An umbrella ticket to track the various 2G limit we have in Spark, due to the use of byte arrays and ByteBuffers.
Existing udf get_json_object supports limited JsonPath syntax. It would be nice if we have full JsonPath syntax support. We can use Jayway JsonPath 2.0.0 to query json (Apache License, Version 2.0) Reasons: 1. existing get_json_object syntax is limited in comparison to Jayway JsonPath 2. get_json_object uses lots of custom java code which can be replaced with simple JsonPath API calls, e.g.
When the union type was introduced, full support for it wasn't provided. For instance, when working with a union that gets passed to LazyBinarySerde: Caused by: java.lang.RuntimeException: Unrecognized type: UNION at org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe.serialize(LazyBinarySerDe.java:468) at org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe.serializeStruct(LazyBinarySerD
The hotspot VM offers a way to avoid having to specify the driver class explicitly when using the JDBC driver. The DriverManager methods getConnection and getDrivers have been enhanced to support the Java Standard Edition Service Provider mechanism. JDBC 4.0 Drivers must include the file META-INF/services/java.sql.Driver. This file contains the name of the JDBC drivers implementation of java.sql.D
Computing aggregates over a cube of several dimensions is a common operation in data warehousing. The standard SQL syntax is "GROUP relation BY dim1, dim2, dim3 WITH CUBE" – which in addition to all dim1-2-3, produces aggregations for just dim1, just dim1 and dim2, etc. NULL is generally used to represent "all". A presentation by Arnab Nandi describes how one might implement efficient cubing in Ma
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