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https://issues.apache.org/jira/browse/NIFI-1280?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15962168#comment-15962168
 ] 

ASF GitHub Bot commented on NIFI-1280:
--------------------------------------

Github user olegz commented on a diff in the pull request:

    https://github.com/apache/nifi/pull/1652#discussion_r110541764
  
    --- Diff: 
nifi-nar-bundles/nifi-standard-services/nifi-record-serialization-services-bundle/nifi-record-serialization-services/src/main/java/org/apache/nifi/json/JsonPathRowRecordReader.java
 ---
    @@ -0,0 +1,158 @@
    +/*
    + * 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.nifi.json;
    +
    +import java.io.IOException;
    +import java.io.InputStream;
    +import java.util.HashMap;
    +import java.util.LinkedHashMap;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Optional;
    +
    +import org.apache.nifi.logging.ComponentLog;
    +import org.apache.nifi.serialization.MalformedRecordException;
    +import org.apache.nifi.serialization.record.DataType;
    +import org.apache.nifi.serialization.record.MapRecord;
    +import org.apache.nifi.serialization.record.Record;
    +import org.apache.nifi.serialization.record.RecordFieldType;
    +import org.apache.nifi.serialization.record.RecordSchema;
    +import org.apache.nifi.serialization.record.type.ArrayDataType;
    +import org.apache.nifi.serialization.record.type.RecordDataType;
    +import org.apache.nifi.serialization.record.util.DataTypeUtils;
    +import 
org.apache.nifi.serialization.record.util.IllegalTypeConversionException;
    +import org.codehaus.jackson.JsonNode;
    +
    +import com.jayway.jsonpath.Configuration;
    +import com.jayway.jsonpath.DocumentContext;
    +import com.jayway.jsonpath.JsonPath;
    +import com.jayway.jsonpath.PathNotFoundException;
    +import com.jayway.jsonpath.spi.json.JacksonJsonProvider;
    +
    +public class JsonPathRowRecordReader extends AbstractJsonRowRecordReader {
    +    private static final Configuration STRICT_PROVIDER_CONFIGURATION = 
Configuration.builder().jsonProvider(new JacksonJsonProvider()).build();
    +
    +    private final LinkedHashMap<String, JsonPath> jsonPaths;
    +    private final InputStream in;
    +    private RecordSchema schema;
    +    private final String dateFormat;
    +    private final String timeFormat;
    +    private final String timestampFormat;
    +
    +    public JsonPathRowRecordReader(final LinkedHashMap<String, JsonPath> 
jsonPaths, final RecordSchema schema, final InputStream in, final ComponentLog 
logger,
    +        final String dateFormat, final String timeFormat, final String 
timestampFormat)
    +        throws MalformedRecordException, IOException {
    +        super(in, logger);
    +
    +        this.dateFormat = dateFormat;
    +        this.timeFormat = timeFormat;
    +        this.timestampFormat = timestampFormat;
    +
    +        this.schema = schema;
    +        this.jsonPaths = jsonPaths;
    +        this.in = in;
    +    }
    +
    +    @Override
    +    public void close() throws IOException {
    +        in.close();
    +    }
    +
    +    @Override
    +    public RecordSchema getSchema() {
    +        return schema;
    +    }
    +
    +    @Override
    +    protected Record convertJsonNodeToRecord(final JsonNode jsonNode, 
final RecordSchema schema) throws IOException {
    +        if (jsonNode == null) {
    +            return null;
    +        }
    +
    +        final DocumentContext ctx = 
JsonPath.using(STRICT_PROVIDER_CONFIGURATION).parse(jsonNode.toString());
    +        final Map<String, Object> values = new 
HashMap<>(schema.getFieldCount());
    +
    +        for (final Map.Entry<String, JsonPath> entry : 
jsonPaths.entrySet()) {
    +            final String fieldName = entry.getKey();
    +            final DataType desiredType = 
schema.getDataType(fieldName).orElse(null);
    +            if (desiredType == null) {
    +                continue;
    +            }
    +
    +            final JsonPath jsonPath = entry.getValue();
    +
    +            Object value;
    +            try {
    +                value = ctx.read(jsonPath);
    +            } catch (final PathNotFoundException pnfe) {
    +                value = null;
    +            }
    +
    +            value = convert(value, desiredType);
    --- End diff --
    
    Not sure with the above code if this may result in NPE given explicit null 
assignment. Also, do you think it should be logged in any way that path was not 
found on line 103? 


> Create QueryFlowFile Processor
> ------------------------------
>
>                 Key: NIFI-1280
>                 URL: https://issues.apache.org/jira/browse/NIFI-1280
>             Project: Apache NiFi
>          Issue Type: Task
>          Components: Extensions
>            Reporter: Mark Payne
>            Assignee: Mark Payne
>             Fix For: 1.2.0
>
>         Attachments: QueryFlowFile_Record_Reader-Writer_Examples.xml
>
>
> We should have a Processor that allows users to easily filter out specific 
> columns from CSV data. For instance, a user would configure two different 
> properties: "Columns of Interest" (a comma-separated list of column indexes) 
> and "Filtering Strategy" (Keep Only These Columns, Remove Only These Columns).
> We can do this today with ReplaceText, but it is far more difficult than it 
> would be with this Processor, as the user has to use Regular Expressions, 
> etc. with ReplaceText.
> Eventually a Custom UI could even be built that allows a user to upload a 
> Sample CSV and choose which columns from there, similar to the way that Excel 
> works when importing CSV by dragging and selecting the desired columns? That 
> would certainly be a larger undertaking and would not need to be done for an 
> initial implementation.



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