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.*}

Commencez par org.apache.parquet.hadoop.InternalParquetRecordWriter#checkBlockSizeReached et suivez la manière dont nextRowGroupSize et recordCountForNextMemCheck sont initialisés et utilisés. Identifiez le chemin de configuration existant et les tests pertinents du writer, puis définissez l’achèvement comme le fait de permettre la configuration du dimensionnement de la vérification de mémoire et d’empêcher le comportement signalé des row groups surdimensionnés.

Rédigé par le modèle d'indexation à partir du texte de l'issue.