Add a config to allow partition column type inference in bootstrap

Currently, we assume that the partition column is always in String type during bootstrap operation.  TestDataSourceForBootstrap.testMetadataBootstrapCOWHiveStylePartitioned fails for date partition column if the type inference of partition column is turned on.

We need to add a config to allow partition column inference in bootstrap so that other types of partition columns are supported.

HoodieSparkBootstrapSchemaProvider
{code:java}
private static Schema getBootstrapSourceSchemaParquet(HoodieWriteConfig writeConfig, HoodieEngineContext context, Path filePath) {
// NOTE: The type inference of partition column in the parquet table is turned off explicitly,
// to be consistent with the existing bootstrap behavior, where the partition column is String
// typed in Hudi table.
((HoodieSparkEngineContext) context).getSqlContext()
.setConf(SQLConf.PARTITION_COLUMN_TYPE_INFERENCE(), false);
StructType parquetSchema = ((HoodieSparkEngineContext) context).getSqlContext().read()
.option("basePath", writeConfig.getBootstrapSourceBasePath())
.parquet(filePath.toString())
.schema(); {code}

## JIRA info

- Link: https://issues.apache.org/jira/browse/HUDI-4932
- Type: Improvement
- Epic: https://issues.apache.org/jira/browse/HUDI-1265

Start with HoodieSparkBootstrapSchemaProvider.getBootstrapSourceSchemaParquet and the failing TestDataSourceForBootstrap.testMetadataBootstrapCOWHiveStylePartitioned test. Trace how bootstrap configuration is defined and passed into Spark SQL, then verify that the new setting controls partition-column inference and that date partition columns pass the metadata bootstrap test.

Written by the indexing model from the issue text.