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Google BigQuery
Querying from Google BigQuery Iceberg tables To read an Apache XTable™ (Incubating) synced Iceberg table from BigQuery , you have two options: Using Iceberg JSON metadata file ... -
Gobblin Metrics Performance
Generalities How to interpret these numbers What if I need larger QPS? Update Metrics Performance Multiple metric updates per iteration Multi-threading Running Performance Tes... -
FilterRowKind
Description Options include_kinds [array] exclude_kinds [array] common options [string] Examples FilterRowKind transform plugin Description Filter the data by RowKind ... -
Connectors
Connectors Connector Source Sink CloudEvents Implements Technical Solution Structure and process Design Detail Description Worker Connector ConnectorRecord with CloudEvent... -
Snowflake
Querying from Snowflake Currently, Snowflake supports Iceberg tables through External Tables and also Native Iceberg Tables . Iceberg on Snowflake is currently supported in pub... -
EventMesh Runtime Protocol
EventMesh Runtime Protocol TCP Protocol Protocol Format Message Object in the Business Logic Layer Message Composition Specification Example of Client-Server Interaction Clien... -
Template
Overview How to Use Templates Available Templates How to Create Your Own Template How does Template Work in Gobblin Overview The job configuration template is implemented fo... -
Query Engines
Apache XTable™ (Incubating) synced tables behave the similarly to native tables which means you do not need any additional configurations on query engines’ side to work with table... -
Reliability
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... -
Parquet HDFS
Description Usage Example Pipeline Configuration Configuration Developer Notes Description An extension to FsDataWriter that writes in Parquet format in the form of either...
