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Fix handling of columns with Decimal data type in delta input source #17376

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Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,7 @@ private static Object getValue(DataType dataType, io.delta.kernel.data.Row dataR
}
return String.valueOf(charArray);
} else if (dataType instanceof DecimalType) {
return dataRow.getDecimal(columnOrdinal).longValue();
return dataRow.getDecimal(columnOrdinal);
} else if (dataType instanceof StructType) {
final io.delta.kernel.data.Row structRow = dataRow.getStruct(columnOrdinal);
return RowSerde.convertRowToJsonObject(structRow);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@
import io.delta.kernel.types.ByteType;
import io.delta.kernel.types.DataType;
import io.delta.kernel.types.DateType;
import io.delta.kernel.types.DecimalType;
import io.delta.kernel.types.DoubleType;
import io.delta.kernel.types.FloatType;
import io.delta.kernel.types.IntegerType;
Expand Down Expand Up @@ -126,6 +127,8 @@ public static Map<String, Object> convertRowToJsonObject(Row row)
value = row.getFloat(fieldId);
} else if (fieldType instanceof DoubleType) {
value = row.getDouble(fieldId);
} else if (fieldType instanceof DecimalType) {
value = row.getDecimal(fieldId);
} else if (fieldType instanceof DateType) {
value = DeltaTimeUtils.getSecondsFromDate(row.getInt(fieldId));
} else if (fieldType instanceof TimestampType) {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@
import org.apache.druid.java.util.common.DateTimes;
import org.apache.druid.segment.AutoTypeColumnSchema;

import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
Expand Down Expand Up @@ -66,35 +67,35 @@ public class ComplexTypesDeltaTable
"id", 0L,
"array_info", ImmutableList.of(0, 1, 2, 3),
"struct_info", ImmutableMap.of("id", 0L, "name", "0"),
"nested_struct_info", ImmutableMap.of("id", 0L, "name", "0", "nested", ImmutableMap.of("nested_int", 0, "nested_double", 1.0)),
"nested_struct_info", ImmutableMap.of("id", 0L, "name", "0", "nested", ImmutableMap.of("nested_int", 0, "nested_double", 1.0, "nested_decimal", BigDecimal.valueOf(0.23))),
"map_info", ImmutableMap.of("key1", 1.0f, "key2", 1.0f)
),
ImmutableMap.of(
"id", 1L,
"array_info", ImmutableList.of(1, 2, 3, 4),
"struct_info", ImmutableMap.of("id", 1L, "name", "1"),
"nested_struct_info", ImmutableMap.of("id", 1L, "name", "1", "nested", ImmutableMap.of("nested_int", 1, "nested_double", 2.0)),
"nested_struct_info", ImmutableMap.of("id", 1L, "name", "1", "nested", ImmutableMap.of("nested_int", 1, "nested_double", 2.0, "nested_decimal", BigDecimal.valueOf(1.23))),
"map_info", ImmutableMap.of("key1", 2.0f, "key2", 2.0f)
),
ImmutableMap.of(
"id", 2L,
"array_info", ImmutableList.of(2, 3, 4, 5),
"struct_info", ImmutableMap.of("id", 2L, "name", "2"),
"nested_struct_info", ImmutableMap.of("id", 2L, "name", "2", "nested", ImmutableMap.of("nested_int", 2, "nested_double", 3.0)),
"nested_struct_info", ImmutableMap.of("id", 2L, "name", "2", "nested", ImmutableMap.of("nested_int", 2, "nested_double", 3.0, "nested_decimal", BigDecimal.valueOf(2.23))),
"map_info", ImmutableMap.of("key1", 3.0f, "key2", 3.0f)
),
ImmutableMap.of(
"id", 3L,
"array_info", ImmutableList.of(3, 4, 5, 6),
"struct_info", ImmutableMap.of("id", 3L, "name", "3"),
"nested_struct_info", ImmutableMap.of("id", 3L, "name", "3", "nested", ImmutableMap.of("nested_int", 3, "nested_double", 4.0)),
"nested_struct_info", ImmutableMap.of("id", 3L, "name", "3", "nested", ImmutableMap.of("nested_int", 3, "nested_double", 4.0, "nested_decimal", BigDecimal.valueOf(3.23))),
"map_info", ImmutableMap.of("key1", 4.0f, "key2", 4.0f)
),
ImmutableMap.of(
"id", 4L,
"array_info", ImmutableList.of(4, 5, 6, 7),
"struct_info", ImmutableMap.of("id", 4L, "name", "4"),
"nested_struct_info", ImmutableMap.of("id", 4L, "name", "4", "nested", ImmutableMap.of("nested_int", 4, "nested_double", 5.0)),
"nested_struct_info", ImmutableMap.of("id", 4L, "name", "4", "nested", ImmutableMap.of("nested_int", 4, "nested_double", 5.0, "nested_decimal", BigDecimal.valueOf(4.23))),
"map_info", ImmutableMap.of("key1", 5.0f, "key2", 5.0f)
)
)
Expand Down
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Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
{"commitInfo":{"timestamp":1723511561738,"operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"isolationLevel":"Serializable","isBlindAppend":true,"operationMetrics":{"numFiles":"6","numOutputRows":"5","numOutputBytes":"17937"},"engineInfo":"Apache-Spark/3.5.0 Delta-Lake/3.1.0","txnId":"b9eae5f4-d55b-4c38-b365-8228ec09248e"}}
{"metaData":{"id":"ce998219-9bde-4831-b78c-14b11f919fbe","format":{"provider":"parquet","options":{}},"schemaString":"{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"array_info\",\"type\":{\"type\":\"array\",\"elementType\":\"integer\",\"containsNull\":true},\"nullable\":true,\"metadata\":{}},{\"name\":\"struct_info\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"name\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_struct_info\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"name\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}},{\"name\":\"nested\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"nested_int\",\"type\":\"integer\",\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_double\",\"type\":\"double\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"map_info\",\"type\":{\"type\":\"map\",\"keyType\":\"string\",\"valueType\":\"float\",\"valueContainsNull\":true},\"nullable\":true,\"metadata\":{}}]}","partitionColumns":[],"configuration":{},"createdTime":1723511559184}}
{"commitInfo":{"timestamp":1729202194177,"operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"isolationLevel":"Serializable","isBlindAppend":true,"operationMetrics":{"numFiles":"6","numOutputRows":"5","numOutputBytes":"19553"},"engineInfo":"Apache-Spark/3.5.0 Delta-Lake/3.1.0","txnId":"ff724e89-210e-47dd-a31f-edec6f2c6f6f"}}
{"metaData":{"id":"68614ef0-e5ca-4caa-bbd9-b3427eecadc9","format":{"provider":"parquet","options":{}},"schemaString":"{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"array_info\",\"type\":{\"type\":\"array\",\"elementType\":\"integer\",\"containsNull\":true},\"nullable\":true,\"metadata\":{}},{\"name\":\"struct_info\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"name\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_struct_info\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"long\",\"nullable\":true,\"metadata\":{}},{\"name\":\"name\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}},{\"name\":\"nested\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"nested_int\",\"type\":\"integer\",\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_double\",\"type\":\"double\",\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_decimal\",\"type\":\"decimal(4,2)\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"map_info\",\"type\":{\"type\":\"map\",\"keyType\":\"string\",\"valueType\":\"float\",\"valueContainsNull\":true},\"nullable\":true,\"metadata\":{}}]}","partitionColumns":[],"configuration":{},"createdTime":1729202191427}}
{"protocol":{"minReaderVersion":1,"minWriterVersion":2}}
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{"add":{"path":"part-00003-383f5a97-c624-4ef3-82a4-f3f273308e53-c000.snappy.parquet","partitionValues":{},"size":3291,"modificationTime":1723511561689,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"id\":1,\"struct_info\":{\"id\":1,\"name\":\"1\"},\"nested_struct_info\":{\"id\":1,\"name\":\"1\",\"nested\":{\"nested_int\":1,\"nested_double\":2.0}}},\"maxValues\":{\"id\":1,\"struct_info\":{\"id\":1,\"name\":\"1\"},\"nested_struct_info\":{\"id\":1,\"name\":\"1\",\"nested\":{\"nested_int\":1,\"nested_double\":2.0}}},\"nullCount\":{\"id\":0,\"array_info\":0,\"struct_info\":{\"id\":0,\"name\":0},\"nested_struct_info\":{\"id\":0,\"name\":0,\"nested\":{\"nested_int\":0,\"nested_double\":0}},\"map_info\":0}}"}}
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Original file line number Diff line number Diff line change
Expand Up @@ -17,10 +17,10 @@

import argparse
from enum import Enum

from decimal import Decimal
from delta import *
import pyspark
from pyspark.sql.types import MapType, StructType, StructField, ShortType, StringType, TimestampType, LongType, IntegerType, DoubleType, FloatType, DateType, BooleanType, ArrayType
from pyspark.sql.types import MapType, StructType, StructField, ShortType, StringType, TimestampType, LongType, IntegerType, DoubleType, FloatType, DateType, BooleanType, ArrayType, DecimalType
from pyspark.sql.functions import expr
from datetime import datetime, timedelta
import random
Expand Down Expand Up @@ -73,6 +73,7 @@ def create_dataset_with_complex_types(num_records):
StructField("nested", StructType([
StructField("nested_int", IntegerType(), False),
StructField("nested_double", DoubleType(), True),
StructField("nested_decimal", DecimalType(4, 2), True),
]))
])),
StructField("map_info", MapType(StringType(), FloatType()))
Expand All @@ -85,7 +86,7 @@ def create_dataset_with_complex_types(num_records):
idx,
(idx, idx + 1, idx + 2, idx + 3),
(idx, f"{idx}"),
(idx, f"{idx}", (idx, idx + 1.0)),
(idx, f"{idx}", (idx, idx + 1.0, Decimal(idx + 0.23))),
{"key1": idx + 1.0, "key2": idx + 1.0}
)
data.append(record)
Expand Down
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