The Flink Connector puts the top level parquet fields as the top level Row columns, then the index and metadata columns follow. This format is used if your layer content type is configured as application/x-parquet and you have a specified schema. If the schema is not specified, an error will be thrown.
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Learn Components of Apache Flink ecosystem-Various Flink APIs & libraries-Flink dataset API This Apache Flink tutorial will help you in understanding what is Apache Flink along with Flink definition.Field Sink: Bring running water to remote locations with this foot pump operated wash station. Perfect for camp or the patio. Ideal for campfire or BBQ grill-side food prep clean-up.因此，我们只需要将Flink消费Kafka后的数据以Parquet文件格式生成到HDFS上，后续Hive就可以将这些Parquet文件加载到数据仓库中。具体流程图如 . 2.1 Flink On YARN. 实现整个案例，我们需要Hadoop环境、Kafka环境、Flink环境、Hive环境。
The Bucketing Sink has the requirement that data is persistent on the target FileSystem on each checkpoint. Pushing data through a Parquet or ORC encoder and flushing on each checkpoint means that for frequent checkpoints, the amount of data compressed/columnarized in a block is small. Hence, the result is an inefficiently compressed file.
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