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[FLINK-21245][table-planner-blink] Support RexNode and RelDataType js…
…on serialization/deserialization This closes apache#14878
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201
...ava/org/apache/flink/table/planner/plan/nodes/exec/serde/RelDataTypeJsonDeserializer.java
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| package org.apache.flink.table.planner.plan.nodes.exec.serde; | ||
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| import org.apache.flink.api.common.typeinfo.TypeInformation; | ||
| import org.apache.flink.table.api.TableException; | ||
| import org.apache.flink.table.planner.calcite.FlinkTypeFactory; | ||
| import org.apache.flink.table.types.logical.LogicalType; | ||
| import org.apache.flink.table.types.logical.RawType; | ||
| import org.apache.flink.table.types.logical.StructuredType; | ||
| import org.apache.flink.table.types.logical.TimestampKind; | ||
| import org.apache.flink.table.types.logical.TypeInformationRawType; | ||
| import org.apache.flink.table.types.logical.utils.LogicalTypeParser; | ||
| import org.apache.flink.table.utils.EncodingUtils; | ||
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|
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| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.core.JsonParser; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.core.JsonProcessingException; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.DeserializationContext; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.JsonNode; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.deser.std.StdDeserializer; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ArrayNode; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.TextNode; | ||
|
|
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| import org.apache.calcite.avatica.util.TimeUnit; | ||
| import org.apache.calcite.rel.type.RelDataType; | ||
| import org.apache.calcite.rel.type.RelDataTypeFactory; | ||
| import org.apache.calcite.rel.type.StructKind; | ||
| import org.apache.calcite.sql.SqlIntervalQualifier; | ||
| import org.apache.calcite.sql.parser.SqlParserPos; | ||
| import org.apache.calcite.sql.type.SqlTypeName; | ||
| import org.apache.calcite.util.Util; | ||
|
|
||
| import java.io.IOException; | ||
|
|
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| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_ELEMENT; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_FIELDS; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_FILED_NAME; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_KEY; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_NULLABLE; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_PRECISION; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_RAW_TYPE; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_SCALE; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_STRUCTURED_TYPE; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_STRUCT_KIND; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_TIMESTAMP_KIND; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_TYPE_INFO; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_TYPE_NAME; | ||
| import static org.apache.flink.table.planner.plan.nodes.exec.serde.RelDataTypeJsonSerializer.FIELD_NAME_VALUE; | ||
| import static org.apache.flink.util.Preconditions.checkArgument; | ||
|
|
||
| /** | ||
| * JSON deserializer for {@link RelDataType}. refer to {@link RelDataTypeJsonSerializer} for | ||
| * serializer. | ||
| */ | ||
| public class RelDataTypeJsonDeserializer extends StdDeserializer<RelDataType> { | ||
| private static final long serialVersionUID = 1L; | ||
|
|
||
| public RelDataTypeJsonDeserializer() { | ||
| super(RelDataType.class); | ||
| } | ||
|
|
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| @Override | ||
| public RelDataType deserialize(JsonParser jsonParser, DeserializationContext ctx) | ||
| throws IOException, JsonProcessingException { | ||
| JsonNode jsonNode = jsonParser.readValueAsTree(); | ||
| return deserialize(jsonNode, ((FlinkDeserializationContext) ctx)); | ||
| } | ||
|
|
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| private RelDataType deserialize(JsonNode jsonNode, FlinkDeserializationContext ctx) | ||
| throws JsonProcessingException { | ||
| FlinkTypeFactory typeFactory = ctx.getSerdeContext().getTypeFactory(); | ||
| if (jsonNode instanceof ObjectNode) { | ||
| ObjectNode objectNode = (ObjectNode) jsonNode; | ||
| if (objectNode.has(FIELD_NAME_TIMESTAMP_KIND)) { | ||
| boolean nullable = objectNode.get(FIELD_NAME_NULLABLE).booleanValue(); | ||
| TimestampKind timestampKind = | ||
| TimestampKind.valueOf( | ||
| objectNode.get(FIELD_NAME_TIMESTAMP_KIND).asText().toUpperCase()); | ||
| switch (timestampKind) { | ||
| case ROWTIME: | ||
| return typeFactory.createRowtimeIndicatorType(nullable); | ||
| case PROCTIME: | ||
| return typeFactory.createProctimeIndicatorType(nullable); | ||
| default: | ||
| throw new TableException(timestampKind + " is not supported."); | ||
| } | ||
| } else if (objectNode.has(FIELD_NAME_STRUCTURED_TYPE)) { | ||
| JsonNode structuredTypeNode = objectNode.get(FIELD_NAME_STRUCTURED_TYPE); | ||
| LogicalType structuredType = | ||
| ctx.getObjectMapper() | ||
| .readValue(structuredTypeNode.toPrettyString(), LogicalType.class); | ||
| checkArgument(structuredType instanceof StructuredType); | ||
| return ctx.getSerdeContext() | ||
| .getTypeFactory() | ||
| .createFieldTypeFromLogicalType(structuredType); | ||
| } else if (objectNode.has(FIELD_NAME_STRUCT_KIND)) { | ||
| ArrayNode arrayNode = (ArrayNode) objectNode.get(FIELD_NAME_FIELDS); | ||
| RelDataTypeFactory.Builder builder = typeFactory.builder(); | ||
| for (JsonNode node : arrayNode) { | ||
| builder.add(node.get(FIELD_NAME_FILED_NAME).asText(), deserialize(node, ctx)); | ||
| } | ||
| StructKind structKind = | ||
| StructKind.valueOf( | ||
| objectNode.get(FIELD_NAME_STRUCT_KIND).asText().toUpperCase()); | ||
| boolean nullable = objectNode.get(FIELD_NAME_NULLABLE).booleanValue(); | ||
| return builder.kind(structKind).nullableRecord(nullable).build(); | ||
| } else if (objectNode.has(FIELD_NAME_FIELDS)) { | ||
| JsonNode fields = objectNode.get(FIELD_NAME_FIELDS); | ||
| // Nested struct | ||
| return deserialize(fields, ctx); | ||
| } else { | ||
| SqlTypeName sqlTypeName = | ||
| Util.enumVal( | ||
| SqlTypeName.class, objectNode.get(FIELD_NAME_TYPE_NAME).asText()); | ||
| boolean nullable = objectNode.get(FIELD_NAME_NULLABLE).booleanValue(); | ||
| if (SqlTypeName.INTERVAL_TYPES.contains(sqlTypeName)) { | ||
| TimeUnit startUnit = sqlTypeName.getStartUnit(); | ||
| TimeUnit endUnit = sqlTypeName.getEndUnit(); | ||
| return typeFactory.createTypeWithNullability( | ||
| typeFactory.createSqlIntervalType( | ||
| new SqlIntervalQualifier( | ||
| startUnit, endUnit, SqlParserPos.ZERO)), | ||
| nullable); | ||
| } | ||
| if (sqlTypeName == SqlTypeName.OTHER && objectNode.has(FIELD_NAME_RAW_TYPE)) { | ||
| RawType<?> rawType = | ||
| (RawType<?>) | ||
| LogicalTypeParser.parse( | ||
| objectNode.get(FIELD_NAME_RAW_TYPE).asText(), | ||
| ctx.getSerdeContext().getClassLoader()); | ||
| return typeFactory.createTypeWithNullability( | ||
| typeFactory.createFieldTypeFromLogicalType(rawType), nullable); | ||
| } | ||
| if (sqlTypeName == SqlTypeName.ANY && objectNode.has(FIELD_NAME_RAW_TYPE)) { | ||
| JsonNode rawTypeNode = objectNode.get(FIELD_NAME_RAW_TYPE); | ||
| boolean nullableOfTypeInfo = | ||
| rawTypeNode.get(FIELD_NAME_NULLABLE).booleanValue(); | ||
| TypeInformation<?> typeInfo = | ||
| EncodingUtils.decodeStringToObject( | ||
| rawTypeNode.get(FIELD_NAME_TYPE_INFO).asText(), | ||
| TypeInformation.class, | ||
| ctx.getSerdeContext().getClassLoader()); | ||
| TypeInformationRawType<?> rawType = | ||
| new TypeInformationRawType<>(nullableOfTypeInfo, typeInfo); | ||
| return typeFactory.createTypeWithNullability( | ||
| typeFactory.createFieldTypeFromLogicalType(rawType), nullable); | ||
| } | ||
|
|
||
| Integer precision = | ||
| objectNode.has(FIELD_NAME_PRECISION) | ||
| ? objectNode.get(FIELD_NAME_PRECISION).intValue() | ||
| : null; | ||
| Integer scale = | ||
| objectNode.has(FIELD_NAME_SCALE) | ||
| ? objectNode.get(FIELD_NAME_SCALE).intValue() | ||
| : null; | ||
| final RelDataType type; | ||
| if (sqlTypeName == SqlTypeName.ARRAY) { | ||
| RelDataType elementType = deserialize(objectNode.get(FIELD_NAME_ELEMENT), ctx); | ||
| type = typeFactory.createArrayType(elementType, -1); | ||
| } else if (sqlTypeName == SqlTypeName.MULTISET) { | ||
| RelDataType elementType = deserialize(objectNode.get(FIELD_NAME_ELEMENT), ctx); | ||
| type = typeFactory.createMultisetType(elementType, -1); | ||
| } else if (sqlTypeName == SqlTypeName.MAP) { | ||
| RelDataType keyType = deserialize(objectNode.get(FIELD_NAME_KEY), ctx); | ||
| RelDataType valueType = deserialize(objectNode.get(FIELD_NAME_VALUE), ctx); | ||
| type = typeFactory.createMapType(keyType, valueType); | ||
| } else if (precision == null) { | ||
| type = typeFactory.createSqlType(sqlTypeName); | ||
| } else if (scale == null) { | ||
| type = typeFactory.createSqlType(sqlTypeName, precision); | ||
| } else { | ||
| type = typeFactory.createSqlType(sqlTypeName, precision, scale); | ||
| } | ||
| return typeFactory.createTypeWithNullability(type, nullable); | ||
| } | ||
| } else if (jsonNode instanceof TextNode) { | ||
| SqlTypeName sqlTypeName = Util.enumVal(SqlTypeName.class, jsonNode.asText()); | ||
| return typeFactory.createSqlType(sqlTypeName); | ||
| } else { | ||
| throw new TableException("Unknown type: " + jsonNode.toPrettyString()); | ||
| } | ||
| } | ||
| } |
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