Last active
November 16, 2019 13:55
-
-
Save gxercavins/203c8f50ae94b8157026747c1ede6292 to your computer and use it in GitHub Desktop.
SO question 58794005
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
package com.dataflow.samples; | |
import static com.google.common.base.MoreObjects.firstNonNull; | |
import java.io.IOException; | |
import java.util.ArrayList; | |
import java.util.HashMap; | |
import java.util.List; | |
import java.util.Map; | |
import org.apache.beam.sdk.coders.MapCoder; | |
import org.apache.beam.sdk.coders.StringUtf8Coder; | |
import org.apache.beam.sdk.extensions.gcp.util.Transport; | |
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO; | |
import org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder; | |
import org.apache.beam.sdk.options.Description; | |
import org.apache.beam.sdk.options.PipelineOptions; | |
import org.apache.beam.sdk.options.PipelineOptionsFactory; | |
import org.apache.beam.sdk.options.Validation.Required; | |
import org.apache.beam.sdk.Pipeline; | |
import org.apache.beam.sdk.state.StateSpec; | |
import org.apache.beam.sdk.state.StateSpecs; | |
import org.apache.beam.sdk.state.ValueState; | |
import org.apache.beam.sdk.transforms.Create; | |
import org.apache.beam.sdk.transforms.DoFn; | |
import org.apache.beam.sdk.transforms.ParDo; | |
import org.apache.beam.sdk.transforms.View; | |
import org.apache.beam.sdk.transforms.Wait; | |
import org.apache.beam.sdk.values.KV; | |
import org.apache.beam.sdk.values.PCollection; | |
import org.apache.beam.sdk.values.PCollectionView; | |
import org.json.JSONObject; | |
import org.slf4j.Logger; | |
import org.slf4j.LoggerFactory; | |
import com.google.api.services.bigquery.model.TableRow; | |
import com.google.api.services.bigquery.model.TableSchema; | |
import com.google.api.services.bigquery.model.TableFieldSchema; | |
import com.google.common.collect.ImmutableMap; | |
public class DynamicBigQuerySchema { | |
private static final Logger LOG = LoggerFactory.getLogger(DynamicBigQuerySchema.class); | |
public static void main(String[] args) { | |
PipelineOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(PipelineOptions.class); | |
Pipeline p = Pipeline.create(options); | |
PCollection<KV<Integer, String>> input = p | |
.apply("Create data", Create.of( | |
KV.of(1, "{\"user\":\"Alice\",\"age\":\"22\",\"country\":\"Denmark\"}"), | |
KV.of(1, "{\"income\":\"1500\",\"blood\":\"A+\"}"), | |
KV.of(1, "{\"food\":\"pineapple pizza\",\"age\":\"44\"}"), | |
KV.of(1, "{\"user\":\"Bob\",\"movie\":\"Inception\",\"income\":\"1350\"}")) | |
); | |
PCollectionView<Map<String, String>> schemaSideInput = input | |
.apply("Build schema", ParDo.of(new DoFn<KV<Integer, String>, KV<String, String>>() { | |
// A map containing field-type pairs | |
@StateId("schema") | |
private final StateSpec<ValueState<Map<String, String>>> schemaSpec = | |
StateSpecs.value(MapCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of())); | |
@ProcessElement | |
public void processElement(ProcessContext c, | |
@StateId("schema") ValueState<Map<String, String>> schemaSpec) { | |
JSONObject message = new JSONObject(c.element().getValue()); | |
Map<String, String> current = firstNonNull(schemaSpec.read(), new HashMap<String, String>()); | |
message.keySet().forEach(key -> | |
{ | |
Object value = message.get(key); | |
if (!current.containsKey(key)) { | |
String type = "STRING"; | |
try { | |
Integer.parseInt(value.toString()); | |
type = "INTEGER"; | |
} | |
catch(Exception e) {} | |
// uncomment if debugging is needed | |
// LOG.info("key: "+ key + " value: " + value + " type: " + type); | |
c.output(KV.of(key, type)); | |
current.put(key, type); | |
schemaSpec.write(current); | |
} | |
}); | |
} | |
})).apply("Save as Map", View.asMap()); | |
PCollectionView<Map<String, String>> schemaView = p | |
.apply("Start", Create.of("Start")) | |
.apply("Create Schema", ParDo.of(new DoFn<String, Map<String, String>>() { | |
@ProcessElement | |
public void processElement(ProcessContext c) { | |
Map<String, String> schemaFields = c.sideInput(schemaSideInput); | |
List<TableFieldSchema> fields = new ArrayList<>(); | |
for (Map.Entry<String, String> field : schemaFields.entrySet()) | |
{ | |
fields.add(new TableFieldSchema().setName(field.getKey()).setType(field.getValue())); | |
// LOG.info("key: "+ field.getKey() + " type: " + field.getValue()); | |
} | |
TableSchema schema = new TableSchema().setFields(fields); | |
String jsonSchema; | |
try { | |
jsonSchema = Transport.getJsonFactory().toString(schema); | |
} catch (IOException e) { | |
throw new RuntimeException(e); | |
} | |
c.output(ImmutableMap.of("PROJECT_ID:DATASET_NAME.dynamic_bq_schema", jsonSchema)); | |
}}).withSideInputs(schemaSideInput)) | |
.apply("Save as Singleton", View.asSingleton()); | |
input | |
.apply("Convert to TableRow", ParDo.of(new DoFn<KV<Integer, String>, TableRow>() { | |
@ProcessElement | |
public void processElement(ProcessContext c) { | |
JSONObject message = new JSONObject(c.element().getValue()); | |
TableRow row = new TableRow(); | |
message.keySet().forEach(key -> | |
{ | |
Object value = message.get(key); | |
row.set(key, value); | |
}); | |
c.output(row); | |
}})) | |
.apply( BigQueryIO.writeTableRows() | |
.to("PROJECT_ID:DATASET_NAME.dynamic_bq_schema") | |
.withSchemaFromView(schemaView) | |
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED) | |
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)); | |
p.run(); | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment