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  • Run Java SDK Demo

    Run Java SDK Demo 1. TCP 1.1 ASYNC 1.2 BROADCAST 2 HTTP 2.1 ASYNC 3 GRPC 3.1 ASYNC Publish & Webhook Subscribe 3.2 SYNC Publish & Stream Subscribe 3.3 Publish BATCH Message ...
  • Parquet HDFS

    1353 2025-03-25 《Apache Gobblin 0.17.0》
    Description Usage Example Pipeline Configuration Configuration Developer Notes Description An extension to FsDataWriter that writes in Parquet format in the form of either...
  • Data serialization

    1352 2025-03-14 《Redisson 3.45.0》
    Data serialization is extensively used by Redisson to marshall and unmarshall bytes received or sent over network link with Redis or Valkey server. Many popular codecs are availabl...
  • Common methods

    1349 2025-03-14 《Redisson 3.45.0》
    1. Object name Name of Redisson object stored as a key in Redis or Valkey. Example: RMap map = redisson . getMap ( "mymap" ); map . getName (); // = mymap 2. Commo...
  • Logic

    1346 2024-06-05 《Ramda 0.9.0》
    and isEmpty not or cond ifElse allPass anyPass and a → b → a | b Added in v0.1.0 Returns the first argument if it is falsy, otherwise the second argument. Acts as the...
  • Reliability

    1342 2025-03-10 《Apache Iceberg 1.8.1》
    Reliability Iceberg was designed to solve correctness problems that affect Hive tables running in S3. Hive tables track data files using both a central metastore for partitions a...
  • Pipelining

    1337 2025-03-15 《Redisson 3.45.0》
    Multiple commands can be sent in a batch using RBatch object in a single network call. Command batches allows to reduce the overall execution time of a group of commands. In Redis...
  • Concepts

    1306 2024-05-10 《ClickHouse Doc》
    Why is ClickHouse so Fast? What is OLAP? Why is ClickHouse unique? Glossary
  • Knative

    Knative Prerequisite Create Knative Source and Sink Set up EventMesh Configuration Step 2: Publish an Event Message from Knative Step 3: Subscribe from an EventMesh Expected Res...
  • Performance

    1292 2025-03-10 《Apache Iceberg 1.8.1》
    Performance Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even multi-petabyte tables can be read from ...