record count for row group size check configurable

 org.apache.parquet.hadoop.InternalParquetRecordWriter#checkBlockSizeReached
```java

 private void checkBlockSizeReached() throws IOException {
    if (recordCount >= recordCountForNextMemCheck) { // checking the memory size is relatively expensive, so let's not do it for every record.
      long memSize = columnStore.getBufferedSize();
      long recordSize = memSize / recordCount;
      // flush the row group if it is within ~2 records of the limit
      // it is much better to be slightly under size than to be over at all
      if (memSize > (nextRowGroupSize - 2 * recordSize)) {
        LOG.info("mem size {} > {}: flushing {} records to disk.", memSize, nextRowGroupSize, recordCount);
        flushRowGroupToStore();
        initStore();
        recordCountForNextMemCheck = min(max(MINIMUM_RECORD_COUNT_FOR_CHECK, recordCount / 2), MAXIMUM_RECORD_COUNT_FOR_CHECK);
        this.lastRowGroupEndPos = parquetFileWriter.getPos();
      } else {
        recordCountForNextMemCheck = min(
            max(MINIMUM_RECORD_COUNT_FOR_CHECK, (recordCount + (long)(nextRowGroupSize / ((float)recordSize))) / 2), // will check halfway
            recordCount + MAXIMUM_RECORD_COUNT_FOR_CHECK // will not look more than max records ahead
            );
        LOG.debug("Checked mem at {} will check again at: {}", recordCount, recordCountForNextMemCheck);
      }
    }
  }
```
in this code，if the block size is small ,for example 8M,and the first 100 lines record size is small and  after 100 lines the record size is big，it will cause big row group，in our real scene，it will more than 64M. So i think the size for block check can configurable.

**Reporter**: [xjlem](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=xjlem)

_{**Note**: *This issue was originally created as [PARQUET-2242](https://issues.apache.org/jira/browse/PARQUET-2242). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Inizia da org.apache.parquet.hadoop.InternalParquetRecordWriter#checkBlockSizeReached e traccia come vengono inizializzati e utilizzati nextRowGroupSize e recordCountForNextMemCheck. Individua il percorso di configurazione esistente e i test rilevanti del writer, quindi definisci il completamento come la possibilità di configurare il dimensionamento del controllo della memoria e impedire il comportamento segnalato dei row group sovradimensionati.

Scritto dal modello di indicizzazione a partire dal testo della issue.