cassandra/src/java/org/apache/cassandra/schema/SchemaKeyspace.java

1697 lines
74 KiB
Java

/*
* 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.schema;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.charset.CharacterCodingException;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import java.util.stream.Collectors;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.MapDifference;
import com.google.common.collect.Maps;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.cassandra.config.*;
import org.apache.cassandra.config.ColumnDefinition.ClusteringOrder;
import org.apache.cassandra.cql3.ColumnIdentifier;
import org.apache.cassandra.cql3.QueryProcessor;
import org.apache.cassandra.cql3.UntypedResultSet;
import org.apache.cassandra.cql3.functions.*;
import org.apache.cassandra.db.*;
import org.apache.cassandra.db.marshal.*;
import org.apache.cassandra.db.partitions.*;
import org.apache.cassandra.db.rows.*;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.cassandra.exceptions.InvalidRequestException;
import org.apache.cassandra.utils.ByteBufferUtil;
import org.apache.cassandra.utils.FBUtilities;
import org.apache.cassandra.utils.concurrent.OpOrder;
import static org.apache.cassandra.cql3.QueryProcessor.executeOnceInternal;
/**
* system_schema.* tables and methods for manipulating them.
*/
public final class SchemaKeyspace
{
private SchemaKeyspace()
{
}
private static final Logger logger = LoggerFactory.getLogger(SchemaKeyspace.class);
public static final String NAME = "system_schema";
public static final String KEYSPACES = "keyspaces";
public static final String TABLES = "tables";
public static final String COLUMNS = "columns";
public static final String DROPPED_COLUMNS = "dropped_columns";
public static final String TRIGGERS = "triggers";
public static final String VIEWS = "views";
public static final String TYPES = "types";
public static final String FUNCTIONS = "functions";
public static final String AGGREGATES = "aggregates";
public static final String INDEXES = "indexes";
public static final List<String> ALL =
ImmutableList.of(KEYSPACES, TABLES, COLUMNS, TRIGGERS, VIEWS, TYPES, FUNCTIONS, AGGREGATES, INDEXES);
private static final CFMetaData Keyspaces =
compile(KEYSPACES,
"keyspace definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "durable_writes boolean,"
+ "replication frozen<map<text, text>>,"
+ "PRIMARY KEY ((keyspace_name)))");
private static final CFMetaData Tables =
compile(TABLES,
"table definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "table_name text,"
+ "bloom_filter_fp_chance double,"
+ "caching frozen<map<text, text>>,"
+ "comment text,"
+ "compaction frozen<map<text, text>>,"
+ "compression frozen<map<text, text>>,"
+ "dclocal_read_repair_chance double,"
+ "default_time_to_live int,"
+ "extensions frozen<map<text, blob>>,"
+ "flags frozen<set<text>>," // SUPER, COUNTER, DENSE, COMPOUND
+ "gc_grace_seconds int,"
+ "id uuid,"
+ "max_index_interval int,"
+ "memtable_flush_period_in_ms int,"
+ "min_index_interval int,"
+ "read_repair_chance double,"
+ "speculative_retry text,"
+ "PRIMARY KEY ((keyspace_name), table_name))");
private static final CFMetaData Columns =
compile(COLUMNS,
"column definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "table_name text,"
+ "column_name text,"
+ "clustering_order text,"
+ "column_name_bytes blob,"
+ "kind text,"
+ "position int,"
+ "type text,"
+ "PRIMARY KEY ((keyspace_name), table_name, column_name))");
private static final CFMetaData DroppedColumns =
compile(DROPPED_COLUMNS,
"dropped column registry",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "table_name text,"
+ "column_name text,"
+ "dropped_time timestamp,"
+ "type text,"
+ "PRIMARY KEY ((keyspace_name), table_name, column_name))");
private static final CFMetaData Triggers =
compile(TRIGGERS,
"trigger definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "table_name text,"
+ "trigger_name text,"
+ "options frozen<map<text, text>>,"
+ "PRIMARY KEY ((keyspace_name), table_name, trigger_name))");
private static final CFMetaData Views =
compile(VIEWS,
"view definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "view_name text,"
+ "base_table_id uuid,"
+ "base_table_name text,"
+ "bloom_filter_fp_chance double,"
+ "caching frozen<map<text, text>>,"
+ "comment text,"
+ "compaction frozen<map<text, text>>,"
+ "compression frozen<map<text, text>>,"
+ "dclocal_read_repair_chance double,"
+ "default_time_to_live int,"
+ "extensions frozen<map<text, blob>>,"
+ "gc_grace_seconds int,"
+ "id uuid,"
+ "include_all_columns boolean,"
+ "max_index_interval int,"
+ "memtable_flush_period_in_ms int,"
+ "min_index_interval int,"
+ "read_repair_chance double,"
+ "speculative_retry text,"
+ "PRIMARY KEY ((keyspace_name), view_name))");
private static final CFMetaData Indexes =
compile(INDEXES,
"secondary index definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "table_name text,"
+ "index_name text,"
+ "kind text,"
+ "options frozen<map<text, text>>,"
+ "PRIMARY KEY ((keyspace_name), table_name, index_name))");
private static final CFMetaData Types =
compile(TYPES,
"user defined type definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "type_name text,"
+ "field_names frozen<list<text>>,"
+ "field_types frozen<list<text>>,"
+ "PRIMARY KEY ((keyspace_name), type_name))");
private static final CFMetaData Functions =
compile(FUNCTIONS,
"user defined function definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "function_name text,"
+ "signature frozen<list<text>>,"
+ "argument_names frozen<list<text>>,"
+ "argument_types frozen<list<text>>,"
+ "body text,"
+ "language text,"
+ "return_type text,"
+ "called_on_null_input boolean,"
+ "PRIMARY KEY ((keyspace_name), function_name, signature))");
private static final CFMetaData Aggregates =
compile(AGGREGATES,
"user defined aggregate definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "aggregate_name text,"
+ "signature frozen<list<text>>,"
+ "argument_types frozen<list<text>>,"
+ "final_func text,"
+ "initcond blob,"
+ "return_type text,"
+ "state_func text,"
+ "state_type text,"
+ "PRIMARY KEY ((keyspace_name), aggregate_name, signature))");
public static final List<CFMetaData> ALL_TABLE_METADATA =
ImmutableList.of(Keyspaces, Tables, Columns, Triggers, DroppedColumns, Views, Types, Functions, Aggregates, Indexes);
private static CFMetaData compile(String name, String description, String schema)
{
return CFMetaData.compile(String.format(schema, name), NAME)
.comment(description)
.gcGraceSeconds((int) TimeUnit.DAYS.toSeconds(7));
}
public static KeyspaceMetadata metadata()
{
return KeyspaceMetadata.create(NAME, KeyspaceParams.local(), org.apache.cassandra.schema.Tables.of(ALL_TABLE_METADATA));
}
/**
* Add entries to system_schema.* for the hardcoded system keyspaces
*/
public static void saveSystemKeyspacesSchema()
{
KeyspaceMetadata system = Schema.instance.getKSMetaData(SystemKeyspace.NAME);
KeyspaceMetadata schema = Schema.instance.getKSMetaData(NAME);
long timestamp = FBUtilities.timestampMicros();
// delete old, possibly obsolete entries in schema tables
for (String schemaTable : ALL)
{
String query = String.format("DELETE FROM %s.%s USING TIMESTAMP ? WHERE keyspace_name = ?", NAME, schemaTable);
for (String systemKeyspace : Schema.SYSTEM_KEYSPACE_NAMES)
executeOnceInternal(query, timestamp, systemKeyspace);
}
// (+1 to timestamp to make sure we don't get shadowed by the tombstones we just added)
makeCreateKeyspaceMutation(system, timestamp + 1).apply();
makeCreateKeyspaceMutation(schema, timestamp + 1).apply();
}
public static List<KeyspaceMetadata> readSchemaFromSystemTables()
{
ReadCommand cmd = getReadCommandForTableSchema(KEYSPACES);
try (ReadOrderGroup orderGroup = cmd.startOrderGroup(); PartitionIterator schema = cmd.executeInternal(orderGroup))
{
List<KeyspaceMetadata> keyspaces = new ArrayList<>();
while (schema.hasNext())
{
try (RowIterator partition = schema.next())
{
if (isSystemKeyspaceSchemaPartition(partition.partitionKey()))
continue;
DecoratedKey key = partition.partitionKey();
readSchemaPartitionForKeyspaceAndApply(TYPES, key,
types -> readSchemaPartitionForKeyspaceAndApply(TABLES, key,
tables -> readSchemaPartitionForKeyspaceAndApply(VIEWS, key,
views -> readSchemaPartitionForKeyspaceAndApply(FUNCTIONS, key,
functions -> readSchemaPartitionForKeyspaceAndApply(AGGREGATES, key,
aggregates -> keyspaces.add(createKeyspaceFromSchemaPartitions(partition, tables, views, types, functions, aggregates))))))
);
}
}
return keyspaces;
}
}
public static void truncate()
{
ALL.forEach(table -> getSchemaCFS(table).truncateBlocking());
}
static void flush()
{
if (!Boolean.getBoolean("cassandra.unsafesystem"))
ALL.forEach(table -> FBUtilities.waitOnFuture(getSchemaCFS(table).forceFlush()));
}
/**
* Read schema from system keyspace and calculate MD5 digest of every row, resulting digest
* will be converted into UUID which would act as content-based version of the schema.
*/
public static UUID calculateSchemaDigest()
{
MessageDigest digest;
try
{
digest = MessageDigest.getInstance("MD5");
}
catch (NoSuchAlgorithmException e)
{
throw new RuntimeException(e);
}
for (String table : ALL)
{
ReadCommand cmd = getReadCommandForTableSchema(table);
try (ReadOrderGroup orderGroup = cmd.startOrderGroup();
PartitionIterator schema = cmd.executeInternal(orderGroup))
{
while (schema.hasNext())
{
try (RowIterator partition = schema.next())
{
if (!isSystemKeyspaceSchemaPartition(partition.partitionKey()))
RowIterators.digest(partition, digest);
}
}
}
}
return UUID.nameUUIDFromBytes(digest.digest());
}
/**
* @param schemaTableName The name of the table responsible for part of the schema
* @return CFS responsible to hold low-level serialized schema
*/
private static ColumnFamilyStore getSchemaCFS(String schemaTableName)
{
return Keyspace.open(NAME).getColumnFamilyStore(schemaTableName);
}
/**
* @param schemaTableName The name of the table responsible for part of the schema.
* @return low-level schema representation
*/
private static ReadCommand getReadCommandForTableSchema(String schemaTableName)
{
ColumnFamilyStore cfs = getSchemaCFS(schemaTableName);
return PartitionRangeReadCommand.allDataRead(cfs.metadata, FBUtilities.nowInSeconds());
}
public static Collection<Mutation> convertSchemaToMutations()
{
Map<DecoratedKey, Mutation> mutationMap = new HashMap<>();
for (String table : ALL)
convertSchemaToMutations(mutationMap, table);
return mutationMap.values();
}
private static void convertSchemaToMutations(Map<DecoratedKey, Mutation> mutationMap, String schemaTableName)
{
ReadCommand cmd = getReadCommandForTableSchema(schemaTableName);
try (ReadOrderGroup orderGroup = cmd.startOrderGroup(); UnfilteredPartitionIterator iter = cmd.executeLocally(orderGroup))
{
while (iter.hasNext())
{
try (UnfilteredRowIterator partition = iter.next())
{
if (isSystemKeyspaceSchemaPartition(partition.partitionKey()))
continue;
DecoratedKey key = partition.partitionKey();
Mutation mutation = mutationMap.get(key);
if (mutation == null)
{
mutation = new Mutation(NAME, key);
mutationMap.put(key, mutation);
}
mutation.add(PartitionUpdate.fromIterator(partition));
}
}
}
}
private static Map<DecoratedKey, FilteredPartition> readSchemaForKeyspaces(String schemaTableName, Set<String> keyspaceNames)
{
Map<DecoratedKey, FilteredPartition> schema = new HashMap<>();
for (String keyspaceName : keyspaceNames)
{
// We don't to return the RowIterator directly because we should guarantee that this iterator
// will be closed, and putting it in a Map make that harder/more awkward.
readSchemaPartitionForKeyspaceAndApply(schemaTableName, keyspaceName,
partition -> {
if (!partition.isEmpty())
schema.put(partition.partitionKey(), FilteredPartition.create(partition));
return null;
}
);
}
return schema;
}
private static ByteBuffer getSchemaKSKey(String ksName)
{
return AsciiType.instance.fromString(ksName);
}
private static <T> T readSchemaPartitionForKeyspaceAndApply(String schemaTableName, String keyspaceName, Function<RowIterator, T> fct)
{
return readSchemaPartitionForKeyspaceAndApply(schemaTableName, getSchemaKSKey(keyspaceName), fct);
}
private static <T> T readSchemaPartitionForKeyspaceAndApply(String schemaTableName, ByteBuffer keyspaceKey, Function<RowIterator, T> fct)
{
ColumnFamilyStore store = getSchemaCFS(schemaTableName);
return readSchemaPartitionForKeyspaceAndApply(store, store.decorateKey(keyspaceKey), fct);
}
private static <T> T readSchemaPartitionForKeyspaceAndApply(String schemaTableName, DecoratedKey keyspaceKey, Function<RowIterator, T> fct)
{
return readSchemaPartitionForKeyspaceAndApply(getSchemaCFS(schemaTableName), keyspaceKey, fct);
}
private static <T> T readSchemaPartitionForKeyspaceAndApply(ColumnFamilyStore store, DecoratedKey keyspaceKey, Function<RowIterator, T> fct)
{
int nowInSec = FBUtilities.nowInSeconds();
try (OpOrder.Group op = store.readOrdering.start();
RowIterator partition = UnfilteredRowIterators.filter(SinglePartitionReadCommand.fullPartitionRead(store.metadata, nowInSec, keyspaceKey)
.queryMemtableAndDisk(store, op), nowInSec))
{
return fct.apply(partition);
}
}
private static <T> T readSchemaPartitionForTableAndApply(String schemaTableName, String keyspaceName, String tableName, Function<RowIterator, T> fct)
{
ColumnFamilyStore store = getSchemaCFS(schemaTableName);
ClusteringComparator comparator = store.metadata.comparator;
Slices slices = Slices.with(comparator, Slice.make(comparator, tableName));
int nowInSec = FBUtilities.nowInSeconds();
try (OpOrder.Group op = store.readOrdering.start();
RowIterator partition = UnfilteredRowIterators.filter(SinglePartitionSliceCommand.create(store.metadata, nowInSec, getSchemaKSKey(keyspaceName), slices)
.queryMemtableAndDisk(store, op), nowInSec))
{
return fct.apply(partition);
}
}
private static boolean isSystemKeyspaceSchemaPartition(DecoratedKey partitionKey)
{
return Schema.isSystemKeyspace(UTF8Type.instance.compose(partitionKey.getKey()));
}
/**
* Merge remote schema in form of mutations with local and mutate ks/cf metadata objects
* (which also involves fs operations on add/drop ks/cf)
*
* @param mutations the schema changes to apply
*
* @throws ConfigurationException If one of metadata attributes has invalid value
* @throws IOException If data was corrupted during transportation or failed to apply fs operations
*/
public static synchronized void mergeSchema(Collection<Mutation> mutations) throws ConfigurationException, IOException
{
mergeSchema(mutations, true);
Schema.instance.updateVersionAndAnnounce();
}
public static synchronized void mergeSchema(Collection<Mutation> mutations, boolean doFlush) throws IOException
{
// compare before/after schemas of the affected keyspaces only
Set<String> keyspaces = new HashSet<>(mutations.size());
for (Mutation mutation : mutations)
keyspaces.add(ByteBufferUtil.string(mutation.key().getKey()));
// current state of the schema
Map<DecoratedKey, FilteredPartition> oldKeyspaces = readSchemaForKeyspaces(KEYSPACES, keyspaces);
Map<DecoratedKey, FilteredPartition> oldColumnFamilies = readSchemaForKeyspaces(TABLES, keyspaces);
Map<DecoratedKey, FilteredPartition> oldViews = readSchemaForKeyspaces(VIEWS, keyspaces);
Map<DecoratedKey, FilteredPartition> oldTypes = readSchemaForKeyspaces(TYPES, keyspaces);
Map<DecoratedKey, FilteredPartition> oldFunctions = readSchemaForKeyspaces(FUNCTIONS, keyspaces);
Map<DecoratedKey, FilteredPartition> oldAggregates = readSchemaForKeyspaces(AGGREGATES, keyspaces);
mutations.forEach(Mutation::apply);
if (doFlush)
flush();
// with new data applied
Map<DecoratedKey, FilteredPartition> newKeyspaces = readSchemaForKeyspaces(KEYSPACES, keyspaces);
Map<DecoratedKey, FilteredPartition> newColumnFamilies = readSchemaForKeyspaces(TABLES, keyspaces);
Map<DecoratedKey, FilteredPartition> newViews = readSchemaForKeyspaces(VIEWS, keyspaces);
Map<DecoratedKey, FilteredPartition> newTypes = readSchemaForKeyspaces(TYPES, keyspaces);
Map<DecoratedKey, FilteredPartition> newFunctions = readSchemaForKeyspaces(FUNCTIONS, keyspaces);
Map<DecoratedKey, FilteredPartition> newAggregates = readSchemaForKeyspaces(AGGREGATES, keyspaces);
Set<String> keyspacesToDrop = mergeKeyspaces(oldKeyspaces, newKeyspaces);
mergeTables(oldColumnFamilies, newColumnFamilies);
mergeViews(oldViews, newViews);
mergeTypes(oldTypes, newTypes);
mergeFunctions(oldFunctions, newFunctions);
mergeAggregates(oldAggregates, newAggregates);
// it is safe to drop a keyspace only when all nested ColumnFamilies where deleted
keyspacesToDrop.forEach(Schema.instance::dropKeyspace);
}
private static Set<String> mergeKeyspaces(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
for (FilteredPartition newPartition : after.values())
{
String name = AsciiType.instance.compose(newPartition.partitionKey().getKey());
KeyspaceParams params = createKeyspaceParamsFromSchemaPartition(newPartition.rowIterator());
FilteredPartition oldPartition = before.remove(newPartition.partitionKey());
if (oldPartition == null || oldPartition.isEmpty())
Schema.instance.addKeyspace(KeyspaceMetadata.create(name, params));
else
Schema.instance.updateKeyspace(name, params);
}
// What's remain in old is those keyspace that are not in updated, i.e. the dropped ones.
return asKeyspaceNamesSet(before.keySet());
}
private static Set<String> asKeyspaceNamesSet(Set<DecoratedKey> keys)
{
Set<String> names = new HashSet<>(keys.size());
for (DecoratedKey key : keys)
names.add(AsciiType.instance.compose(key.getKey()));
return names;
}
private static void mergeTables(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
diffSchema(before, after, new Differ()
{
public void onDropped(UntypedResultSet.Row oldRow)
{
Schema.instance.dropTable(oldRow.getString("keyspace_name"), oldRow.getString("table_name"));
}
public void onAdded(UntypedResultSet.Row newRow)
{
Schema.instance.addTable(createTableFromTableRow(newRow));
}
public void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow)
{
Schema.instance.updateTable(newRow.getString("keyspace_name"), newRow.getString("table_name"));
}
});
}
private static void mergeViews(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
diffSchema(before, after, new Differ()
{
public void onDropped(UntypedResultSet.Row oldRow)
{
Schema.instance.dropView(oldRow.getString("keyspace_name"), oldRow.getString("view_name"));
}
public void onAdded(UntypedResultSet.Row newRow)
{
Schema.instance.addView(createViewFromViewRow(newRow));
}
public void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow)
{
Schema.instance.updateView(newRow.getString("keyspace_name"), newRow.getString("view_name"));
}
});
}
private static void mergeTypes(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
diffSchema(before, after, new Differ()
{
public void onDropped(UntypedResultSet.Row oldRow)
{
Schema.instance.dropType(createTypeFromRow(oldRow));
}
public void onAdded(UntypedResultSet.Row newRow)
{
Schema.instance.addType(createTypeFromRow(newRow));
}
public void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow)
{
Schema.instance.updateType(createTypeFromRow(newRow));
}
});
}
private static void mergeFunctions(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
diffSchema(before, after, new Differ()
{
public void onDropped(UntypedResultSet.Row oldRow)
{
Schema.instance.dropFunction(createFunctionFromFunctionRow(oldRow));
}
public void onAdded(UntypedResultSet.Row newRow)
{
Schema.instance.addFunction(createFunctionFromFunctionRow(newRow));
}
public void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow)
{
Schema.instance.updateFunction(createFunctionFromFunctionRow(newRow));
}
});
}
private static void mergeAggregates(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after)
{
diffSchema(before, after, new Differ()
{
public void onDropped(UntypedResultSet.Row oldRow)
{
Schema.instance.dropAggregate(createAggregateFromAggregateRow(oldRow));
}
public void onAdded(UntypedResultSet.Row newRow)
{
Schema.instance.addAggregate(createAggregateFromAggregateRow(newRow));
}
public void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow)
{
Schema.instance.updateAggregate(createAggregateFromAggregateRow(newRow));
}
});
}
public interface Differ
{
void onDropped(UntypedResultSet.Row oldRow);
void onAdded(UntypedResultSet.Row newRow);
void onUpdated(UntypedResultSet.Row oldRow, UntypedResultSet.Row newRow);
}
private static void diffSchema(Map<DecoratedKey, FilteredPartition> before, Map<DecoratedKey, FilteredPartition> after, Differ differ)
{
for (FilteredPartition newPartition : after.values())
{
CFMetaData metadata = newPartition.metadata();
DecoratedKey key = newPartition.partitionKey();
FilteredPartition oldPartition = before.remove(key);
if (oldPartition == null || oldPartition.isEmpty())
{
// Means everything is to be added
for (Row row : newPartition)
differ.onAdded(UntypedResultSet.Row.fromInternalRow(metadata, key, row));
continue;
}
Iterator<Row> oldIter = oldPartition.iterator();
Iterator<Row> newIter = newPartition.iterator();
Row oldRow = oldIter.hasNext() ? oldIter.next() : null;
Row newRow = newIter.hasNext() ? newIter.next() : null;
while (oldRow != null && newRow != null)
{
int cmp = metadata.comparator.compare(oldRow.clustering(), newRow.clustering());
if (cmp < 0)
{
differ.onDropped(UntypedResultSet.Row.fromInternalRow(metadata, key, oldRow));
oldRow = oldIter.hasNext() ? oldIter.next() : null;
}
else if (cmp > 0)
{
differ.onAdded(UntypedResultSet.Row.fromInternalRow(metadata, key, newRow));
newRow = newIter.hasNext() ? newIter.next() : null;
}
else
{
if (!oldRow.equals(newRow))
differ.onUpdated(UntypedResultSet.Row.fromInternalRow(metadata, key, oldRow), UntypedResultSet.Row.fromInternalRow(metadata, key, newRow));
oldRow = oldIter.hasNext() ? oldIter.next() : null;
newRow = newIter.hasNext() ? newIter.next() : null;
}
}
while (oldRow != null)
{
differ.onDropped(UntypedResultSet.Row.fromInternalRow(metadata, key, oldRow));
oldRow = oldIter.hasNext() ? oldIter.next() : null;
}
while (newRow != null)
{
differ.onAdded(UntypedResultSet.Row.fromInternalRow(metadata, key, newRow));
newRow = newIter.hasNext() ? newIter.next() : null;
}
}
// What remains is those keys that were only in before.
for (FilteredPartition partition : before.values())
for (Row row : partition)
differ.onDropped(UntypedResultSet.Row.fromInternalRow(partition.metadata(), partition.partitionKey(), row));
}
/*
* Keyspace metadata serialization/deserialization.
*/
public static Mutation makeCreateKeyspaceMutation(String name, KeyspaceParams params, long timestamp)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Keyspaces, timestamp, name).clustering();
return adder.add(KeyspaceParams.Option.DURABLE_WRITES.toString(), params.durableWrites)
.frozenMap(KeyspaceParams.Option.REPLICATION.toString(), params.replication.asMap())
.build();
}
public static Mutation makeCreateKeyspaceMutation(KeyspaceMetadata keyspace, long timestamp)
{
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
keyspace.tables.forEach(table -> addTableToSchemaMutation(table, timestamp, true, mutation));
keyspace.views.forEach(view -> addViewToSchemaMutation(view, timestamp, true, mutation));
keyspace.types.forEach(type -> addTypeToSchemaMutation(type, timestamp, mutation));
keyspace.functions.udfs().forEach(udf -> addFunctionToSchemaMutation(udf, timestamp, mutation));
keyspace.functions.udas().forEach(uda -> addAggregateToSchemaMutation(uda, timestamp, mutation));
return mutation;
}
public static Mutation makeDropKeyspaceMutation(KeyspaceMetadata keyspace, long timestamp)
{
int nowInSec = FBUtilities.nowInSeconds();
Mutation mutation = new Mutation(NAME, Keyspaces.decorateKey(getSchemaKSKey(keyspace.name)));
for (CFMetaData schemaTable : ALL_TABLE_METADATA)
mutation.add(PartitionUpdate.fullPartitionDelete(schemaTable, mutation.key(), timestamp, nowInSec));
return mutation;
}
private static KeyspaceMetadata createKeyspaceFromSchemaPartitions(RowIterator serializedParams,
RowIterator serializedTables,
RowIterator serializedViews,
RowIterator serializedTypes,
RowIterator serializedFunctions,
RowIterator serializedAggregates)
{
String name = AsciiType.instance.compose(serializedParams.partitionKey().getKey());
KeyspaceParams params = createKeyspaceParamsFromSchemaPartition(serializedParams);
Tables tables = createTablesFromTablesPartition(serializedTables);
Views views = createViewsFromViewsPartition(serializedViews);
Types types = createTypesFromPartition(serializedTypes);
Collection<UDFunction> udfs = createFunctionsFromFunctionsPartition(serializedFunctions);
Collection<UDAggregate> udas = createAggregatesFromAggregatesPartition(serializedAggregates);
Functions functions = org.apache.cassandra.schema.Functions.builder().add(udfs).add(udas).build();
return KeyspaceMetadata.create(name, params, tables, views, types, functions);
}
/**
* Deserialize only Keyspace attributes without nested tables or types
*
* @param partition Keyspace attributes in serialized form
*/
private static KeyspaceParams createKeyspaceParamsFromSchemaPartition(RowIterator partition)
{
String query = String.format("SELECT * FROM %s.%s", NAME, KEYSPACES);
UntypedResultSet.Row row = QueryProcessor.resultify(query, partition).one();
return KeyspaceParams.create(row.getBoolean(KeyspaceParams.Option.DURABLE_WRITES.toString()),
row.getFrozenTextMap(KeyspaceParams.Option.REPLICATION.toString()));
}
/*
* User type metadata serialization/deserialization.
*/
public static Mutation makeCreateTypeMutation(KeyspaceMetadata keyspace, UserType type, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTypeToSchemaMutation(type, timestamp, mutation);
return mutation;
}
static void addTypeToSchemaMutation(UserType type, long timestamp, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Types, timestamp, mutation)
.clustering(type.getNameAsString())
.frozenList("field_names", type.fieldNames().stream().map(SchemaKeyspace::bbToString).collect(Collectors.toList()))
.frozenList("field_types", type.fieldTypes().stream().map(AbstractType::toString).collect(Collectors.toList()));
adder.build();
}
private static String bbToString(ByteBuffer bb)
{
try
{
return ByteBufferUtil.string(bb);
}
catch (CharacterCodingException e)
{
throw new RuntimeException(e);
}
}
public static Mutation dropTypeFromSchemaMutation(KeyspaceMetadata keyspace, UserType type, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
return RowUpdateBuilder.deleteRow(Types, timestamp, mutation, type.name);
}
private static Types createTypesFromPartition(RowIterator partition)
{
String query = String.format("SELECT * FROM %s.%s", NAME, TYPES);
Types.Builder types = org.apache.cassandra.schema.Types.builder();
QueryProcessor.resultify(query, partition).forEach(row -> types.add(createTypeFromRow(row)));
return types.build();
}
private static UserType createTypeFromRow(UntypedResultSet.Row row)
{
String keyspace = row.getString("keyspace_name");
ByteBuffer name = ByteBufferUtil.bytes(row.getString("type_name"));
List<String> rawColumns = row.getFrozenList("field_names", UTF8Type.instance);
List<String> rawTypes = row.getFrozenList("field_types", UTF8Type.instance);
List<ByteBuffer> columns = new ArrayList<>(rawColumns.size());
for (String rawColumn : rawColumns)
columns.add(ByteBufferUtil.bytes(rawColumn));
List<AbstractType<?>> types = new ArrayList<>(rawTypes.size());
for (String rawType : rawTypes)
types.add(parseType(rawType));
return new UserType(keyspace, name, columns, types);
}
/*
* Table metadata serialization/deserialization.
*/
public static Mutation makeCreateTableMutation(KeyspaceMetadata keyspace, CFMetaData table, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTableToSchemaMutation(table, timestamp, true, mutation);
return mutation;
}
static void addTableToSchemaMutation(CFMetaData table, long timestamp, boolean withColumnsAndTriggers, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Tables, timestamp, mutation).clustering(table.cfName);
addTableParamsToSchemaMutation(table.params, adder);
adder.add("id", table.cfId)
.frozenSet("flags", CFMetaData.flagsToStrings(table.flags()))
.build();
if (withColumnsAndTriggers)
{
for (ColumnDefinition column : table.allColumns())
addColumnToSchemaMutation(table, column, timestamp, mutation);
for (CFMetaData.DroppedColumn column : table.getDroppedColumns().values())
addDroppedColumnToSchemaMutation(table, column, timestamp, mutation);
for (TriggerMetadata trigger : table.getTriggers())
addTriggerToSchemaMutation(table, trigger, timestamp, mutation);
for (IndexMetadata index : table.getIndexes())
addIndexToSchemaMutation(table, index, timestamp, mutation);
}
}
private static void addTableParamsToSchemaMutation(TableParams params, RowUpdateBuilder adder)
{
adder.add("bloom_filter_fp_chance", params.bloomFilterFpChance)
.add("comment", params.comment)
.add("dclocal_read_repair_chance", params.dcLocalReadRepairChance)
.add("default_time_to_live", params.defaultTimeToLive)
.add("gc_grace_seconds", params.gcGraceSeconds)
.add("max_index_interval", params.maxIndexInterval)
.add("memtable_flush_period_in_ms", params.memtableFlushPeriodInMs)
.add("min_index_interval", params.minIndexInterval)
.add("read_repair_chance", params.readRepairChance)
.add("speculative_retry", params.speculativeRetry.toString())
.frozenMap("caching", params.caching.asMap())
.frozenMap("compaction", params.compaction.asMap())
.frozenMap("compression", params.compression.asMap())
.frozenMap("extensions", params.extensions);
}
public static Mutation makeUpdateTableMutation(KeyspaceMetadata keyspace,
CFMetaData oldTable,
CFMetaData newTable,
long timestamp,
boolean fromThrift)
{
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTableToSchemaMutation(newTable, timestamp, false, mutation);
MapDifference<ByteBuffer, ColumnDefinition> columnDiff = Maps.difference(oldTable.getColumnMetadata(),
newTable.getColumnMetadata());
// columns that are no longer needed
for (ColumnDefinition column : columnDiff.entriesOnlyOnLeft().values())
{
// Thrift only knows about the REGULAR ColumnDefinition type, so don't consider other type
// are being deleted just because they are not here.
if (!fromThrift ||
column.kind == ColumnDefinition.Kind.REGULAR ||
(newTable.isStaticCompactTable() && column.kind == ColumnDefinition.Kind.STATIC))
{
dropColumnFromSchemaMutation(oldTable, column, timestamp, mutation);
}
}
// newly added columns
for (ColumnDefinition column : columnDiff.entriesOnlyOnRight().values())
addColumnToSchemaMutation(newTable, column, timestamp, mutation);
// old columns with updated attributes
for (ByteBuffer name : columnDiff.entriesDiffering().keySet())
addColumnToSchemaMutation(newTable, newTable.getColumnDefinition(name), timestamp, mutation);
// dropped columns
MapDifference<ByteBuffer, CFMetaData.DroppedColumn> droppedColumnDiff =
Maps.difference(oldTable.getDroppedColumns(), newTable.getDroppedColumns());
// newly dropped columns
for (CFMetaData.DroppedColumn column : droppedColumnDiff.entriesOnlyOnRight().values())
addDroppedColumnToSchemaMutation(newTable, column, timestamp, mutation);
// columns added then dropped again
for (ByteBuffer name : droppedColumnDiff.entriesDiffering().keySet())
addDroppedColumnToSchemaMutation(newTable, newTable.getDroppedColumns().get(name), timestamp, mutation);
MapDifference<String, TriggerMetadata> triggerDiff = triggersDiff(oldTable.getTriggers(), newTable.getTriggers());
// dropped triggers
for (TriggerMetadata trigger : triggerDiff.entriesOnlyOnLeft().values())
dropTriggerFromSchemaMutation(oldTable, trigger, timestamp, mutation);
// newly created triggers
for (TriggerMetadata trigger : triggerDiff.entriesOnlyOnRight().values())
addTriggerToSchemaMutation(newTable, trigger, timestamp, mutation);
MapDifference<String, IndexMetadata> indexesDiff = indexesDiff(oldTable.getIndexes(),
newTable.getIndexes());
// dropped indexes
for (IndexMetadata index : indexesDiff.entriesOnlyOnLeft().values())
dropIndexFromSchemaMutation(oldTable, index, timestamp, mutation);
// newly created indexes
for (IndexMetadata index : indexesDiff.entriesOnlyOnRight().values())
addIndexToSchemaMutation(newTable, index, timestamp, mutation);
// updated indexes need to be updated
for (MapDifference.ValueDifference<IndexMetadata> diff : indexesDiff.entriesDiffering().values())
{
addUpdatedIndexToSchemaMutation(newTable, diff.rightValue(), timestamp, mutation);
}
return mutation;
}
private static MapDifference<String, IndexMetadata> indexesDiff(Indexes before, Indexes after)
{
Map<String, IndexMetadata> beforeMap = new HashMap<>();
before.forEach(i -> beforeMap.put(i.name, i));
Map<String, IndexMetadata> afterMap = new HashMap<>();
after.forEach(i -> afterMap.put(i.name, i));
return Maps.difference(beforeMap, afterMap);
}
private static MapDifference<String, TriggerMetadata> triggersDiff(Triggers before, Triggers after)
{
Map<String, TriggerMetadata> beforeMap = new HashMap<>();
before.forEach(t -> beforeMap.put(t.name, t));
Map<String, TriggerMetadata> afterMap = new HashMap<>();
after.forEach(t -> afterMap.put(t.name, t));
return Maps.difference(beforeMap, afterMap);
}
public static Mutation makeDropTableMutation(KeyspaceMetadata keyspace, CFMetaData table, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
RowUpdateBuilder.deleteRow(Tables, timestamp, mutation, table.cfName);
for (ColumnDefinition column : table.allColumns())
dropColumnFromSchemaMutation(table, column, timestamp, mutation);
for (TriggerMetadata trigger : table.getTriggers())
dropTriggerFromSchemaMutation(table, trigger, timestamp, mutation);
for (IndexMetadata index : table.getIndexes())
dropIndexFromSchemaMutation(table, index, timestamp, mutation);
return mutation;
}
public static CFMetaData createTableFromName(String keyspace, String table)
{
return readSchemaPartitionForTableAndApply(TABLES, keyspace, table, partition ->
{
if (partition.isEmpty())
throw new RuntimeException(String.format("%s:%s not found in the schema definitions keyspace.", keyspace, table));
return createTableFromTablePartition(partition);
});
}
/**
* Deserialize tables from low-level schema representation, all of them belong to the same keyspace
*/
private static Tables createTablesFromTablesPartition(RowIterator partition)
{
String query = String.format("SELECT * FROM %s.%s", NAME, TABLES);
Tables.Builder tables = org.apache.cassandra.schema.Tables.builder();
QueryProcessor.resultify(query, partition).forEach(row -> tables.add(createTableFromTableRow(row)));
return tables.build();
}
private static List<ColumnDefinition> createColumnsFromColumnsPartition(RowIterator serializedColumns)
{
String query = String.format("SELECT * FROM %s.%s", NAME, COLUMNS);
return createColumnsFromColumnRows(QueryProcessor.resultify(query, serializedColumns));
}
private static CFMetaData createTableFromTablePartition(RowIterator partition)
{
String query = String.format("SELECT * FROM %s.%s", NAME, TABLES);
return createTableFromTableRow(QueryProcessor.resultify(query, partition).one());
}
public static CFMetaData createTableFromTablePartitionAndColumnsPartition(RowIterator tablePartition,
RowIterator columnsPartition)
{
List<ColumnDefinition> columns = createColumnsFromColumnsPartition(columnsPartition);
String query = String.format("SELECT * FROM %s.%s", NAME, TABLES);
return createTableFromTableRowAndColumns(QueryProcessor.resultify(query, tablePartition).one(), columns);
}
/**
* Deserialize table metadata from low-level representation
*
* @return Metadata deserialized from schema
*/
private static CFMetaData createTableFromTableRow(UntypedResultSet.Row row)
{
String keyspace = row.getString("keyspace_name");
String table = row.getString("table_name");
List<ColumnDefinition> columns =
readSchemaPartitionForTableAndApply(COLUMNS, keyspace, table, SchemaKeyspace::createColumnsFromColumnsPartition);
Map<ByteBuffer, CFMetaData.DroppedColumn> droppedColumns =
readSchemaPartitionForTableAndApply(DROPPED_COLUMNS, keyspace, table, SchemaKeyspace::createDroppedColumnsFromDroppedColumnsPartition);
Triggers triggers =
readSchemaPartitionForTableAndApply(TRIGGERS, keyspace, table, SchemaKeyspace::createTriggersFromTriggersPartition);
CFMetaData cfm = createTableFromTableRowAndColumns(row, columns).droppedColumns(droppedColumns)
.triggers(triggers);
// the CFMetaData itself is required to build the collection of indexes as
// the column definitions are needed because we store only the name each
// index's target columns and this is not enough to reconstruct a ColumnIdentifier
org.apache.cassandra.schema.Indexes indexes =
readSchemaPartitionForTableAndApply(INDEXES, keyspace, table, rowIterator -> createIndexesFromIndexesPartition(cfm, rowIterator));
cfm.indexes(indexes);
return cfm;
}
public static CFMetaData createTableFromTableRowAndColumns(UntypedResultSet.Row row, List<ColumnDefinition> columns)
{
String keyspace = row.getString("keyspace_name");
String table = row.getString("table_name");
UUID id = row.getUUID("id");
Set<CFMetaData.Flag> flags = row.has("flags")
? CFMetaData.flagsFromStrings(row.getFrozenSet("flags", UTF8Type.instance))
: Collections.emptySet();
boolean isSuper = flags.contains(CFMetaData.Flag.SUPER);
boolean isCounter = flags.contains(CFMetaData.Flag.COUNTER);
boolean isDense = flags.contains(CFMetaData.Flag.DENSE);
boolean isCompound = flags.contains(CFMetaData.Flag.COMPOUND);
return CFMetaData.create(keyspace,
table,
id,
isDense,
isCompound,
isSuper,
isCounter,
false,
columns,
DatabaseDescriptor.getPartitioner())
.params(createTableParamsFromRow(row));
}
private static TableParams createTableParamsFromRow(UntypedResultSet.Row row)
{
TableParams.Builder builder = TableParams.builder();
builder.bloomFilterFpChance(row.getDouble("bloom_filter_fp_chance"))
.caching(CachingParams.fromMap(row.getFrozenTextMap("caching")))
.comment(row.getString("comment"))
.compaction(CompactionParams.fromMap(row.getFrozenTextMap("compaction")))
.compression(CompressionParams.fromMap(row.getFrozenTextMap("compression")))
.dcLocalReadRepairChance(row.getDouble("dclocal_read_repair_chance"))
.defaultTimeToLive(row.getInt("default_time_to_live"))
.gcGraceSeconds(row.getInt("gc_grace_seconds"))
.maxIndexInterval(row.getInt("max_index_interval"))
.memtableFlushPeriodInMs(row.getInt("memtable_flush_period_in_ms"))
.minIndexInterval(row.getInt("min_index_interval"))
.readRepairChance(row.getDouble("read_repair_chance"))
.speculativeRetry(SpeculativeRetryParam.fromString(row.getString("speculative_retry")));
if (row.has("extensions"))
builder.extensions(row.getFrozenMap("extensions", UTF8Type.instance, BytesType.instance));
return builder.build();
}
/*
* Column metadata serialization/deserialization.
*/
private static void addColumnToSchemaMutation(CFMetaData table, ColumnDefinition column, long timestamp, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Columns, timestamp, mutation).clustering(table.cfName, column.name.toString());
AbstractType<?> type = column.type;
if (type instanceof ReversedType)
type = ((ReversedType) type).baseType;
adder.add("column_name_bytes", column.name.bytes)
.add("kind", column.kind.toString().toLowerCase())
.add("position", column.isOnAllComponents() ? ColumnDefinition.NO_POSITION : column.position())
.add("clustering_order", column.clusteringOrder().toString().toLowerCase())
.add("type", type.toString())
.build();
}
private static void dropColumnFromSchemaMutation(CFMetaData table, ColumnDefinition column, long timestamp, Mutation mutation)
{
// Note: we do want to use name.toString(), not name.bytes directly for backward compatibility (For CQL3, this won't make a difference).
RowUpdateBuilder.deleteRow(Columns, timestamp, mutation, table.cfName, column.name.toString());
}
private static List<ColumnDefinition> createColumnsFromColumnRows(UntypedResultSet rows)
{
List<ColumnDefinition> columns = new ArrayList<>(rows.size());
rows.forEach(row -> columns.add(createColumnFromColumnRow(row)));
return columns;
}
private static ColumnDefinition createColumnFromColumnRow(UntypedResultSet.Row row)
{
String keyspace = row.getString("keyspace_name");
String table = row.getString("table_name");
ColumnIdentifier name = ColumnIdentifier.getInterned(row.getBytes("column_name_bytes"), row.getString("column_name"));
ColumnDefinition.Kind kind = ColumnDefinition.Kind.valueOf(row.getString("kind").toUpperCase());
int position = row.getInt("position");
ClusteringOrder order = ClusteringOrder.valueOf(row.getString("clustering_order").toUpperCase());
AbstractType<?> type = parseType(row.getString("type"));
if (order == ClusteringOrder.DESC)
type = ReversedType.getInstance(type);
return new ColumnDefinition(keyspace, table, name, type, position, kind);
}
/*
* Dropped column metadata serialization/deserialization.
*/
private static void addDroppedColumnToSchemaMutation(CFMetaData table, CFMetaData.DroppedColumn column, long timestamp, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(DroppedColumns, timestamp, mutation).clustering(table.cfName, column.name);
adder.add("dropped_time", new Date(TimeUnit.MICROSECONDS.toMillis(column.droppedTime)))
.add("type", column.type.toString())
.build();
}
private static Map<ByteBuffer, CFMetaData.DroppedColumn> createDroppedColumnsFromDroppedColumnsPartition(RowIterator serializedColumns)
{
String query = String.format("SELECT * FROM %s.%s", NAME, DROPPED_COLUMNS);
Map<ByteBuffer, CFMetaData.DroppedColumn> columns = new HashMap<>();
for (CFMetaData.DroppedColumn column : createDroppedColumnsFromDroppedColumnRows(QueryProcessor.resultify(query, serializedColumns)))
columns.put(UTF8Type.instance.decompose(column.name), column);
return columns;
}
private static List<CFMetaData.DroppedColumn> createDroppedColumnsFromDroppedColumnRows(UntypedResultSet rows)
{
List<CFMetaData.DroppedColumn> columns = new ArrayList<>(rows.size());
rows.forEach(row -> columns.add(createDroppedColumnFromDroppedColumnRow(row)));
return columns;
}
private static CFMetaData.DroppedColumn createDroppedColumnFromDroppedColumnRow(UntypedResultSet.Row row)
{
String name = row.getString("column_name");
AbstractType<?> type = TypeParser.parse(row.getString("type"));
long droppedTime = TimeUnit.MILLISECONDS.toMicros(row.getLong("dropped_time"));
return new CFMetaData.DroppedColumn(name, type, droppedTime);
}
/*
* Trigger metadata serialization/deserialization.
*/
private static void addTriggerToSchemaMutation(CFMetaData table, TriggerMetadata trigger, long timestamp, Mutation mutation)
{
new RowUpdateBuilder(Triggers, timestamp, mutation)
.clustering(table.cfName, trigger.name)
.frozenMap("options", Collections.singletonMap("class", trigger.classOption))
.build();
}
private static void dropTriggerFromSchemaMutation(CFMetaData table, TriggerMetadata trigger, long timestamp, Mutation mutation)
{
RowUpdateBuilder.deleteRow(Triggers, timestamp, mutation, table.cfName, trigger.name);
}
/**
* Deserialize triggers from storage-level representation.
*
* @param partition storage-level partition containing the trigger definitions
* @return the list of processed TriggerDefinitions
*/
private static Triggers createTriggersFromTriggersPartition(RowIterator partition)
{
Triggers.Builder triggers = org.apache.cassandra.schema.Triggers.builder();
String query = String.format("SELECT * FROM %s.%s", NAME, TRIGGERS);
QueryProcessor.resultify(query, partition).forEach(row -> triggers.add(createTriggerFromTriggerRow(row)));
return triggers.build();
}
private static TriggerMetadata createTriggerFromTriggerRow(UntypedResultSet.Row row)
{
String name = row.getString("trigger_name");
String classOption = row.getFrozenTextMap("options").get("class");
return new TriggerMetadata(name, classOption);
}
/*
* View metadata serialization/deserialization.
*/
public static Mutation makeCreateViewMutation(KeyspaceMetadata keyspace, ViewDefinition view, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addViewToSchemaMutation(view, timestamp, true, mutation);
return mutation;
}
private static void addViewToSchemaMutation(ViewDefinition view, long timestamp, boolean includeColumns, Mutation mutation)
{
RowUpdateBuilder builder = new RowUpdateBuilder(Views, timestamp, mutation)
.clustering(view.viewName);
CFMetaData table = view.metadata;
builder.add("include_all_columns", view.includeAllColumns)
.add("base_table_id", view.baseTableId)
.add("base_table_name", view.baseTableMetadata().cfName)
.add("id", table.cfId);
addTableParamsToSchemaMutation(table.params, builder);
if (includeColumns)
{
for (ColumnDefinition column : table.allColumns())
addColumnToSchemaMutation(table, column, timestamp, mutation);
for (CFMetaData.DroppedColumn column : table.getDroppedColumns().values())
addDroppedColumnToSchemaMutation(table, column, timestamp, mutation);
}
builder.build();
}
public static Mutation makeDropViewMutation(KeyspaceMetadata keyspace, ViewDefinition view, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
RowUpdateBuilder.deleteRow(Views, timestamp, mutation, view.viewName);
CFMetaData table = view.metadata;
for (ColumnDefinition column : table.allColumns())
dropColumnFromSchemaMutation(table, column, timestamp, mutation);
for (IndexMetadata index : table.getIndexes())
dropIndexFromSchemaMutation(table, index, timestamp, mutation);
return mutation;
}
public static Mutation makeUpdateViewMutation(KeyspaceMetadata keyspace,
ViewDefinition oldView,
ViewDefinition newView,
long timestamp)
{
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addViewToSchemaMutation(newView, timestamp, false, mutation);
MapDifference<ByteBuffer, ColumnDefinition> columnDiff = Maps.difference(oldView.metadata.getColumnMetadata(),
newView.metadata.getColumnMetadata());
// columns that are no longer needed
for (ColumnDefinition column : columnDiff.entriesOnlyOnLeft().values())
{
dropColumnFromSchemaMutation(oldView.metadata, column, timestamp, mutation);
}
// newly added columns
for (ColumnDefinition column : columnDiff.entriesOnlyOnRight().values())
addColumnToSchemaMutation(newView.metadata, column, timestamp, mutation);
// old columns with updated attributes
for (ByteBuffer name : columnDiff.entriesDiffering().keySet())
addColumnToSchemaMutation(newView.metadata, newView.metadata.getColumnDefinition(name), timestamp, mutation);
// dropped columns
MapDifference<ByteBuffer, CFMetaData.DroppedColumn> droppedColumnDiff =
Maps.difference(oldView.metadata.getDroppedColumns(), oldView.metadata.getDroppedColumns());
// newly dropped columns
for (CFMetaData.DroppedColumn column : droppedColumnDiff.entriesOnlyOnRight().values())
addDroppedColumnToSchemaMutation(oldView.metadata, column, timestamp, mutation);
// columns added then dropped again
for (ByteBuffer name : droppedColumnDiff.entriesDiffering().keySet())
addDroppedColumnToSchemaMutation(newView.metadata, newView.metadata.getDroppedColumns().get(name), timestamp, mutation);
return mutation;
}
public static ViewDefinition createViewFromName(String keyspace, String view)
{
return readSchemaPartitionForTableAndApply(VIEWS, keyspace, view, partition ->
{
if (partition.isEmpty())
throw new RuntimeException(String.format("%s:%s not found in the schema definitions keyspace.", keyspace, view));
return createViewFromViewPartition(partition);
});
}
private static ViewDefinition createViewFromViewPartition(RowIterator partition)
{
String query = String.format("SELECT * FROM %s.%s", NAME, VIEWS);
return createViewFromViewRow(QueryProcessor.resultify(query, partition).one());
}
/**
* Deserialize views from storage-level representation.
*
* @param partition storage-level partition containing the view definitions
* @return the list of processed ViewDefinitions
*/
private static Views createViewsFromViewsPartition(RowIterator partition)
{
Views.Builder views = org.apache.cassandra.schema.Views.builder();
String query = String.format("SELECT * FROM %s.%s", NAME, VIEWS);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
{
ViewDefinition view = createViewFromViewRow(row);
views.add(view);
}
return views.build();
}
private static ViewDefinition createViewFromViewRow(UntypedResultSet.Row row)
{
String keyspace = row.getString("keyspace_name");
String view = row.getString("view_name");
UUID id = row.getUUID("id");
UUID baseTableId = row.getUUID("base_table_id");
boolean includeAll = row.getBoolean("include_all_columns");
List<ColumnDefinition> columns =
readSchemaPartitionForTableAndApply(COLUMNS, keyspace, view, SchemaKeyspace::createColumnsFromColumnsPartition);
Map<ByteBuffer, CFMetaData.DroppedColumn> droppedColumns =
readSchemaPartitionForTableAndApply(DROPPED_COLUMNS, keyspace, view, SchemaKeyspace::createDroppedColumnsFromDroppedColumnsPartition);
CFMetaData cfm = CFMetaData.create(keyspace,
view,
id,
false,
true,
false,
false,
true,
columns,
DatabaseDescriptor.getPartitioner())
.params(createTableParamsFromRow(row))
.droppedColumns(droppedColumns);
return new ViewDefinition(keyspace, view, baseTableId, includeAll, cfm);
}
/*
* Secondary Index metadata serialization/deserialization.
*/
private static void addIndexToSchemaMutation(CFMetaData table,
IndexMetadata index,
long timestamp,
Mutation mutation)
{
RowUpdateBuilder builder = new RowUpdateBuilder(Indexes, timestamp, mutation).clustering(table.cfName, index.name);
builder.add("kind", index.kind.toString());
builder.frozenMap("options", index.options);
builder.build();
}
private static void dropIndexFromSchemaMutation(CFMetaData table,
IndexMetadata index,
long timestamp,
Mutation mutation)
{
RowUpdateBuilder.deleteRow(Indexes, timestamp, mutation, table.cfName, index.name);
}
private static void addUpdatedIndexToSchemaMutation(CFMetaData table,
IndexMetadata index,
long timestamp,
Mutation mutation)
{
addIndexToSchemaMutation(table, index, timestamp, mutation);
}
/**
* Deserialize secondary indexes from storage-level representation.
*
* @param partition storage-level partition containing the index definitions
* @return the list of processed IndexMetadata
*/
private static Indexes createIndexesFromIndexesPartition(CFMetaData cfm, RowIterator partition)
{
Indexes.Builder indexes = org.apache.cassandra.schema.Indexes.builder();
String query = String.format("SELECT * FROM %s.%s", NAME, INDEXES);
QueryProcessor.resultify(query, partition).forEach(row -> indexes.add(createIndexMetadataFromIndexesRow(row)));
return indexes.build();
}
private static IndexMetadata createIndexMetadataFromIndexesRow(UntypedResultSet.Row row)
{
String name = row.getString("index_name");
IndexMetadata.Kind type = IndexMetadata.Kind.valueOf(row.getString("kind"));
Map<String, String> options = row.getFrozenTextMap("options");
return IndexMetadata.fromSchemaMetadata(name, type, options);
}
/*
* UDF metadata serialization/deserialization.
*/
public static Mutation makeCreateFunctionMutation(KeyspaceMetadata keyspace, UDFunction function, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addFunctionToSchemaMutation(function, timestamp, mutation);
return mutation;
}
static void addFunctionToSchemaMutation(UDFunction function, long timestamp, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Functions, timestamp, mutation)
.clustering(function.name().name, functionSignatureWithTypes(function));
adder.add("body", function.body())
.add("language", function.language())
.add("return_type", function.returnType().toString())
.add("called_on_null_input", function.isCalledOnNullInput())
.frozenList("argument_names", function.argNames().stream().map((c) -> bbToString(c.bytes)).collect(Collectors.toList()))
.frozenList("argument_types", function.argTypes().stream().map(AbstractType::toString).collect(Collectors.toList()));
adder.build();
}
public static Mutation makeDropFunctionMutation(KeyspaceMetadata keyspace, UDFunction function, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
return RowUpdateBuilder.deleteRow(Functions, timestamp, mutation, function.name().name, functionSignatureWithTypes(function));
}
private static Collection<UDFunction> createFunctionsFromFunctionsPartition(RowIterator partition)
{
List<UDFunction> functions = new ArrayList<>();
String query = String.format("SELECT * FROM %s.%s", NAME, FUNCTIONS);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
functions.add(createFunctionFromFunctionRow(row));
return functions;
}
private static UDFunction createFunctionFromFunctionRow(UntypedResultSet.Row row)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("function_name");
FunctionName name = new FunctionName(ksName, functionName);
List<ColumnIdentifier> argNames = new ArrayList<>();
if (row.has("argument_names"))
for (String arg : row.getFrozenList("argument_names", UTF8Type.instance))
argNames.add(new ColumnIdentifier(arg, true));
List<AbstractType<?>> argTypes = new ArrayList<>();
if (row.has("argument_types"))
for (String type : row.getFrozenList("argument_types", UTF8Type.instance))
argTypes.add(parseType(type));
AbstractType<?> returnType = parseType(row.getString("return_type"));
String language = row.getString("language");
String body = row.getString("body");
boolean calledOnNullInput = row.getBoolean("called_on_null_input");
org.apache.cassandra.cql3.functions.Function existing = Schema.instance.findFunction(name, argTypes).orElse(null);
if (existing instanceof UDFunction)
{
// This check prevents duplicate compilation of effectively the same UDF.
// Duplicate compilation attempts can occur on the coordinator node handling the CREATE FUNCTION
// statement, since CreateFunctionStatement needs to execute UDFunction.create but schema migration
// also needs that (since it needs to handle its own change).
UDFunction udf = (UDFunction) existing;
if (udf.argNames().equals(argNames) && // arg types checked in Functions.find call
udf.returnType().equals(returnType) &&
!udf.isAggregate() &&
udf.language().equals(language) &&
udf.body().equals(body) &&
udf.isCalledOnNullInput() == calledOnNullInput)
{
logger.debug("Skipping duplicate compilation of already existing UDF {}", name);
return udf;
}
}
try
{
return UDFunction.create(name, argNames, argTypes, returnType, calledOnNullInput, language, body);
}
catch (InvalidRequestException e)
{
logger.error(String.format("Cannot load function '%s' from schema: this function won't be available (on this node)", name), e);
return UDFunction.createBrokenFunction(name, argNames, argTypes, returnType, calledOnNullInput, language, body, e);
}
}
/*
* Aggregate UDF metadata serialization/deserialization.
*/
public static Mutation makeCreateAggregateMutation(KeyspaceMetadata keyspace, UDAggregate aggregate, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addAggregateToSchemaMutation(aggregate, timestamp, mutation);
return mutation;
}
static void addAggregateToSchemaMutation(UDAggregate aggregate, long timestamp, Mutation mutation)
{
RowUpdateBuilder adder = new RowUpdateBuilder(Aggregates, timestamp, mutation)
.clustering(aggregate.name().name, functionSignatureWithTypes(aggregate));
adder.add("return_type", aggregate.returnType().toString())
.add("state_func", aggregate.stateFunction().name().name)
.add("state_type", aggregate.stateType() != null ? aggregate.stateType().toString() : null)
.add("final_func", aggregate.finalFunction() != null ? aggregate.finalFunction().name().name : null)
.add("initcond", aggregate.initialCondition())
.frozenList("argument_types", aggregate.argTypes().stream().map(AbstractType::toString).collect(Collectors.toList()))
.build();
}
private static Collection<UDAggregate> createAggregatesFromAggregatesPartition(RowIterator partition)
{
List<UDAggregate> aggregates = new ArrayList<>();
String query = String.format("SELECT * FROM %s.%s", NAME, AGGREGATES);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
aggregates.add(createAggregateFromAggregateRow(row));
return aggregates;
}
private static UDAggregate createAggregateFromAggregateRow(UntypedResultSet.Row row)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("aggregate_name");
FunctionName name = new FunctionName(ksName, functionName);
List<String> types = row.getFrozenList("argument_types", UTF8Type.instance);
List<AbstractType<?>> argTypes;
if (types == null)
{
argTypes = Collections.emptyList();
}
else
{
argTypes = new ArrayList<>(types.size());
for (String type : types)
argTypes.add(parseType(type));
}
AbstractType<?> returnType = parseType(row.getString("return_type"));
FunctionName stateFunc = new FunctionName(ksName, (row.getString("state_func")));
FunctionName finalFunc = row.has("final_func") ? new FunctionName(ksName, row.getString("final_func")) : null;
AbstractType<?> stateType = row.has("state_type") ? parseType(row.getString("state_type")) : null;
ByteBuffer initcond = row.has("initcond") ? row.getBytes("initcond") : null;
try
{
return UDAggregate.create(name, argTypes, returnType, stateFunc, finalFunc, stateType, initcond);
}
catch (InvalidRequestException reason)
{
return UDAggregate.createBroken(name, argTypes, returnType, initcond, reason);
}
}
public static Mutation makeDropAggregateMutation(KeyspaceMetadata keyspace, UDAggregate aggregate, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
return RowUpdateBuilder.deleteRow(Aggregates, timestamp, mutation, aggregate.name().name, functionSignatureWithTypes(aggregate));
}
private static AbstractType<?> parseType(String str)
{
return TypeParser.parse(str);
}
// We allow method overloads, so a function is not uniquely identified by its name only, but
// also by its argument types. To distinguish overloads of given function name in the schema
// we use a "signature" which is just a list of it's CQL argument types (we could replace that by
// using a "signature" UDT that would be comprised of the function name and argument types,
// which we could then use as clustering column. But as we haven't yet used UDT in system tables,
// We'll leave that decision to #6717).
public static ByteBuffer functionSignatureWithTypes(AbstractFunction fun)
{
ListType<String> list = ListType.getInstance(UTF8Type.instance, false);
List<String> strList = new ArrayList<>(fun.argTypes().size());
for (AbstractType<?> argType : fun.argTypes())
strList.add(argType.asCQL3Type().toString());
return list.decompose(strList);
}
}