hadoop+spark+kudu

Spark Integration Known Issues and Limitations
Spark 2.2+ requires Java 8 at runtime even though Kudu Spark 2.x integration is Java 7 compatible. Spark 2.2 is the default dependency version as of Kudu 1.5.0.

Kudu tables with a name containing upper case or non-ascii characters must be assigned an alternate name when registered as a temporary table.

Kudu tables with a column name containing upper case or non-ascii characters may not be used with SparkSQL. Columns may be renamed in Kudu to work around this issue.

<> and OR predicates are not pushed to Kudu, and instead will be evaluated by the Spark task. Only LIKE predicates with a suffix wildcard are pushed to Kudu, meaning that LIKE "FOO%" is pushed down but LIKE "FOO%BAR" isn’t.

Kudu does not support every type supported by Spark SQL. For example, Date and complex types are not supported.

Kudu tables may only be registered as temporary tables in SparkSQL. Kudu tables may not be queried using HiveContext.