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JDO 3.0 Overview
Background Metadata API Enhancer API Query Cancel/Timeout API Control of read objects locking Background Java Data Objects (JDO) is a specification begun in 2000, with 2 maj... -
JDBC
Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Options driver [string] user [string] password [string] url [string] query [stri... -
Kafka
Support Those Engines Key Features Description Supported DataSource Info Sink Options Parameter Interpretation Topic Formats Semantics Partition Key Fields Assign Partition... -
REST API v1
REST API v1 Session Resource GET /sessions Response Body GET /sessions/${sessionHandle} Response Body GET /sessions/${sessionHandle}/info/${infoType} Request Parameters Respon... -
String
_.camelCase([string=’’]) Arguments Returns Example _.capitalize([string=’’]) Arguments Returns Example _.deburr([string=’’]) Arguments Returns Example _.endsWith([strin... -
High-Speed Ingest
Pre-Splitting New Tables Multiple Ingest Clients Bulk Ingest Logical Time for Bulk Ingest MapReduce Ingest Accumulo is often used as part of a larger data processing and stor... -
Caching
Dependencies Fallback Metastore Cache Chart Cache Timeout SQL Lab Query Results Caching Thumbnails Superset uses Flask-Caching for caching purposes. Flask-Caching supports v... -
RHEL/CentOS/Oracle Linux 7
Steps Next Step More Information On a server host that has Internet access, use a command line editor to perform the following Steps Before installing Ambari, you must upda... -
3. Trouble Shooting
Trouble Shooting Common Issues java.lang.UnsupportedClassVersionError .. Unsupported major.minor version 52.0 org.apache.spark.SparkException: When running with master ‘yarn’ eith... -
Creating your first interoperable table
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo...
