Trigger failures by removing the configs

hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/io/storage/HoodieSparkFileWriterFactory.java

@@ -24,7 +24,6 @@
 import org.apache.hudi.common.engine.TaskContextSupplier;
 import org.apache.hudi.common.table.HoodieTableConfig;
 import org.apache.hudi.common.util.Option;
-import org.apache.hudi.common.util.StringUtils;
 import org.apache.hudi.exception.HoodieIOException;
 import org.apache.hudi.io.storage.row.HoodieRowParquetConfig;
 import org.apache.hudi.io.storage.row.HoodieRowParquetWriteSupport;
@@ -36,7 +35,6 @@
 import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.fs.FSDataOutputStream;
 import org.apache.parquet.hadoop.metadata.CompressionCodecName;
-import org.apache.spark.sql.HoodieDataTypeUtils;
 import org.apache.spark.sql.HoodieInternalRowUtils;
 import org.apache.spark.sql.types.StructType;
 
@@ -58,12 +56,6 @@ protected HoodieFileWriter newParquetFileWriter(
       TaskContextSupplier taskContextSupplier) throws IOException {
     String writeSchema = config.getStringOrDefault(
         WRITE_SCHEMA_OVERRIDE, config.getString(AVRO_SCHEMA_STRING));
-    if (!StringUtils.isNullOrEmpty(writeSchema)) {
-      // The parquet write legacy format property needs to be overridden
-      // if there is a decimal field of small precision, to maintain the compatibility.
-      HoodieDataTypeUtils.tryOverrideParquetWriteLegacyFormatProperty(
-          config.getProps(), new Schema.Parser().parse(writeSchema));
-    }
     boolean populateMetaFields = config.getBooleanOrDefault(HoodieTableConfig.POPULATE_META_FIELDS);
     String compressionCodecName = config.getStringOrDefault(HoodieStorageConfig.PARQUET_COMPRESSION_CODEC_NAME);
     // Support PARQUET_COMPRESSION_CODEC_NAME is ""