twalthr commented on a change in pull request #6541: [FLINK-9964] [table] Add a CSV table format factory URL: https://github.com/apache/flink/pull/6541#discussion_r209605365
########## File path: flink-formats/flink-csv/src/main/java/org/apache/flink/formats/csv/CsvRowDeserializationSchema.java ########## @@ -0,0 +1,228 @@ +/* + * 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.formats.csv; + +import org.apache.flink.annotation.PublicEvolving; +import org.apache.flink.api.common.serialization.DeserializationSchema; +import org.apache.flink.api.common.typeinfo.BasicArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.types.Row; +import org.apache.flink.util.Preconditions; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.node.ArrayNode; +import com.fasterxml.jackson.databind.node.TextNode; +import com.fasterxml.jackson.dataformat.csv.CsvMapper; +import com.fasterxml.jackson.dataformat.csv.CsvSchema; + +import java.io.IOException; +import java.io.UnsupportedEncodingException; +import java.lang.reflect.Array; +import java.math.BigDecimal; +import java.math.BigInteger; +import java.sql.Date; +import java.sql.Time; +import java.sql.Timestamp; + +/** + * Deserialization schema from CSV to Flink types. + * + * <p>Deserializes a <code>byte[]</code> message as a {@link JsonNode} and + * convert it to {@link Row}. + * + * <p>Failure during deserialization are forwarded as wrapped IOExceptions. + */ +@PublicEvolving +public class CsvRowDeserializationSchema implements DeserializationSchema<Row> { + + /** Schema describing the input csv data. */ + private CsvSchema csvSchema; + + /** Type information describing the input csv data. */ + private TypeInformation<Row> rowTypeInfo; + + /** CsvMapper used to write {@link JsonNode} into bytes. */ + private CsvMapper csvMapper = new CsvMapper(); + + /** Charset for byte[]. */ + private String charset = "UTF-8"; + + + /** + * Create a csv row DeserializationSchema with given {@link TypeInformation}. + */ + CsvRowDeserializationSchema(TypeInformation<Row> rowTypeInfo) { + Preconditions.checkNotNull(rowTypeInfo, "rowTypeInfo must not be null !"); + this.rowTypeInfo = rowTypeInfo; + this.csvSchema = CsvRowSchemaConverter.rowTypeToCsvSchema((RowTypeInfo) rowTypeInfo); + } + + @Override + public Row deserialize(byte[] message) throws IOException { + JsonNode root = csvMapper.readerFor(JsonNode.class) + .with(csvSchema).readValue(message); + return convertRow(root, (RowTypeInfo) rowTypeInfo); + } + + @Override + public boolean isEndOfStream(Row nextElement) { + return false; + } + + @Override + public TypeInformation<Row> getProducedType() { + return rowTypeInfo; + } + + /** + * + * @param root json node that contains a row's data. + * @param rowTypeInfo type information for root. + * @return result row + */ + private Row convertRow(JsonNode root, RowTypeInfo rowTypeInfo) { + String[] fields = rowTypeInfo.getFieldNames(); + TypeInformation<?>[] types = rowTypeInfo.getFieldTypes(); + Row row = new Row(fields.length); + + for (int i = 0; i < fields.length; i++) { + String columnName = fields[i]; + JsonNode node = root.get(columnName); + row.setField(i, convert(node, types[i])); + } + return row; + } + + /** + * + * @param node array node that contains a row's data. + * @param rowTypeInfo type information for node. + * @return result row + */ + private Row convertRow(ArrayNode node, RowTypeInfo rowTypeInfo) { + TypeInformation[] types = rowTypeInfo.getFieldTypes(); + String[] fields = rowTypeInfo.getFieldNames(); + Row row = new Row(fields.length); + for (int i = 0; i < fields.length; i++) { + row.setField(i, convert(node.get(i), types[i])); + } + return row; + } + + /** + * Converts json node to object with given type information. + * @param node json node to be converted. + * @param info type information for the json data. + * @return converted object + */ + private Object convert(JsonNode node, TypeInformation<?> info) { + if (info == Types.STRING) { + return node.asText(); + } else if (info == Types.LONG) { + return node.asLong(); + } else if (info == Types.INT) { + return node.asInt(); + } else if (info == Types.DOUBLE) { + return node.asDouble(); + } else if (info == Types.FLOAT) { + return Double.valueOf(node.asDouble()).floatValue(); + } else if (info == Types.BIG_DEC) { + return BigDecimal.valueOf(node.asDouble()); + } else if (info == Types.BIG_INT) { + return BigInteger.valueOf(node.asLong()); + } else if (info == Types.SQL_DATE) { + return Date.valueOf(node.asText()); + } else if (info == Types.SQL_TIME) { + return Time.valueOf(node.asText()); + } else if (info == Types.SQL_TIMESTAMP) { + return Timestamp.valueOf((String) node.asText()); Review comment: Remove unnecessary cast. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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