use of com.cloudera.cdk.data.PartitionStrategy in project cdk-examples by cloudera.
the class ReadUserDatasetGenericOnePartition method run.
@Override
public int run(String[] args) throws Exception {
// Construct a filesystem dataset repository rooted at /tmp/data
DatasetRepository repo = DatasetRepositories.open("repo:hdfs:/tmp/data");
// Load the users dataset
Dataset<GenericRecord> users = repo.load("users");
// Get the partition strategy and use it to construct a partition key for
// hash(username)=0
PartitionStrategy partitionStrategy = users.getDescriptor().getPartitionStrategy();
PartitionKey partitionKey = partitionStrategy.partitionKey(0);
// Get the dataset partition for the partition key
Dataset<GenericRecord> partition = users.getPartition(partitionKey, false);
// Get a reader for the partition and read all the users
DatasetReader<GenericRecord> reader = partition.newReader();
try {
reader.open();
for (GenericRecord user : reader) {
System.out.println(user);
}
} finally {
reader.close();
}
return 0;
}
use of com.cloudera.cdk.data.PartitionStrategy in project cdk-examples by cloudera.
the class CreateStagedDataset method run.
@Override
public int run(String[] args) throws Exception {
DatasetRepository repo = DatasetRepositories.open("repo:file:/tmp/data");
// where the schema is stored
URI schemaURI = URI.create("resource:simple-log.avsc");
// create a Parquet dataset for long-term storage
repo.create("logs", new DatasetDescriptor.Builder().format(Formats.PARQUET).schemaUri(schemaURI).partitionStrategy(new PartitionStrategy.Builder().year("timestamp", "year").month("timestamp", "month").day("timestamp", "day").build()).build());
// create an Avro dataset to temporarily hold data
repo.create("logs-staging", new DatasetDescriptor.Builder().format(Formats.AVRO).schemaUri(schemaURI).partitionStrategy(new PartitionStrategy.Builder().day("timestamp", "day").build()).build());
return 0;
}
use of com.cloudera.cdk.data.PartitionStrategy in project cdk-examples by cloudera.
the class StagingToPersistentSerial method getPartitionKey.
@SuppressWarnings("deprecation")
private static PartitionKey getPartitionKey(Dataset data, long timestamp) {
// need to build a fake record to get a partition key
final GenericRecordBuilder builder = new GenericRecordBuilder(data.getDescriptor().getSchema());
builder.set("timestamp", timestamp);
builder.set("level", "INFO");
builder.set("component", "StagingToPersistentSerial");
builder.set("message", "Fake log message");
// access the partition strategy, which produces keys from records
final PartitionStrategy partitioner = data.getDescriptor().getPartitionStrategy();
return partitioner.partitionKeyForEntity(builder.build());
}
use of com.cloudera.cdk.data.PartitionStrategy in project cdk-examples by cloudera.
the class CreateUserDatasetGenericPartitioned method run.
@Override
public int run(String[] args) throws Exception {
// Construct a filesystem dataset repository rooted at /tmp/data
DatasetRepository repo = DatasetRepositories.open("repo:hdfs:/tmp/data");
// Create a partition strategy that hash partitions on username with 10 buckets
PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash("username", 10).build();
// Create a dataset of users with the Avro schema in the repository
DatasetDescriptor descriptor = new DatasetDescriptor.Builder().schemaUri("resource:user.avsc").partitionStrategy(partitionStrategy).build();
Dataset<GenericRecord> users = repo.create("users", descriptor);
// Get a writer for the dataset and write some users to it
DatasetWriter<GenericRecord> writer = users.newWriter();
try {
writer.open();
String[] colors = { "green", "blue", "pink", "brown", "yellow" };
Random rand = new Random();
GenericRecordBuilder builder = new GenericRecordBuilder(descriptor.getSchema());
for (int i = 0; i < 100; i++) {
GenericRecord record = builder.set("username", "user-" + i).set("creationDate", System.currentTimeMillis()).set("favoriteColor", colors[rand.nextInt(colors.length)]).build();
writer.write(record);
}
} finally {
writer.close();
}
return 0;
}
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