[spark] Support write with composite partition key

[xuzifu666]

Purpose

Linked issue: close #xxx

Support write with composite partition key.

Currently paimon spark write not support when table partition key is composite key，this pr is aimed to support it.
BTW，to support scan pushdown, changed the PaimonUtils##fieldReference with FieldReference(Seq(name))，this is to avoid error as follow which also can refer spark issue apache/spark#35108 and this api can also compative with Spark3.2.0 (which can refer the pr #3968)

org.apache.spark.sql.catalyst.parser.ParseException: 
Syntax error at or near 't': extra input 't'(line 1, pos 3)

== SQL ==
pt t
---^^^

	at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:306)
	at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:143)
	at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseMultipartIdentifier(ParseDriver.scala:67)
	at org.apache.spark.sql.connector.expressions.LogicalExpressions$.parseReference(expressions.scala:40)
	at org.apache.spark.sql.connector.expressions.FieldReference$.apply(expressions.scala:368)
	at org.apache.spark.sql.PaimonUtils$.fieldReference(PaimonUtils.scala:69)
	at org.apache.paimon.spark.PaimonScan.$anonfun$filterAttributes$2(PaimonScan.scala:106)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
	at org.apache.paimon.spark.PaimonScan.filterAttributes(PaimonScan.scala:106)
	at org.apache.spark.sql.execution.dynamicpruning.PartitionPruning$.$anonfun$getFilterableTableScan$1(PartitionPruning.scala:82)

another condition if not quote SparkTable##partitioning would parse error as follow:

Syntax error at or near 't': extra input 't'(line 1, pos 3)

== SQL ==
pt t
---^^^

org.apache.spark.sql.catalyst.parser.ParseException: 
Syntax error at or near 't': extra input 't'(line 1, pos 3)

== SQL ==
pt t
---^^^

	at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:306)
	at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:143)
	at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseMultipartIdentifier(ParseDriver.scala:67)
	at org.apache.spark.sql.connector.expressions.LogicalExpressions$.parseReference(expressions.scala:40)
	at org.apache.spark.sql.connector.expressions.LogicalExpressions.parseReference(expressions.scala)
	at org.apache.spark.sql.connector.expressions.Expressions.column(Expressions.java:58)
	at org.apache.spark.sql.connector.expressions.Expressions.identity(Expressions.java:105)
	at org.apache.paimon.spark.SparkTable.$anonfun$partitioning$1(SparkTable.scala:54)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.AbstractTraversable.map(Traversable.scala:108)
	at org.apache.paimon.spark.SparkTable.partitioning(SparkTable.scala:54)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveInsertInto$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveInsertInto$$partitionColumnNames(Analyzer.scala:1238)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveInsertInto$$anonfun$apply$14.applyOrElse(Analyzer.scala:1218)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveInsertInto$$anonfun$apply$14.applyOrElse(Analyzer.scala:1210)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:170)

So support composite partition key need change PaimonUtils##fieldReference and quote SparkTable##partitioning.

Tests

API and Format

Documentation

[JingsongLi]

+1