What tuning options and configuration parameters are supported by Hive?

Some common tuning options and configuration parameters supported by Hive include:

1. Optimization options for Hive execution engine:

1. mapreduce.job.reduces: specifies the number of reduce tasks.
2. hive.exec.parallel: Determines the number of tasks that can be executed in parallel.
3. hive.exec.dynamic.partition.mode: dynamic partition mode, used to optimize dynamic partitions.
4. hive.exec.compress.output: Enables compression for the output files.

1. Optimization parameters inquiry:

1. Enable the index filter in Hive to optimize queries.
2. Enable the Cost Based Optimizer (CBO) for Hive by setting hive.cbo.enable to true.
3. hive.optimize.sort.dynamic.partition: Dynamic partition sorting optimization.

1. Options for IO tuning:

1. Split strategy for ORC files.
2. Default stripe size for ORC files: hive.exec.orc.default.stripe.size.
3. Default block size for ORC files.

1. Resource management and scheduling parameters:

1. hive.exec.mode.local.auto: Automatically switch to local mode based on query size.
2. hive.mapred.mode: Specifies the execution mode for MapReduce tasks.

In general, based on specific circumstances, Hive can be optimized as needed to improve query performance and execution efficiency.