customize
  321. Write to A Data Writer using Tee Reader Multi-writer STDOUT
  322. Write to Amazon S3 Using Multipart Streaming Amazon S3
  323. Write to Excel CSV MS Excel
  324. Write to JMS Queue In-Memory JMS
  325. Write to JMS Topic In-Memory JMS
  326. Write to JSON Stream (Simple) JSON In-Memory Simple
  327. Write to JSON Stream Programmatically Template JSON In-Memory
  328. Write to Memory CSV In-Memory
  329. Write to MongoDB CSV MongoDB
  330. Write to Several Data Writers at Once In-Memory MS Excel Multi-writer
  331. Write to XML Stream (Simple) In-Memory Simple XML
  332. Write to a Database Using Custom Jdbc Insert Strategy JDBC JDBC Insert Strategy
  333. Write to a Database Using Generic Upsert Strategy JDBC Upsert
  334. Write to a Database Using Merge Upsert Strategy JDBC Upsert
  335. Write to a Database Using Merge Upsert Strategy with Batch JDBC Upsert
  336. Write to a Database Using Multi Row Prepared Statement Insert Strategy JDBC JDBC Insert Strategy
  337. Write to a Database Using Multi Row Statement Insert Strategy JDBC JDBC Insert Strategy
  338. Write to a Database Using Multiple Connections JDBC JDBC Multi-Writer MS Excel
  339. Write to the Console STDOUT

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