SNOW-1566045 Fix double scientific format

pom.xml

@@ -426,6 +426,10 @@
       <groupId>commons-codec</groupId>
       <artifactId>commons-codec</artifactId>
     </dependency>
+    <dependency>
+      <groupId>commons-io</groupId>
+      <artifactId>commons-io</artifactId>
+    </dependency>
 
     <!-- https://mvnrepository.com/artifact/io.dropwizard.metrics/metrics-core -->
     <dependency>

src/main/java/net/snowflake/ingest/streaming/internal/ClientBufferParameters.java

@@ -16,6 +16,8 @@ public class ClientBufferParameters {
 
   private long maxAllowedRowSizeInBytes;
 
+  private final boolean enableNewJsonParsingLogic;
+
   private Constants.BdecParquetCompression bdecParquetCompression;
 
   /**
@@ -30,11 +32,13 @@ private ClientBufferParameters(
       boolean enableParquetInternalBuffering,
       long maxChunkSizeInBytes,
       long maxAllowedRowSizeInBytes,
-      Constants.BdecParquetCompression bdecParquetCompression) {
+      Constants.BdecParquetCompression bdecParquetCompression,
+      boolean enableNewJsonParsingLogic) {
     this.enableParquetInternalBuffering = enableParquetInternalBuffering;
     this.maxChunkSizeInBytes = maxChunkSizeInBytes;
     this.maxAllowedRowSizeInBytes = maxAllowedRowSizeInBytes;
     this.bdecParquetCompression = bdecParquetCompression;
+    this.enableNewJsonParsingLogic = enableNewJsonParsingLogic;
   }
 
   /** @param clientInternal reference to the client object where the relevant parameters are set */
@@ -55,6 +59,11 @@ public ClientBufferParameters(SnowflakeStreamingIngestClientInternal clientInter
         clientInternal != null
             ? clientInternal.getParameterProvider().getBdecParquetCompressionAlgorithm()
             : ParameterProvider.BDEC_PARQUET_COMPRESSION_ALGORITHM_DEFAULT;
+
+    this.enableNewJsonParsingLogic =
+        clientInternal != null
+            ? clientInternal.getParameterProvider().isEnableNewJsonParsingLogic()
+            : ParameterProvider.ENABLE_NEW_JSON_PARSING_LOGIC_DEFAULT;
   }
 
   /**
@@ -68,12 +77,14 @@ public static ClientBufferParameters test_createClientBufferParameters(
       boolean enableParquetInternalBuffering,
       long maxChunkSizeInBytes,
       long maxAllowedRowSizeInBytes,
-      Constants.BdecParquetCompression bdecParquetCompression) {
+      Constants.BdecParquetCompression bdecParquetCompression,
+      boolean enableNewJsonParsingLogic) {
     return new ClientBufferParameters(
         enableParquetInternalBuffering,
         maxChunkSizeInBytes,
         maxAllowedRowSizeInBytes,
-        bdecParquetCompression);
+        bdecParquetCompression,
+        enableNewJsonParsingLogic);
   }
 
   public boolean getEnableParquetInternalBuffering() {
@@ -91,4 +102,8 @@ public long getMaxAllowedRowSizeInBytes() {
   public Constants.BdecParquetCompression getBdecParquetCompression() {
     return bdecParquetCompression;
   }
+
+  public boolean isEnableNewJsonParsingLogic() {
+    return enableNewJsonParsingLogic;
+  }
 }

src/main/java/net/snowflake/ingest/streaming/internal/DataValidationUtil.java

@@ -6,11 +6,17 @@
 
 import static net.snowflake.ingest.streaming.internal.BinaryStringUtils.unicodeCharactersCount;
 
+import com.fasterxml.jackson.core.JsonFactory;
+import com.fasterxml.jackson.core.JsonGenerator;
+import com.fasterxml.jackson.core.JsonParseException;
+import com.fasterxml.jackson.core.JsonParser;
 import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.core.JsonToken;
 import com.fasterxml.jackson.databind.JsonNode;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.fasterxml.jackson.databind.module.SimpleModule;
 import com.fasterxml.jackson.databind.ser.std.ToStringSerializer;
+import java.io.IOException;
 import java.math.BigDecimal;
 import java.math.BigInteger;
 import java.nio.charset.StandardCharsets;
@@ -39,6 +45,7 @@
 import net.snowflake.ingest.utils.SFException;
 import org.apache.commons.codec.DecoderException;
 import org.apache.commons.codec.binary.Hex;
+import org.apache.commons.io.output.StringBuilderWriter;
 
 /** Utility class for parsing and validating inputs based on Snowflake types */
 class DataValidationUtil {
@@ -70,6 +77,8 @@ class DataValidationUtil {
 
   private static final ObjectMapper objectMapper = new ObjectMapper();
 
+  private static final JsonFactory factory = new JsonFactory();
+
   // The version of Jackson we are using does not support serialization of date objects from the
   // java.time package. Here we define a module with custom java.time serializers. Additionally, we
   // define custom serializer for byte[] because the Jackson default is to serialize it as
@@ -135,6 +144,61 @@ private static JsonNode validateAndParseSemiStructuredAsJsonTree(
         insertRowIndex);
   }
 
+  /**
+   * Validates and parses input as JSON. All types in the object tree must be valid variant types,
+   * see {@link DataValidationUtil#isAllowedSemiStructuredType}.
+   *
+   * @param input Object to validate
+   * @return Minified JSON string
+   */
+  private static String validateAndParseSemiStructured(
+      String columnName, Object input, String snowflakeType, final long insertRowIndex) {
+    if (input instanceof String) {
+      final String stringInput = (String) input;
+      verifyValidUtf8(stringInput, columnName, snowflakeType, insertRowIndex);
+      final StringBuilderWriter resultWriter = new StringBuilderWriter(stringInput.length());
+      try (final JsonParser parser = factory.createParser(stringInput);
+          final JsonGenerator generator = factory.createGenerator(resultWriter)) {
+        while (parser.nextToken() != null) {
+          final JsonToken token = parser.currentToken();
+          if (token.isNumeric()) {
+            // If the current token is a number, we cannot just copy the current event because it
+            // would write token the token from double (or big decimal), whose scientific notation
+            // may have been altered during deserialization. We want to preserve the scientific
+            // notation from the user input, so we write the current numer as text.
+            generator.writeNumber(parser.getText());
+          } else {
+            generator.copyCurrentEvent(parser);
+          }
+        }
+      } catch (JsonParseException e) {
+        throw valueFormatNotAllowedException(
+            columnName, snowflakeType, "Not a valid JSON", insertRowIndex);
+      } catch (IOException e) {
+        throw new SFException(e, ErrorCode.IO_ERROR, "Cannot create JSON Parser or JSON generator");
+      }
+      // We return the minified string from the result writer
+      return resultWriter.toString();
+    } else if (isAllowedSemiStructuredType(input)) {
+      JsonNode node = objectMapper.valueToTree(input);
+      return node.toString();
+    }
+
+    throw typeNotAllowedException(
+        columnName,
+        input.getClass(),
+        snowflakeType,
+        new String[] {
+          "String",
+          "Primitive data types and their arrays",
+          "java.time.*",
+          "List<T>",
+          "Map<String, T>",
+          "T[]"
+        },
+        insertRowIndex);
+  }
+
   /**
    * Validates and parses input as JSON. All types in the object tree must be valid variant types,
    * see {@link DataValidationUtil#isAllowedSemiStructuredType}.
@@ -165,6 +229,34 @@ static String validateAndParseVariant(String columnName, Object input, long inse
     return output;
   }
 
+  /**
+   * Validates and parses input as JSON. All types in the object tree must be valid variant types,
+   * see {@link DataValidationUtil#isAllowedSemiStructuredType}.
+   *
+   * @param input Object to validate
+   * @param insertRowIndex
+   * @return JSON string representing the input
+   */
+  static String validateAndParseVariantNew(String columnName, Object input, long insertRowIndex) {
+    final String result =
+        validateAndParseSemiStructured(columnName, input, "VARIANT", insertRowIndex);
+
+    // Empty json strings are ingested as nulls
+    if (result.isEmpty()) {
+      return null;
+    }
+    int stringLength = result.getBytes(StandardCharsets.UTF_8).length;
+    if (stringLength > MAX_SEMI_STRUCTURED_LENGTH) {
+      throw valueFormatNotAllowedException(
+          columnName,
+          "VARIANT",
+          String.format(
+              "Variant too long: length=%d maxLength=%d", stringLength, MAX_SEMI_STRUCTURED_LENGTH),
+          insertRowIndex);
+    }
+    return result;
+  }
+
   /**
    * Validates that passed object is allowed data type for semi-structured columns (i.e. VARIANT,
    * ARRAY, OBJECT). For non-trivial types like maps, arrays or lists, it recursively traverses the
@@ -299,6 +391,41 @@ static String validateAndParseArray(String columnName, Object input, long insert
     return output;
   }
 
+  /**
+   * Validates and parses JSON array. Non-array types are converted into single-element arrays. All
+   * types in the array tree must be valid variant types, see {@link
+   * DataValidationUtil#isAllowedSemiStructuredType}.
+   *
+   * @param input Object to validate
+   * @param insertRowIndex
+   * @return JSON array representing the input
+   */
+  static String validateAndParseArrayNew(String columnName, Object input, long insertRowIndex) {
+    String result = validateAndParseSemiStructured(columnName, input, "ARRAY", insertRowIndex);
+    if (result.isEmpty()) {
+      // Empty input is ingested as an array of null
+      result =
+          JsonToken.START_ARRAY.asString()
+              + JsonToken.VALUE_NULL.asString()
+              + JsonToken.END_ARRAY.asString();
+    } else if (!result.startsWith(JsonToken.START_ARRAY.asString())) {
+      // Non-array values are ingested as single-element arrays, mimicking the Worksheets behavior
+      result = JsonToken.START_ARRAY.asString() + result + JsonToken.END_ARRAY.asString();
+    }
+
+    // Throw an exception if the size is too large
+    int stringLength = result.getBytes(StandardCharsets.UTF_8).length;
+    if (stringLength > MAX_SEMI_STRUCTURED_LENGTH) {
+      throw valueFormatNotAllowedException(
+          columnName,
+          "ARRAY",
+          String.format(
+              "Array too large. length=%d maxLength=%d", stringLength, MAX_SEMI_STRUCTURED_LENGTH),
+          insertRowIndex);
+    }
+    return result;
+  }
+
   /**
    * Validates and parses JSON object. Input is rejected if the value does not represent JSON object
    * (e.g. String '{}' or Map<String, T>). All types in the object tree must be valid variant types,
@@ -329,6 +456,34 @@ static String validateAndParseObject(String columnName, Object input, long inser
     return output;
   }
 
+  /**
+   * Validates and parses JSON object. Input is rejected if the value does not represent JSON object
+   * (e.g. String '{}' or Map<String, T>). All types in the object tree must be valid variant types,
+   * see {@link DataValidationUtil#isAllowedSemiStructuredType}.
+   *
+   * @param input Object to validate
+   * @param insertRowIndex
+   * @return JSON object representing the input
+   */
+  static String validateAndParseObjectNew(String columnName, Object input, long insertRowIndex) {
+    final String result =
+        validateAndParseSemiStructured(columnName, input, "OBJECT", insertRowIndex);
+    if (!result.startsWith(JsonToken.START_OBJECT.asString())) {
+      throw valueFormatNotAllowedException(columnName, "OBJECT", "Not an object", insertRowIndex);
+    }
+    // Throw an exception if the size is too large
+    int stringLength = result.getBytes(StandardCharsets.UTF_8).length;
+    if (stringLength > MAX_SEMI_STRUCTURED_LENGTH) {
+      throw valueFormatNotAllowedException(
+          columnName,
+          "OBJECT",
+          String.format(
+              "Object too large. length=%d maxLength=%d", stringLength, MAX_SEMI_STRUCTURED_LENGTH),
+          insertRowIndex);
+    }
+    return result;
+  }
+
   /**
    * Converts user input to offset date time, which is the canonical representation of dates and
    * timestamps.

src/main/java/net/snowflake/ingest/streaming/internal/ParquetRowBuffer.java

@@ -207,7 +207,13 @@ private float addRow(
       ColumnMetadata column = parquetColumn.columnMetadata;
       ParquetValueParser.ParquetBufferValue valueWithSize =
           ParquetValueParser.parseColumnValueToParquet(
-              value, column, parquetColumn.type, forkedStats, defaultTimezone, insertRowsCurrIndex);
+              value,
+              column,
+              parquetColumn.type,
+              forkedStats,
+              defaultTimezone,
+              insertRowsCurrIndex,
+              clientBufferParameters.isEnableNewJsonParsingLogic());
       indexedRow[colIndex] = valueWithSize.getValue();
       size += valueWithSize.getSize();
     }

src/main/java/net/snowflake/ingest/streaming/internal/ParquetValueParser.java

@@ -85,7 +85,8 @@ static ParquetBufferValue parseColumnValueToParquet(
       PrimitiveType.PrimitiveTypeName typeName,
       RowBufferStats stats,
       ZoneId defaultTimezone,
-      long insertRowsCurrIndex) {
+      long insertRowsCurrIndex,
+      boolean enableNewJsonParsingLogic) {
     Utils.assertNotNull("Parquet column stats", stats);
     float estimatedParquetSize = 0F;
     estimatedParquetSize += DEFINITION_LEVEL_ENCODING_BYTE_LEN;
@@ -147,7 +148,9 @@ static ParquetBufferValue parseColumnValueToParquet(
                 getBinaryValueForLogicalBinary(value, stats, columnMetadata, insertRowsCurrIndex);
             length = ((byte[]) value).length;
           } else {
-            String str = getBinaryValue(value, stats, columnMetadata, insertRowsCurrIndex);
+            String str =
+                getBinaryValue(
+                    value, stats, columnMetadata, insertRowsCurrIndex, enableNewJsonParsingLogic);
             value = str;
             if (str != null) {
               length = str.getBytes().length;
@@ -365,26 +368,36 @@ private static String getBinaryValue(
       Object value,
       RowBufferStats stats,
       ColumnMetadata columnMetadata,
-      final long insertRowsCurrIndex) {
+      final long insertRowsCurrIndex,
+      boolean enableNewJsonParsingLogic) {
     AbstractRowBuffer.ColumnLogicalType logicalType =
         AbstractRowBuffer.ColumnLogicalType.valueOf(columnMetadata.getLogicalType());
     String str;
     if (logicalType.isObject()) {
       switch (logicalType) {
         case OBJECT:
           str =
-              DataValidationUtil.validateAndParseObject(
-                  columnMetadata.getName(), value, insertRowsCurrIndex);
+              enableNewJsonParsingLogic
+                  ? DataValidationUtil.validateAndParseObjectNew(
+                      columnMetadata.getName(), value, insertRowsCurrIndex)
+                  : DataValidationUtil.validateAndParseObject(
+                      columnMetadata.getName(), value, insertRowsCurrIndex);
           break;
         case VARIANT:
           str =
-              DataValidationUtil.validateAndParseVariant(
-                  columnMetadata.getName(), value, insertRowsCurrIndex);
+              enableNewJsonParsingLogic
+                  ? DataValidationUtil.validateAndParseVariantNew(
+                      columnMetadata.getName(), value, insertRowsCurrIndex)
+                  : DataValidationUtil.validateAndParseVariant(
+                      columnMetadata.getName(), value, insertRowsCurrIndex);
           break;
         case ARRAY:
           str =
-              DataValidationUtil.validateAndParseArray(
-                  columnMetadata.getName(), value, insertRowsCurrIndex);
+              enableNewJsonParsingLogic
+                  ? DataValidationUtil.validateAndParseArrayNew(
+                      columnMetadata.getName(), value, insertRowsCurrIndex)
+                  : DataValidationUtil.validateAndParseArray(
+                      columnMetadata.getName(), value, insertRowsCurrIndex);
           break;
         default:
           throw new SFException(