[SUPPORT]compaction plan generate too fast

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**Describe the problem you faced**

almost every commits generate one compaction plan.
offline compaction task cannot finish so many compaction.

**To Reproduce**

Steps to reproduce the behavior:

there are my configs:
` map.put(FlinkOptions.COMPACTION_TRIGGER_STRATEGY.key(),"num_commits");
map.put(FlinkOptions.COMPACTION_SCHEDULE_ENABLED.key(),"true");
map.put(FlinkOptions.COMPACTION_DELTA_COMMITS.key(),"24");
`
my flink checkpoint interval is 150 sec
it should generate one compact plan per hour,but every commits generate one compaction plan.
There is my some problem with my config?

**Environment Description**

* Hudi version : 0.11.0

below is my code part
`
//compact
configuration.set(FlinkOptions.COMPACTION_SCHEDULE_ENABLED, configuration.getBoolean(FlinkOptions.COMPACTION_SCHEDULE_ENABLED));
configuration.set(FlinkOptions.COMPACTION_ASYNC_ENABLED, configuration.getBoolean(FlinkOptions.COMPACTION_ASYNC_ENABLED));
configuration.set(FlinkOptions.COMPACTION_TASKS, configuration.getInteger(FlinkOptions.COMPACTION_TASKS));
configuration.set(FlinkOptions.COMPACTION_TRIGGER_STRATEGY, configuration.getString(FlinkOptions.COMPACTION_TRIGGER_STRATEGY));
configuration.set(FlinkOptions.COMPACTION_DELTA_COMMITS, configuration.getInteger(FlinkOptions.COMPACTION_DELTA_COMMITS));
configuration.set(FlinkOptions.COMPACTION_DELTA_SECONDS, configuration.getInteger(FlinkOptions.COMPACTION_DELTA_SECONDS));
configuration.set(FlinkOptions.COMPACTION_MAX_MEMORY, configuration.getInteger(FlinkOptions.COMPACTION_MAX_MEMORY));

//hive
configuration.set(FlinkOptions.HIVE_SYNC_ENABLED, configuration.getBoolean(FlinkOptions.HIVE_SYNC_ENABLED));
configuration.set(FlinkOptions.HIVE_SYNC_MODE, configuration.getString(FlinkOptions.HIVE_SYNC_MODE));
configuration.set(FlinkOptions.HIVE_SYNC_METASTORE_URIS, configuration.getString(FlinkOptions.HIVE_SYNC_METASTORE_URIS));
configuration.set(FlinkOptions.HIVE_SYNC_JDBC_URL, configuration.getString(FlinkOptions.HIVE_SYNC_JDBC_URL));
configuration.set(FlinkOptions.HIVE_SYNC_TABLE, tableName);
configuration.set(FlinkOptions.HIVE_SYNC_DB, configuration.getString(FlinkOptions.HIVE_SYNC_DB));
configuration.set(FlinkOptions.HIVE_SYNC_USERNAME, configuration.getString(FlinkOptions.HIVE_SYNC_USERNAME));
configuration.set(FlinkOptions.HIVE_SYNC_PASSWORD, configuration.getString(FlinkOptions.HIVE_SYNC_PASSWORD));
configuration.set(FlinkOptions.HIVE_SYNC_SUPPORT_TIMESTAMP, configuration.getBoolean(FlinkOptions.HIVE_SYNC_SUPPORT_TIMESTAMP));

//timeline-server
configuration.setString("hoodie.embed.timeline.server","false");

//index
configuration.set(FlinkOptions.INDEX_TYPE, HoodieIndex.IndexType.BLOOM.name());

//failed
configuration.set(FlinkOptions.IGNORE_FAILED, false);

long ckpTimeout = rowDataDataStream.getExecutionEnvironment()
.getCheckpointConfig().getCheckpointTimeout();
configuration.setLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT, ckpTimeout);

RowType rowType = RowType.of(false, columnTypes, columnNames);
configuration.setString(FlinkOptions.SOURCE_AVRO_SCHEMA,
AvroSchemaConverter.convertToSchema(rowType).toString());

//分区
configuration.setString(FlinkOptions.KEYGEN_CLASS_NAME, ComplexAvroKeyGenerator.class.getName());
configuration.setString(FlinkOptions.HIVE_SYNC_PARTITION_EXTRACTOR_CLASS_NAME, MultiPartKeysValueExtractor.class.getName());
configuration.setString(FlinkOptions.PARTITION_PATH_FIELD, "createYear,createMonth");
configuration.setString(FlinkOptions.HIVE_SYNC_PARTITION_FIELDS, "createYear,createMonth");

// bulk_insert mode
final String writeOperation = configuration.get(FlinkOptions.OPERATION);
if (WriteOperationType.fromValue(writeOperation) == WriteOperationType.BULK_INSERT) {
Pipelines.bulkInsert(configuration, rowType, rowDataDataStream);
} else
// Append mode
if (OptionsResolver.isAppendMode(configuration)) {
Pipelines.append(configuration, rowType, rowDataDataStream, false);
} else {
DataStream hoodieRecordDataStream = Pipelines.bootstrap(configuration, rowType, parallelism,
rowDataDataStream);
DataStream pipeline = Pipelines.hoodieStreamWrite(configuration, parallelism,
hoodieRecordDataStream);

// compaction
if (StreamerUtil.needsAsyncCompaction(configuration)) {
//mor table and online compaction
Pipelines.compact(configuration, pipeline);
} else if (configuration.getString(FlinkOptions.TABLE_TYPE)
.toUpperCase(Locale.ROOT)
.equals(FlinkOptions.TABLE_TYPE_COPY_ON_WRITE)) {
//cow table
Pipelines.clean(configuration, pipeline);
}
}
}`

Start by reviewing the FlinkOptions compaction settings and the Pipelines.compact(configuration, pipeline) entry point shown in the report. Reproduce the behavior with Hudi 0.11.0, the num_commits strategy, and COMPACTION_DELTA_COMMITS set to 24, then inspect why plans are generated more often than expected. Done means the trigger behavior is explained and, if confirmed as a bug, covered by a regression test.

Written by the indexing model from the issue text.