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https://issues.apache.org/jira/browse/BEAM-7425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122795#comment-17122795
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Beam JIRA Bot commented on BEAM-7425:
-------------------------------------
This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> Reading BigQuery Table Data into Java Classes(Pojo) Directly
> ------------------------------------------------------------
>
> Key: BEAM-7425
> URL: https://issues.apache.org/jira/browse/BEAM-7425
> Project: Beam
> Issue Type: New Feature
> Components: io-java-avro, io-java-gcp
> Affects Versions: 2.12.0
> Environment: Dataflow
> Reporter: Kishan Kumar
> Priority: P2
> Labels: stale-P2
>
> While Developing my code I used the below code snippet to read the table data
> from BigQuery.
>
> {code:java}
> PCollection<ReasonCode> gpseEftReasonCodes = input
> .apply("Reading xxyyzz",
> BigQueryIO
> .read(new ReadTable<ReasonCode>(ReasonCode.class))
> .withoutValidation()
> .withTemplateCompatibility()
> .fromQuery("Select * from dataset.xxyyzz")
> .usingStandardSql()
> .withCoder(SerializableCoder.of(xxyyzz.class))
> {code}
> Read Table Class:
> {code:java}
> @DefaultSchema(JavaBeanSchema.class)
> public class ReadTable<T> implements SerializableFunction<SchemaAndRecord, T>
> {
> private static final long serialVersionUID = 1L;
> private static Gson gson = new Gson();
> public static final Logger LOG = LoggerFactory.getLogger(ReadTable.class);
> private final Counter countingRecords =
> Metrics.counter(ReadTable.class, "Reading Records EFT Report");
> private Class<T> class1;
>
> public ReadTable(Class<T> class1) { this.class1 = class1; }
>
> public T apply(SchemaAndRecord schemaAndRecord) {
> Map<String, String> mapping = new HashMap<>();
> int counter = 0;
> try {
> GenericRecord s = schemaAndRecord.getRecord();
> org.apache.avro.Schema s1 = s.getSchema();
> for (Field f : s1.getFields()) {
> counter++;
> mapping.put(f.name(), null==s.get(f.name()) ? null :
> String.valueOf(s.get(counter)));
> }
> countingRecords.inc();
> JsonElement jsonElement = gson.toJsonTree(mapping);
> return gson.fromJson(jsonElement, class1);
> } catch (Exception mp) {
> LOG.error("Found Wrong Mapping for the Record: "+mapping);
> mp.printStackTrace(); return null; }
> }
> }
> {code}
> So After Reading the data from Bigquery I was mapping data from
> SchemaAndRecord to pojo I was getting value for columns whose Data type is
> Numeric mention below.
> {code}
> last_update_amount=java.nio.HeapByteBuffer[pos=0 lim=16 cap=16]
> {code}
> My Expectation was I will get exact value but getting the HyperByte Buffer
> the version I am using is Apache beam 2.12.0. If any more information is
> needed then please let me know.
> Way 2 Tried:
> {code:java}
> GenericRecord s = schemaAndRecord.getRecord();
> org.apache.avro.Schema s1 = s.getSchema();
> for (Field f : s1.getFields()) {
> counter++;
> mapping.put(f.name(), null==s.get(f.name()) ? null :
> String.valueOf(s.get(counter)));
> if(f.name().equalsIgnoreCase("reason_code_id")) {
> BigDecimal numericValue = new Conversions.DecimalConversion()
> .fromBytes((ByteBuffer) s.get(f.name()), Schema.create(s1.getType()),
> s1.getLogicalType());
> System.out.println("Numeric Con"+numericValue);
> } else {
> System.out.println("Else Condition "+f.name());
> }
> {code}
> Facing Issue:
> {code}
> 2019-05-24 (14:10:37) org.apache.avro.AvroRuntimeException: Can't create a:
> RECORD
> {code}
>
> It would be Great if we have a method which maps all the BigQuery Data with
> Pojo Schema which Means if I have 10 Columns in BQ and in my Pojo I need only
> 5 Column then, in that case, BigQueryIO should map only that 5 Data values
> into Java Class and Rest will be Rejected As I am Doing After So much Effort.
> Numeric Data Type must be Deserialize by itself while fetching data like
> TableRow.
>
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