| /** |
| * 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.cassandra.hadoop.pig; |
| |
| import java.io.IOException; |
| import java.math.BigInteger; |
| import java.nio.ByteBuffer; |
| import java.util.*; |
| |
| import org.apache.cassandra.config.ConfigurationException; |
| import org.apache.cassandra.db.marshal.AbstractType; |
| import org.apache.cassandra.db.marshal.BytesType; |
| import org.apache.cassandra.db.marshal.IntegerType; |
| import org.apache.cassandra.db.marshal.TypeParser; |
| import org.apache.cassandra.thrift.*; |
| import org.apache.cassandra.utils.FBUtilities; |
| import org.apache.cassandra.utils.Hex; |
| import org.apache.cassandra.utils.UUIDGen; |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| |
| import org.apache.cassandra.db.Column; |
| import org.apache.cassandra.db.IColumn; |
| import org.apache.cassandra.db.marshal.*; |
| import org.apache.cassandra.db.marshal.AbstractCompositeType.CompositeComponent; |
| import org.apache.cassandra.hadoop.*; |
| import org.apache.cassandra.thrift.Mutation; |
| import org.apache.cassandra.thrift.Deletion; |
| import org.apache.cassandra.thrift.ColumnOrSuperColumn; |
| import org.apache.cassandra.utils.ByteBufferUtil; |
| |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hadoop.mapreduce.*; |
| |
| import org.apache.pig.*; |
| import org.apache.pig.backend.executionengine.ExecException; |
| import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigSplit; |
| import org.apache.pig.data.*; |
| import org.apache.pig.ResourceSchema.ResourceFieldSchema; |
| import org.apache.pig.impl.util.UDFContext; |
| import org.apache.thrift.TDeserializer; |
| import org.apache.thrift.TException; |
| import org.apache.thrift.TSerializer; |
| |
| /** |
| * A LoadStoreFunc for retrieving data from and storing data to Cassandra |
| * |
| * A row from a standard CF will be returned as nested tuples: (key, ((name1, val1), (name2, val2))). |
| */ |
| public class CassandraStorage extends LoadFunc implements StoreFuncInterface, LoadMetadata |
| { |
| // system environment variables that can be set to configure connection info: |
| // alternatively, Hadoop JobConf variables can be set using keys from ConfigHelper |
| public final static String PIG_INPUT_RPC_PORT = "PIG_INPUT_RPC_PORT"; |
| public final static String PIG_INPUT_INITIAL_ADDRESS = "PIG_INPUT_INITIAL_ADDRESS"; |
| public final static String PIG_INPUT_PARTITIONER = "PIG_INPUT_PARTITIONER"; |
| public final static String PIG_OUTPUT_RPC_PORT = "PIG_OUTPUT_RPC_PORT"; |
| public final static String PIG_OUTPUT_INITIAL_ADDRESS = "PIG_OUTPUT_INITIAL_ADDRESS"; |
| public final static String PIG_OUTPUT_PARTITIONER = "PIG_OUTPUT_PARTITIONER"; |
| public final static String PIG_RPC_PORT = "PIG_RPC_PORT"; |
| public final static String PIG_INITIAL_ADDRESS = "PIG_INITIAL_ADDRESS"; |
| public final static String PIG_PARTITIONER = "PIG_PARTITIONER"; |
| public final static String PIG_INPUT_FORMAT = "PIG_INPUT_FORMAT"; |
| public final static String PIG_OUTPUT_FORMAT = "PIG_OUTPUT_FORMAT"; |
| public final static String PIG_ALLOW_DELETES = "PIG_ALLOW_DELETES"; |
| public final static String PIG_WIDEROW_INPUT = "PIG_WIDEROW_INPUT"; |
| public final static String PIG_USE_SECONDARY = "PIG_USE_SECONDARY"; |
| |
| private final static String DEFAULT_INPUT_FORMAT = "org.apache.cassandra.hadoop.ColumnFamilyInputFormat"; |
| private final static String DEFAULT_OUTPUT_FORMAT = "org.apache.cassandra.hadoop.ColumnFamilyOutputFormat"; |
| |
| private final static String PARTITION_FILTER_SIGNATURE = "cassandra.partition.filter"; |
| |
| private final static ByteBuffer BOUND = ByteBufferUtil.EMPTY_BYTE_BUFFER; |
| private static final Log logger = LogFactory.getLog(CassandraStorage.class); |
| |
| private ByteBuffer slice_start = BOUND; |
| private ByteBuffer slice_end = BOUND; |
| private boolean slice_reverse = false; |
| private boolean allow_deletes = false; |
| private String keyspace; |
| private String column_family; |
| private String loadSignature; |
| private String storeSignature; |
| |
| private Configuration conf; |
| private RecordReader<ByteBuffer, Map<ByteBuffer, IColumn>> reader; |
| private RecordWriter<ByteBuffer, List<Mutation>> writer; |
| private String inputFormatClass; |
| private String outputFormatClass; |
| private int limit; |
| private boolean widerows = false; |
| private boolean usePartitionFilter = false; |
| // wide row hacks |
| private ByteBuffer lastKey; |
| private Map<ByteBuffer,IColumn> lastRow; |
| private boolean hasNext = true; |
| |
| public CassandraStorage() |
| { |
| this(1024); |
| } |
| |
| /** |
| * @param limit number of columns to fetch in a slice |
| */ |
| public CassandraStorage(int limit) |
| { |
| super(); |
| this.limit = limit; |
| } |
| |
| public int getLimit() |
| { |
| return limit; |
| } |
| |
| public Tuple getNextWide() throws IOException |
| { |
| CfDef cfDef = getCfDef(loadSignature); |
| ByteBuffer key = null; |
| Tuple tuple = TupleFactory.getInstance().newTuple(); |
| DefaultDataBag bag = new DefaultDataBag(); |
| try |
| { |
| while(true) |
| { |
| hasNext = reader.nextKeyValue(); |
| if (!hasNext) |
| { |
| if (lastRow != null) |
| { |
| if (tuple.size() == 0) // lastRow is a new one |
| { |
| key = (ByteBuffer)reader.getCurrentKey(); |
| tuple.append(new DataByteArray(key.array(), key.position()+key.arrayOffset(), key.limit()+key.arrayOffset())); |
| } |
| for (Map.Entry<ByteBuffer, IColumn> entry : lastRow.entrySet()) |
| { |
| bag.add(columnToTuple(entry.getValue(), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| lastKey = null; |
| lastRow = null; |
| tuple.append(bag); |
| return tuple; |
| } |
| else |
| { |
| if (tuple.size() == 1) // rare case of just one wide row, key already set |
| { |
| tuple.append(bag); |
| return tuple; |
| } |
| else |
| return null; |
| } |
| } |
| if (key != null && !((ByteBuffer)reader.getCurrentKey()).equals(key)) // key changed |
| { |
| // read too much, hold on to it for next time |
| lastKey = (ByteBuffer)reader.getCurrentKey(); |
| lastRow = (SortedMap<ByteBuffer,IColumn>)reader.getCurrentValue(); |
| // but return what we have so far |
| tuple.append(bag); |
| return tuple; |
| } |
| if (key == null) // only set the key on the first iteration |
| { |
| key = (ByteBuffer)reader.getCurrentKey(); |
| if (lastKey != null && !(key.equals(lastKey))) // last key only had one value |
| { |
| tuple.append(new DataByteArray(lastKey.array(), lastKey.position()+lastKey.arrayOffset(), lastKey.limit()+lastKey.arrayOffset())); |
| for (Map.Entry<ByteBuffer, IColumn> entry : lastRow.entrySet()) |
| { |
| bag.add(columnToTuple(entry.getValue(), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| tuple.append(bag); |
| lastKey = key; |
| lastRow = (SortedMap<ByteBuffer,IColumn>)reader.getCurrentValue(); |
| return tuple; |
| } |
| tuple.append(new DataByteArray(key.array(), key.position()+key.arrayOffset(), key.limit()+key.arrayOffset())); |
| } |
| SortedMap<ByteBuffer,IColumn> row = (SortedMap<ByteBuffer,IColumn>)reader.getCurrentValue(); |
| if (lastRow != null) // prepend what was read last time |
| { |
| for (Map.Entry<ByteBuffer, IColumn> entry : lastRow.entrySet()) |
| { |
| bag.add(columnToTuple(entry.getValue(), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| lastKey = null; |
| lastRow = null; |
| } |
| for (Map.Entry<ByteBuffer, IColumn> entry : row.entrySet()) |
| { |
| bag.add(columnToTuple(entry.getValue(), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| } |
| } |
| catch (InterruptedException e) |
| { |
| throw new IOException(e.getMessage()); |
| } |
| } |
| |
| @Override |
| public Tuple getNext() throws IOException |
| { |
| if (widerows) |
| return getNextWide(); |
| try |
| { |
| // load the next pair |
| if (!reader.nextKeyValue()) |
| return null; |
| |
| CfDef cfDef = getCfDef(loadSignature); |
| ByteBuffer key = reader.getCurrentKey(); |
| Map<ByteBuffer, IColumn> cf = reader.getCurrentValue(); |
| assert key != null && cf != null; |
| |
| // output tuple, will hold the key, each indexed column in a tuple, then a bag of the rest |
| // NOTE: we're setting the tuple size here only for the key so we can use setTupleValue on it |
| |
| Tuple tuple = keyToTuple(key, cfDef, parseType(cfDef.getKey_validation_class())); |
| DefaultDataBag bag = new DefaultDataBag(); |
| |
| // we must add all the indexed columns first to match the schema |
| Map<ByteBuffer, Boolean> added = new HashMap<ByteBuffer, Boolean>(); |
| // take care to iterate these in the same order as the schema does |
| for (ColumnDef cdef : cfDef.column_metadata) |
| { |
| if (cf.containsKey(cdef.name)) |
| { |
| tuple.append(columnToTuple(cf.get(cdef.name), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| else |
| { // otherwise, we need to add an empty tuple to take its place |
| tuple.append(TupleFactory.getInstance().newTuple()); |
| } |
| added.put(cdef.name, true); |
| } |
| // now add all the other columns |
| for (Map.Entry<ByteBuffer, IColumn> entry : cf.entrySet()) |
| { |
| if (!added.containsKey(entry.getKey())) |
| bag.add(columnToTuple(entry.getValue(), cfDef, parseType(cfDef.getComparator_type()))); |
| } |
| tuple.append(bag); |
| // finally, special top-level indexes if needed |
| if (usePartitionFilter) |
| { |
| for (ColumnDef cdef : getIndexes()) |
| { |
| Tuple throwaway = columnToTuple(cf.get(cdef.name), cfDef, parseType(cfDef.getComparator_type())); |
| tuple.append(throwaway.get(1)); |
| } |
| } |
| return tuple; |
| } |
| catch (InterruptedException e) |
| { |
| throw new IOException(e.getMessage()); |
| } |
| } |
| |
| /** |
| * Deconstructs a composite type to a Tuple. |
| */ |
| private Tuple composeComposite( AbstractCompositeType comparator, ByteBuffer name ) throws IOException |
| { |
| List<CompositeComponent> result = comparator.deconstruct( name ); |
| |
| Tuple t = TupleFactory.getInstance().newTuple( result.size() ); |
| |
| for( int i = 0; i < result.size(); i++ ) |
| { |
| setTupleValue( t, i, result.get(i).comparator.compose( result.get(i).value ) ); |
| } |
| |
| return t; |
| } |
| |
| private Tuple keyToTuple(ByteBuffer key, CfDef cfDef, AbstractType comparator) throws IOException |
| { |
| Tuple tuple = TupleFactory.getInstance().newTuple(1); |
| if( comparator instanceof AbstractCompositeType ) |
| { |
| setTupleValue(tuple, 0, composeComposite((AbstractCompositeType)comparator,key)); |
| } |
| else |
| { |
| setTupleValue(tuple, 0, getDefaultMarshallers(cfDef).get(2).compose(key)); |
| } |
| return tuple; |
| } |
| |
| private Tuple columnToTuple(IColumn col, CfDef cfDef, AbstractType comparator) throws IOException |
| { |
| Tuple pair = TupleFactory.getInstance().newTuple(2); |
| |
| if( comparator instanceof AbstractCompositeType ) |
| { |
| setTupleValue(pair, 0, composeComposite((AbstractCompositeType)comparator,col.name())); |
| } |
| else |
| { |
| setTupleValue(pair, 0, comparator.compose(col.name())); |
| } |
| if (col instanceof Column) |
| { |
| // standard |
| List<AbstractType> marshallers = getDefaultMarshallers(cfDef); |
| Map<ByteBuffer,AbstractType> validators = getValidatorMap(cfDef); |
| |
| if (validators.get(col.name()) == null) |
| setTupleValue(pair, 1, marshallers.get(1).compose(col.value())); |
| else |
| setTupleValue(pair, 1, validators.get(col.name()).compose(col.value())); |
| return pair; |
| } |
| else |
| { |
| // super |
| ArrayList<Tuple> subcols = new ArrayList<Tuple>(); |
| for (IColumn subcol : col.getSubColumns()) |
| subcols.add(columnToTuple(subcol, cfDef, parseType(cfDef.getSubcomparator_type()))); |
| |
| pair.set(1, new DefaultDataBag(subcols)); |
| } |
| return pair; |
| } |
| |
| private void setTupleValue(Tuple pair, int position, Object value) throws ExecException |
| { |
| if (value instanceof BigInteger) |
| pair.set(position, ((BigInteger) value).intValue()); |
| else if (value instanceof ByteBuffer) |
| pair.set(position, new DataByteArray(ByteBufferUtil.getArray((ByteBuffer) value))); |
| else if (value instanceof UUID) |
| pair.set(position, new DataByteArray(UUIDGen.decompose((java.util.UUID) value))); |
| else if (value instanceof Date) |
| pair.set(position, DateType.instance.decompose((Date) value).getLong()); |
| else |
| pair.set(position, value); |
| } |
| |
| private CfDef getCfDef(String signature) |
| { |
| UDFContext context = UDFContext.getUDFContext(); |
| Properties property = context.getUDFProperties(CassandraStorage.class); |
| return cfdefFromString(property.getProperty(signature)); |
| } |
| |
| private List<IndexExpression> getIndexExpressions() |
| { |
| UDFContext context = UDFContext.getUDFContext(); |
| Properties property = context.getUDFProperties(CassandraStorage.class); |
| if (property.getProperty(PARTITION_FILTER_SIGNATURE) != null) |
| return indexExpressionsFromString(property.getProperty(PARTITION_FILTER_SIGNATURE)); |
| else |
| return null; |
| } |
| |
| private List<AbstractType> getDefaultMarshallers(CfDef cfDef) throws IOException |
| { |
| ArrayList<AbstractType> marshallers = new ArrayList<AbstractType>(); |
| AbstractType comparator; |
| AbstractType subcomparator; |
| AbstractType default_validator; |
| AbstractType key_validator; |
| |
| comparator = parseType(cfDef.getComparator_type()); |
| subcomparator = parseType(cfDef.getSubcomparator_type()); |
| default_validator = parseType(cfDef.getDefault_validation_class()); |
| key_validator = parseType(cfDef.getKey_validation_class()); |
| |
| marshallers.add(comparator); |
| marshallers.add(default_validator); |
| marshallers.add(key_validator); |
| marshallers.add(subcomparator); |
| return marshallers; |
| } |
| |
| private Map<ByteBuffer, AbstractType> getValidatorMap(CfDef cfDef) throws IOException |
| { |
| Map<ByteBuffer, AbstractType> validators = new HashMap<ByteBuffer, AbstractType>(); |
| for (ColumnDef cd : cfDef.getColumn_metadata()) |
| { |
| if (cd.getValidation_class() != null && !cd.getValidation_class().isEmpty()) |
| { |
| AbstractType validator = null; |
| try |
| { |
| validator = TypeParser.parse(cd.getValidation_class()); |
| validators.put(cd.name, validator); |
| } |
| catch (ConfigurationException e) |
| { |
| throw new IOException(e); |
| } |
| } |
| } |
| return validators; |
| } |
| |
| private AbstractType parseType(String type) throws IOException |
| { |
| try |
| { |
| // always treat counters like longs, specifically CCT.compose is not what we need |
| if (type != null && type.equals("org.apache.cassandra.db.marshal.CounterColumnType")) |
| return LongType.instance; |
| return TypeParser.parse(type); |
| } |
| catch (ConfigurationException e) |
| { |
| throw new IOException(e); |
| } |
| } |
| |
| @Override |
| public InputFormat getInputFormat() |
| { |
| try |
| { |
| return FBUtilities.construct(inputFormatClass, "inputformat"); |
| } |
| catch (ConfigurationException e) |
| { |
| throw new RuntimeException(e); |
| } |
| } |
| |
| @Override |
| public void prepareToRead(RecordReader reader, PigSplit split) |
| { |
| this.reader = reader; |
| } |
| |
| public static Map<String, String> getQueryMap(String query) |
| { |
| String[] params = query.split("&"); |
| Map<String, String> map = new HashMap<String, String>(); |
| for (String param : params) |
| { |
| String[] keyValue = param.split("="); |
| map.put(keyValue[0], keyValue[1]); |
| } |
| return map; |
| } |
| |
| private void setLocationFromUri(String location) throws IOException |
| { |
| // parse uri into keyspace and columnfamily |
| String names[]; |
| try |
| { |
| if (!location.startsWith("cassandra://")) |
| throw new Exception("Bad scheme."); |
| String[] urlParts = location.split("\\?"); |
| if (urlParts.length > 1) |
| { |
| Map<String, String> urlQuery = getQueryMap(urlParts[1]); |
| AbstractType comparator = BytesType.instance; |
| if (urlQuery.containsKey("comparator")) |
| comparator = TypeParser.parse(urlQuery.get("comparator")); |
| if (urlQuery.containsKey("slice_start")) |
| slice_start = comparator.fromString(urlQuery.get("slice_start")); |
| if (urlQuery.containsKey("slice_end")) |
| slice_end = comparator.fromString(urlQuery.get("slice_end")); |
| if (urlQuery.containsKey("reversed")) |
| slice_reverse = Boolean.parseBoolean(urlQuery.get("reversed")); |
| if (urlQuery.containsKey("limit")) |
| limit = Integer.parseInt(urlQuery.get("limit")); |
| if (urlQuery.containsKey("allow_deletes")) |
| allow_deletes = Boolean.parseBoolean(urlQuery.get("allow_deletes")); |
| if (urlQuery.containsKey("widerows")) |
| widerows = Boolean.parseBoolean(urlQuery.get("widerows")); |
| if (urlQuery.containsKey("use_secondary")) |
| usePartitionFilter = Boolean.parseBoolean(urlQuery.get("use_secondary")); |
| } |
| String[] parts = urlParts[0].split("/+"); |
| keyspace = parts[1]; |
| column_family = parts[2]; |
| } |
| catch (Exception e) |
| { |
| throw new IOException("Expected 'cassandra://<keyspace>/<columnfamily>[?slice_start=<start>&slice_end=<end>[&reversed=true][&limit=1][&allow_deletes=true][widerows=true][use_secondary=true]]': " + e.getMessage()); |
| } |
| } |
| |
| private void setConnectionInformation() throws IOException |
| { |
| if (System.getenv(PIG_RPC_PORT) != null) |
| { |
| ConfigHelper.setInputRpcPort(conf, System.getenv(PIG_RPC_PORT)); |
| ConfigHelper.setOutputRpcPort(conf, System.getenv(PIG_RPC_PORT)); |
| } |
| |
| if (System.getenv(PIG_INPUT_RPC_PORT) != null) |
| ConfigHelper.setInputRpcPort(conf, System.getenv(PIG_INPUT_RPC_PORT)); |
| if (System.getenv(PIG_OUTPUT_RPC_PORT) != null) |
| ConfigHelper.setOutputRpcPort(conf, System.getenv(PIG_OUTPUT_RPC_PORT)); |
| |
| if (System.getenv(PIG_INITIAL_ADDRESS) != null) |
| { |
| ConfigHelper.setInputInitialAddress(conf, System.getenv(PIG_INITIAL_ADDRESS)); |
| ConfigHelper.setOutputInitialAddress(conf, System.getenv(PIG_INITIAL_ADDRESS)); |
| } |
| if (System.getenv(PIG_INPUT_INITIAL_ADDRESS) != null) |
| ConfigHelper.setInputInitialAddress(conf, System.getenv(PIG_INPUT_INITIAL_ADDRESS)); |
| if (System.getenv(PIG_OUTPUT_INITIAL_ADDRESS) != null) |
| ConfigHelper.setOutputInitialAddress(conf, System.getenv(PIG_OUTPUT_INITIAL_ADDRESS)); |
| |
| if (System.getenv(PIG_PARTITIONER) != null) |
| { |
| ConfigHelper.setInputPartitioner(conf, System.getenv(PIG_PARTITIONER)); |
| ConfigHelper.setOutputPartitioner(conf, System.getenv(PIG_PARTITIONER)); |
| } |
| if(System.getenv(PIG_INPUT_PARTITIONER) != null) |
| ConfigHelper.setInputPartitioner(conf, System.getenv(PIG_INPUT_PARTITIONER)); |
| if(System.getenv(PIG_OUTPUT_PARTITIONER) != null) |
| ConfigHelper.setOutputPartitioner(conf, System.getenv(PIG_OUTPUT_PARTITIONER)); |
| if (System.getenv(PIG_INPUT_FORMAT) != null) |
| inputFormatClass = getFullyQualifiedClassName(System.getenv(PIG_INPUT_FORMAT)); |
| else |
| inputFormatClass = DEFAULT_INPUT_FORMAT; |
| if (System.getenv(PIG_OUTPUT_FORMAT) != null) |
| outputFormatClass = getFullyQualifiedClassName(System.getenv(PIG_OUTPUT_FORMAT)); |
| else |
| outputFormatClass = DEFAULT_OUTPUT_FORMAT; |
| if (System.getenv(PIG_ALLOW_DELETES) != null) |
| allow_deletes = Boolean.valueOf(System.getenv(PIG_ALLOW_DELETES)); |
| } |
| |
| private String getFullyQualifiedClassName(String classname) |
| { |
| return classname.contains(".") ? classname : "org.apache.cassandra.hadoop." + classname; |
| } |
| |
| @Override |
| public void setLocation(String location, Job job) throws IOException |
| { |
| conf = job.getConfiguration(); |
| setLocationFromUri(location); |
| if (ConfigHelper.getInputSlicePredicate(conf) == null) |
| { |
| SliceRange range = new SliceRange(slice_start, slice_end, slice_reverse, limit); |
| SlicePredicate predicate = new SlicePredicate().setSlice_range(range); |
| ConfigHelper.setInputSlicePredicate(conf, predicate); |
| } |
| if (System.getenv(PIG_WIDEROW_INPUT) != null) |
| widerows = Boolean.valueOf(System.getenv(PIG_WIDEROW_INPUT)); |
| if (System.getenv(PIG_USE_SECONDARY) != null) |
| usePartitionFilter = Boolean.valueOf(System.getenv(PIG_USE_SECONDARY)); |
| |
| if (usePartitionFilter && getIndexExpressions() != null) |
| ConfigHelper.setInputRange(conf, getIndexExpressions()); |
| |
| ConfigHelper.setInputColumnFamily(conf, keyspace, column_family, widerows); |
| setConnectionInformation(); |
| |
| if (ConfigHelper.getInputRpcPort(conf) == 0) |
| throw new IOException("PIG_INPUT_RPC_PORT or PIG_RPC_PORT environment variable not set"); |
| if (ConfigHelper.getInputInitialAddress(conf) == null) |
| throw new IOException("PIG_INPUT_INITIAL_ADDRESS or PIG_INITIAL_ADDRESS environment variable not set"); |
| if (ConfigHelper.getInputPartitioner(conf) == null) |
| throw new IOException("PIG_INPUT_PARTITIONER or PIG_PARTITIONER environment variable not set"); |
| if (loadSignature == null) |
| loadSignature = location; |
| initSchema(loadSignature); |
| } |
| |
| public ResourceSchema getSchema(String location, Job job) throws IOException |
| { |
| setLocation(location, job); |
| CfDef cfDef = getCfDef(loadSignature); |
| |
| if (cfDef.column_type.equals("Super")) |
| return null; |
| /* |
| Our returned schema should look like this: |
| (key, index1:(name, value), index2:(name, value), columns:{(name, value)}) |
| Which is to say, columns that have metadata will be returned as named tuples, but unknown columns will go into a bag. |
| This way, wide rows can still be handled by the bag, but known columns can easily be referenced. |
| */ |
| |
| // top-level schema, no type |
| ResourceSchema schema = new ResourceSchema(); |
| |
| // get default marshallers and validators |
| List<AbstractType> marshallers = getDefaultMarshallers(cfDef); |
| Map<ByteBuffer,AbstractType> validators = getValidatorMap(cfDef); |
| |
| // add key |
| ResourceFieldSchema keyFieldSchema = new ResourceFieldSchema(); |
| keyFieldSchema.setName("key"); |
| keyFieldSchema.setType(getPigType(marshallers.get(2))); |
| |
| ResourceSchema bagSchema = new ResourceSchema(); |
| ResourceFieldSchema bagField = new ResourceFieldSchema(); |
| bagField.setType(DataType.BAG); |
| bagField.setName("columns"); |
| // inside the bag, place one tuple with the default comparator/validator schema |
| ResourceSchema bagTupleSchema = new ResourceSchema(); |
| ResourceFieldSchema bagTupleField = new ResourceFieldSchema(); |
| bagTupleField.setType(DataType.TUPLE); |
| ResourceFieldSchema bagcolSchema = new ResourceFieldSchema(); |
| ResourceFieldSchema bagvalSchema = new ResourceFieldSchema(); |
| bagcolSchema.setName("name"); |
| bagvalSchema.setName("value"); |
| bagcolSchema.setType(getPigType(marshallers.get(0))); |
| bagvalSchema.setType(getPigType(marshallers.get(1))); |
| bagTupleSchema.setFields(new ResourceFieldSchema[] { bagcolSchema, bagvalSchema }); |
| bagTupleField.setSchema(bagTupleSchema); |
| bagSchema.setFields(new ResourceFieldSchema[] { bagTupleField }); |
| bagField.setSchema(bagSchema); |
| |
| // will contain all fields for this schema |
| List<ResourceFieldSchema> allSchemaFields = new ArrayList<ResourceFieldSchema>(); |
| // add the key first, then the indexed columns, and finally the bag |
| allSchemaFields.add(keyFieldSchema); |
| |
| // defined validators/indexes |
| for (ColumnDef cdef : cfDef.column_metadata) |
| { |
| // make a new tuple for each col/val pair |
| ResourceSchema innerTupleSchema = new ResourceSchema(); |
| ResourceFieldSchema innerTupleField = new ResourceFieldSchema(); |
| innerTupleField.setType(DataType.TUPLE); |
| innerTupleField.setSchema(innerTupleSchema); |
| innerTupleField.setName(new String(cdef.getName())); |
| |
| ResourceFieldSchema idxColSchema = new ResourceFieldSchema(); |
| idxColSchema.setName("name"); |
| idxColSchema.setType(getPigType(marshallers.get(0))); |
| |
| ResourceFieldSchema valSchema = new ResourceFieldSchema(); |
| AbstractType validator = validators.get(cdef.name); |
| if (validator == null) |
| validator = marshallers.get(1); |
| valSchema.setName("value"); |
| valSchema.setType(getPigType(validator)); |
| |
| innerTupleSchema.setFields(new ResourceFieldSchema[] { idxColSchema, valSchema }); |
| allSchemaFields.add(innerTupleField); |
| } |
| // bag at the end for unknown columns |
| allSchemaFields.add(bagField); |
| |
| // add top-level index elements if needed |
| if (usePartitionFilter) |
| { |
| for (ColumnDef cdef : getIndexes()) |
| { |
| ResourceFieldSchema idxSchema = new ResourceFieldSchema(); |
| idxSchema.setName("index_" + new String(cdef.getName())); |
| AbstractType validator = validators.get(cdef.name); |
| if (validator == null) |
| validator = marshallers.get(1); |
| idxSchema.setType(getPigType(validator)); |
| allSchemaFields.add(idxSchema); |
| } |
| } |
| // top level schema contains everything |
| schema.setFields(allSchemaFields.toArray(new ResourceFieldSchema[allSchemaFields.size()])); |
| return schema; |
| } |
| |
| private byte getPigType(AbstractType type) |
| { |
| if (type instanceof LongType || type instanceof DateType) // DateType is bad and it should feel bad |
| return DataType.LONG; |
| else if (type instanceof IntegerType || type instanceof Int32Type) // IntegerType will overflow at 2**31, but is kept for compatibility until pig has a BigInteger |
| return DataType.INTEGER; |
| else if (type instanceof AsciiType) |
| return DataType.CHARARRAY; |
| else if (type instanceof UTF8Type) |
| return DataType.CHARARRAY; |
| else if (type instanceof FloatType) |
| return DataType.FLOAT; |
| else if (type instanceof DoubleType) |
| return DataType.DOUBLE; |
| else if (type instanceof AbstractCompositeType ) |
| return DataType.TUPLE; |
| |
| return DataType.BYTEARRAY; |
| } |
| |
| public ResourceStatistics getStatistics(String location, Job job) |
| { |
| return null; |
| } |
| |
| public String[] getPartitionKeys(String location, Job job) |
| { |
| if (!usePartitionFilter) |
| return null; |
| List<ColumnDef> indexes = getIndexes(); |
| String[] partitionKeys = new String[indexes.size()]; |
| for (int i = 0; i < indexes.size(); i++) |
| { |
| partitionKeys[i] = new String(indexes.get(i).getName()); |
| } |
| return partitionKeys; |
| } |
| |
| public void setPartitionFilter(Expression partitionFilter) |
| { |
| UDFContext context = UDFContext.getUDFContext(); |
| Properties property = context.getUDFProperties(CassandraStorage.class); |
| property.setProperty(PARTITION_FILTER_SIGNATURE, indexExpressionsToString(filterToIndexExpressions(partitionFilter))); |
| } |
| |
| private List<IndexExpression> filterToIndexExpressions(Expression expression) |
| { |
| List<IndexExpression> indexExpressions = new ArrayList<IndexExpression>(); |
| Expression.BinaryExpression be = (Expression.BinaryExpression)expression; |
| ByteBuffer name = ByteBuffer.wrap(be.getLhs().toString().getBytes()); |
| ByteBuffer value = ByteBuffer.wrap(be.getRhs().toString().getBytes()); |
| switch (expression.getOpType()) |
| { |
| case OP_EQ: |
| indexExpressions.add(new IndexExpression(name, IndexOperator.EQ, value)); |
| break; |
| case OP_GE: |
| indexExpressions.add(new IndexExpression(name, IndexOperator.GTE, value)); |
| break; |
| case OP_GT: |
| indexExpressions.add(new IndexExpression(name, IndexOperator.GT, value)); |
| break; |
| case OP_LE: |
| indexExpressions.add(new IndexExpression(name, IndexOperator.LTE, value)); |
| break; |
| case OP_LT: |
| indexExpressions.add(new IndexExpression(name, IndexOperator.LT, value)); |
| break; |
| case OP_AND: |
| indexExpressions.addAll(filterToIndexExpressions(be.getLhs())); |
| indexExpressions.addAll(filterToIndexExpressions(be.getRhs())); |
| break; |
| default: |
| throw new RuntimeException("Unsupported expression type: " + expression.getOpType().name()); |
| } |
| return indexExpressions; |
| } |
| |
| private List<ColumnDef> getIndexes() |
| { |
| CfDef cfdef = getCfDef(loadSignature); |
| List<ColumnDef> indexes = new ArrayList<ColumnDef>(); |
| for (ColumnDef cdef : cfdef.column_metadata) |
| { |
| if (cdef.index_type != null) |
| indexes.add(cdef); |
| } |
| return indexes; |
| } |
| |
| @Override |
| public String relativeToAbsolutePath(String location, Path curDir) throws IOException |
| { |
| return location; |
| } |
| |
| @Override |
| public void setUDFContextSignature(String signature) |
| { |
| this.loadSignature = signature; |
| } |
| |
| /* StoreFunc methods */ |
| public void setStoreFuncUDFContextSignature(String signature) |
| { |
| this.storeSignature = signature; |
| } |
| |
| public String relToAbsPathForStoreLocation(String location, Path curDir) throws IOException |
| { |
| return relativeToAbsolutePath(location, curDir); |
| } |
| |
| public void setStoreLocation(String location, Job job) throws IOException |
| { |
| conf = job.getConfiguration(); |
| setLocationFromUri(location); |
| ConfigHelper.setOutputColumnFamily(conf, keyspace, column_family); |
| setConnectionInformation(); |
| |
| if (ConfigHelper.getOutputRpcPort(conf) == 0) |
| throw new IOException("PIG_OUTPUT_RPC_PORT or PIG_RPC_PORT environment variable not set"); |
| if (ConfigHelper.getOutputInitialAddress(conf) == null) |
| throw new IOException("PIG_OUTPUT_INITIAL_ADDRESS or PIG_INITIAL_ADDRESS environment variable not set"); |
| if (ConfigHelper.getOutputPartitioner(conf) == null) |
| throw new IOException("PIG_OUTPUT_PARTITIONER or PIG_PARTITIONER environment variable not set"); |
| |
| // we have to do this again here for the check in writeColumnsFromTuple |
| if (System.getenv(PIG_USE_SECONDARY) != null) |
| usePartitionFilter = Boolean.valueOf(System.getenv(PIG_USE_SECONDARY)); |
| |
| initSchema(storeSignature); |
| } |
| |
| public OutputFormat getOutputFormat() |
| { |
| try |
| { |
| return FBUtilities.construct(outputFormatClass, "outputformat"); |
| } |
| catch (ConfigurationException e) |
| { |
| throw new RuntimeException(e); |
| } |
| } |
| |
| public void checkSchema(ResourceSchema schema) throws IOException |
| { |
| // we don't care about types, they all get casted to ByteBuffers |
| } |
| |
| public void prepareToWrite(RecordWriter writer) |
| { |
| this.writer = writer; |
| } |
| |
| private ByteBuffer objToBB(Object o) |
| { |
| if (o == null) |
| return (ByteBuffer)o; |
| if (o instanceof java.lang.String) |
| return ByteBuffer.wrap(new DataByteArray((String)o).get()); |
| if (o instanceof Integer) |
| return Int32Type.instance.decompose((Integer)o); |
| if (o instanceof Long) |
| return LongType.instance.decompose((Long)o); |
| if (o instanceof Float) |
| return FloatType.instance.decompose((Float)o); |
| if (o instanceof Double) |
| return DoubleType.instance.decompose((Double)o); |
| if (o instanceof UUID) |
| return ByteBuffer.wrap(UUIDGen.decompose((UUID) o)); |
| if(o instanceof Tuple) { |
| List<Object> objects = ((Tuple)o).getAll(); |
| List<ByteBuffer> serialized = new ArrayList<ByteBuffer>(objects.size()); |
| int totalLength = 0; |
| for(Object sub : objects) |
| { |
| ByteBuffer buffer = objToBB(sub); |
| serialized.add(buffer); |
| totalLength += 2 + buffer.remaining() + 1; |
| } |
| ByteBuffer out = ByteBuffer.allocate(totalLength); |
| for (ByteBuffer bb : serialized) |
| { |
| int length = bb.remaining(); |
| out.put((byte) ((length >> 8) & 0xFF)); |
| out.put((byte) (length & 0xFF)); |
| out.put(bb); |
| out.put((byte) 0); |
| } |
| out.flip(); |
| return out; |
| } |
| |
| return ByteBuffer.wrap(((DataByteArray) o).get()); |
| } |
| |
| public void putNext(Tuple t) throws IOException |
| { |
| /* |
| We support two cases for output: |
| First, the original output: |
| (key, (name, value), (name,value), {(name,value)}) (tuples or bag is optional) |
| For supers, we only accept the original output. |
| */ |
| |
| if (t.size() < 1) |
| { |
| // simply nothing here, we can't even delete without a key |
| logger.warn("Empty output skipped, filter empty tuples to suppress this warning"); |
| return; |
| } |
| ByteBuffer key = objToBB(t.get(0)); |
| if (t.getType(1) == DataType.TUPLE) |
| writeColumnsFromTuple(key, t, 1); |
| else if (t.getType(1) == DataType.BAG) |
| { |
| if (t.size() > 2) |
| throw new IOException("No arguments allowed after bag"); |
| writeColumnsFromBag(key, (DefaultDataBag) t.get(1)); |
| } |
| else |
| throw new IOException("Second argument in output must be a tuple or bag"); |
| } |
| |
| private void writeColumnsFromTuple(ByteBuffer key, Tuple t, int offset) throws IOException |
| { |
| ArrayList<Mutation> mutationList = new ArrayList<Mutation>(); |
| for (int i = offset; i < t.size(); i++) |
| { |
| if (t.getType(i) == DataType.BAG) |
| writeColumnsFromBag(key, (DefaultDataBag) t.get(i)); |
| else if (t.getType(i) == DataType.TUPLE) |
| { |
| Tuple inner = (Tuple) t.get(i); |
| if (inner.size() > 0) // may be empty, for an indexed column that wasn't present |
| mutationList.add(mutationFromTuple(inner)); |
| } |
| else if (!usePartitionFilter) |
| { |
| throw new IOException("Output type was not a bag or a tuple"); |
| } |
| } |
| if (mutationList.size() > 0) |
| writeMutations(key, mutationList); |
| } |
| |
| private Mutation mutationFromTuple(Tuple t) throws IOException |
| { |
| Mutation mutation = new Mutation(); |
| if (t.get(1) == null) |
| { |
| if (allow_deletes) |
| { |
| mutation.deletion = new Deletion(); |
| mutation.deletion.predicate = new org.apache.cassandra.thrift.SlicePredicate(); |
| mutation.deletion.predicate.column_names = Arrays.asList(objToBB(t.get(0))); |
| mutation.deletion.setTimestamp(FBUtilities.timestampMicros()); |
| } |
| else |
| throw new IOException("null found but deletes are disabled, set " + PIG_ALLOW_DELETES + |
| "=true in environment or allow_deletes=true in URL to enable"); |
| } |
| else |
| { |
| org.apache.cassandra.thrift.Column column = new org.apache.cassandra.thrift.Column(); |
| column.setName(objToBB(t.get(0))); |
| column.setValue(objToBB(t.get(1))); |
| column.setTimestamp(FBUtilities.timestampMicros()); |
| mutation.column_or_supercolumn = new ColumnOrSuperColumn(); |
| mutation.column_or_supercolumn.column = column; |
| } |
| return mutation; |
| } |
| |
| private void writeColumnsFromBag(ByteBuffer key, DefaultDataBag bag) throws IOException |
| { |
| List<Mutation> mutationList = new ArrayList<Mutation>(); |
| for (Tuple pair : bag) |
| { |
| Mutation mutation = new Mutation(); |
| if (DataType.findType(pair.get(1)) == DataType.BAG) // supercolumn |
| { |
| SuperColumn sc = new SuperColumn(); |
| sc.setName(objToBB(pair.get(0))); |
| List<org.apache.cassandra.thrift.Column> columns = new ArrayList<org.apache.cassandra.thrift.Column>(); |
| for (Tuple subcol : (DefaultDataBag) pair.get(1)) |
| { |
| org.apache.cassandra.thrift.Column column = new org.apache.cassandra.thrift.Column(); |
| column.setName(objToBB(subcol.get(0))); |
| column.setValue(objToBB(subcol.get(1))); |
| column.setTimestamp(FBUtilities.timestampMicros()); |
| columns.add(column); |
| } |
| if (columns.isEmpty()) |
| { |
| if (allow_deletes) |
| { |
| mutation.deletion = new Deletion(); |
| mutation.deletion.super_column = objToBB(pair.get(0)); |
| mutation.deletion.setTimestamp(FBUtilities.timestampMicros()); |
| } |
| else |
| throw new IOException("SuperColumn deletion attempted with empty bag, but deletes are disabled, set " + |
| PIG_ALLOW_DELETES + "=true in environment or allow_deletes=true in URL to enable"); |
| } |
| else |
| { |
| sc.columns = columns; |
| mutation.column_or_supercolumn = new ColumnOrSuperColumn(); |
| mutation.column_or_supercolumn.super_column = sc; |
| } |
| } |
| else |
| mutation = mutationFromTuple(pair); |
| mutationList.add(mutation); |
| // for wide rows, we need to limit the amount of mutations we write at once |
| if (mutationList.size() >= 10) // arbitrary, CFOF will re-batch this up, and BOF won't care |
| { |
| writeMutations(key, mutationList); |
| mutationList.clear(); |
| } |
| } |
| // write the last batch |
| if (mutationList.size() > 0) |
| writeMutations(key, mutationList); |
| } |
| |
| private void writeMutations(ByteBuffer key, List<Mutation> mutations) throws IOException |
| { |
| try |
| { |
| writer.write(key, mutations); |
| } |
| catch (InterruptedException e) |
| { |
| throw new IOException(e); |
| } |
| } |
| |
| public void cleanupOnFailure(String failure, Job job) |
| { |
| } |
| |
| /* Methods to get the column family schema from Cassandra */ |
| |
| private void initSchema(String signature) |
| { |
| UDFContext context = UDFContext.getUDFContext(); |
| Properties property = context.getUDFProperties(CassandraStorage.class); |
| |
| // Only get the schema if we haven't already gotten it |
| if (!property.containsKey(signature)) |
| { |
| Cassandra.Client client = null; |
| try |
| { |
| client = ConfigHelper.getClientFromInputAddressList(conf); |
| CfDef cfDef = null; |
| client.set_keyspace(keyspace); |
| KsDef ksDef = client.describe_keyspace(keyspace); |
| List<CfDef> defs = ksDef.getCf_defs(); |
| for (CfDef def : defs) |
| { |
| if (column_family.equalsIgnoreCase(def.getName())) |
| { |
| cfDef = def; |
| break; |
| } |
| } |
| if (cfDef != null) |
| property.setProperty(signature, cfdefToString(cfDef)); |
| else |
| throw new RuntimeException("Column family '" + column_family + "' not found in keyspace '" + keyspace + "'"); |
| } |
| catch (TException e) |
| { |
| throw new RuntimeException(e); |
| } |
| catch (InvalidRequestException e) |
| { |
| throw new RuntimeException(e); |
| } |
| catch (NotFoundException e) |
| { |
| throw new RuntimeException(e); |
| } |
| catch (IOException e) |
| { |
| throw new RuntimeException(e); |
| } |
| } |
| } |
| |
| private static String cfdefToString(CfDef cfDef) |
| { |
| assert cfDef != null; |
| // this is so awful it's kind of cool! |
| TSerializer serializer = new TSerializer(new TBinaryProtocol.Factory()); |
| try |
| { |
| return Hex.bytesToHex(serializer.serialize(cfDef)); |
| } |
| catch (TException e) |
| { |
| throw new RuntimeException(e); |
| } |
| } |
| |
| private static CfDef cfdefFromString(String st) |
| { |
| assert st != null; |
| TDeserializer deserializer = new TDeserializer(new TBinaryProtocol.Factory()); |
| CfDef cfDef = new CfDef(); |
| try |
| { |
| deserializer.deserialize(cfDef, Hex.hexToBytes(st)); |
| } |
| catch (TException e) |
| { |
| throw new RuntimeException(e); |
| } |
| return cfDef; |
| } |
| |
| private static String indexExpressionsToString(List<IndexExpression> indexExpressions) |
| { |
| assert indexExpressions != null; |
| // oh, you thought cfdefToString was awful? |
| IndexClause indexClause = new IndexClause(); |
| indexClause.setExpressions(indexExpressions); |
| indexClause.setStart_key("".getBytes()); |
| TSerializer serializer = new TSerializer(new TBinaryProtocol.Factory()); |
| try |
| { |
| return Hex.bytesToHex(serializer.serialize(indexClause)); |
| } |
| catch (TException e) |
| { |
| throw new RuntimeException(e); |
| } |
| } |
| |
| private static List<IndexExpression> indexExpressionsFromString(String ie) |
| { |
| assert ie != null; |
| TDeserializer deserializer = new TDeserializer(new TBinaryProtocol.Factory()); |
| IndexClause indexClause = new IndexClause(); |
| try |
| { |
| deserializer.deserialize(indexClause, Hex.hexToBytes(ie)); |
| } |
| catch (TException e) |
| { |
| throw new RuntimeException(e); |
| } |
| return indexClause.getExpressions(); |
| } |
| } |
| |
