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Collection
_.countBy(collection, [iteratee=_.identity]) Since Arguments Returns Example _.every(collection, [predicate=_.identity]) Since Arguments Returns Example _.filter(collec... -
Schemas
Iceberg tables support the following types: Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit s... -
Array
_.chunk(array, [size=1]) Since Arguments Returns Example _.compact(array) Since Arguments Returns Example _.concat(array, [values]) Since Arguments Returns Example ... -
Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in... -
Mixed-Hive
Mixed-Hive format is a format that has better compatibility with Hive than Mixed-Iceberg format. Mixed-Hive format uses a Hive table as the BaseStore and an Iceberg table as the C... -
Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in... -
Hudi
Hudi Integration Dependencies Configurations Hudi Operations Apache Hudi (pronounced “hoodie”) is the next generation streaming data lake platform. Apache Hudi brings core war... -
Users
User status Top users Sign up Log in Log in with email and password Log in from thridy-party OAuth Reset password Notification Inbox Achievement Profile Settings Unsubsc... -
Spark Writes
Writing with SQL INSERT OVERWRITE INSERT INTO Upsert to table with primary keys. DELETE FROM UPDATE MERGE INTO Writing with DataFrames Appending data Overwriting data Crea... -
Documentation Style Guide
Goals License Header General Style ReStructuredText Headings Links Markdown Headings Images Third-party references This guide contains guidelines, not rules. While guide...