Decouple parquet-hadoop module from hadoop-mapreduce-client-core

从 parquet-hadoop 模块中的 ParquetReadOptions 和 ParquetInputFormat 开始，然后跟踪现有的常量和过滤器解析逻辑。引入所请求的 org.apache.parquet.conf 类，同时保留现有的 ParquetInputFormat 入口点和兼容性。验证新类和 ParquetReadOptions 不会初始化 FileInputFormat，然后运行 ./mvnw test。

Describe the enhancement requested

Decouple ParquetReadOptions from the legacy Hadoop ParquetInputFormat/FileInputFormat classes, which currently force pulling in the hadoop-mapreduce-client-core dependency (and its transitive JARs).

Summary

To instantiate a org.apache.parquet.hadoop.ParquetReader we need to use org.apache.parquet.ParquetReadOptions, which references a set of keys located in org.apache.parquet.hadoop.ParquetInputFormat and calls a static getFilter method declared also on ParquetInputFormat, which extends org.apache.hadoop.mapreduce.lib.input.FileInputFormat.

ParquetInputFormat is part of the parquet-hadoop module, while FileInputFormat is declared in the hadoop-mapreduce-client-core JAR from the Hadoop project.

Because ParquetReader (via ParquetReadOptions) needs to call ParquetInputFormat.getFilter(...), the JVM is forced to initialize ParquetInputFormat, and initializing a class triggers the loading and initialization of its superclass (FileInputFormat) along with its entire transitive dependency graph (org.apache.hadoop.mapreduce.*). For code that only needs to read a plain Parquet file (and not the MapReduce input-format machinery), this pulls an unwanted, heavy Hadoop-mapreduce dependency into the classpath and link set. AvroParquetReader and ProtoParquetReader extend from ParquetReader and have the same issue.

ParquetInputFormat has three responsibilities:

• define a set of property keys as constants
• deserialize the filter predicates from a configuration value
• support the integration of Parquet files into Hadoop MapReduce

This issue proposes to extract the first two responsibilities into two new Hadoop-agnostic classes, in the org.apache.parquet.conf package:

• ParquetInputProperties: the property-key constants only
• ParquetInputFilters: the filter deserialization logic
  so that the configuration can be used without ever loading FileInputFormat and its transitive dependencies.

ParquetReader                                   ← org.apache.parquet.hadoop (parquet-hadoop)
        │  uses
        ▼
ParquetReadOptions                              ← org.apache.parquet (parquet-hadoop)
        │  (static import keys + getFilter call)
        ▼
ParquetInputFormat.getFilter(...)               ← org.apache.parquet.hadoop (parquet-hadoop)
        │  extends
        ▼
FileInputFormat<Void, T>                        ← org.apache.hadoop.mapreduce.lib.input (hadoop-mapreduce-client-core)
        │  extends
        ▼
InputFormat<K, V>                               ← org.apache.hadoop.mapreduce.lib.input (hadoop-mapreduce-client-core)
        │  (transitive)
        ▼
{ InputSplit, JobContext, TaskAttemptContext,
  RecordReader, ... }                           ← org.apache.hadoop.mapreduce* (hadoop-mapreduce-client-core)

With the new ParquetInputProperties / ParquetInputFilters, building ParquetReadOptions no longer touches any org.apache.hadoop.mapreduce type, so consumers not related to Hadoop avoid transitively including the MapReduce dependency.

Public API / Behavioral change

No behavior change. This is a refactoring:

• New classes org.apache.parquet.conf.ParquetInputProperties and
  org.apache.parquet.conf.ParquetInputFilters (in parquet-hadoop) hold the constants and the
  ParquetConfiguration-based filter resolution respectively.
• The legacy org.apache.hadoop.conf.Configuration-based entry points remain on
  ParquetInputFormat (they are used only via the legacy MapReduce path) and are kept for binary /
  source compatibility.
• All pre-existing constants on ParquetInputFormat are now @Deprecated and delegate to the new
  classes; source and binary compatibility are preserved.

Acceptance criteria

• ParquetReadOptions (used for plain file reads) references only ParquetInputProperties / ParquetInputFilters, never ParquetInputFormat / org.apache.hadoop.mapreduce.InputFormat.
• Loading ParquetInputProperties / ParquetInputFilters / ParquetReadOptions does not initialize FileInputFormat.
• All existing tests still pass (./mvnw test).

Component(s)

Core