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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.
/*
* 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.cql3.statements.schema;
import java.util.*;
import java.util.stream.Collectors;
import javax.annotation.Nullable;
import com.google.common.collect.ImmutableSet;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.cassandra.audit.AuditLogContext;
import org.apache.cassandra.audit.AuditLogEntryType;
import org.apache.cassandra.auth.DataResource;
import org.apache.cassandra.auth.IResource;
import org.apache.cassandra.auth.Permission;
import org.apache.cassandra.cql3.*;
import org.apache.cassandra.cql3.functions.masking.ColumnMask;
import org.apache.cassandra.db.Keyspace;
import org.apache.cassandra.db.guardrails.Guardrails;
import org.apache.cassandra.db.marshal.*;
import org.apache.cassandra.exceptions.AlreadyExistsException;
import org.apache.cassandra.schema.*;
import org.apache.cassandra.schema.Keyspaces.KeyspacesDiff;
import org.apache.cassandra.service.ClientState;
import org.apache.cassandra.service.reads.repair.ReadRepairStrategy;
import org.apache.cassandra.transport.Event.SchemaChange;
import org.apache.cassandra.transport.Event.SchemaChange.Change;
import org.apache.cassandra.transport.Event.SchemaChange.Target;
import static java.util.Comparator.comparing;
import static com.google.common.collect.Iterables.concat;
public final class CreateTableStatement extends AlterSchemaStatement
{
private static final Logger logger = LoggerFactory.getLogger(CreateTableStatement.class);
private final String tableName;
private final Map rawColumns;
private final Set staticColumns;
private final List partitionKeyColumns;
private final List clusteringColumns;
private final LinkedHashMap clusteringOrder;
private final TableAttributes attrs;
private final boolean ifNotExists;
private final boolean useCompactStorage;
public CreateTableStatement(String keyspaceName,
String tableName,
Map rawColumns,
Set staticColumns,
List partitionKeyColumns,
List clusteringColumns,
LinkedHashMap clusteringOrder,
TableAttributes attrs,
boolean ifNotExists,
boolean useCompactStorage)
{
super(keyspaceName);
this.tableName = tableName;
this.rawColumns = rawColumns;
this.staticColumns = staticColumns;
this.partitionKeyColumns = partitionKeyColumns;
this.clusteringColumns = clusteringColumns;
this.clusteringOrder = clusteringOrder;
this.attrs = attrs;
this.ifNotExists = ifNotExists;
this.useCompactStorage = useCompactStorage;
}
public Keyspaces apply(Keyspaces schema)
{
KeyspaceMetadata keyspace = schema.getNullable(keyspaceName);
if (null == keyspace)
throw ire("Keyspace '%s' doesn't exist", keyspaceName);
if (keyspace.hasTable(tableName))
{
if (ifNotExists)
return schema;
throw new AlreadyExistsException(keyspaceName, tableName);
}
TableMetadata table = builder(keyspace.types).build();
table.validate();
if (keyspace.createReplicationStrategy().hasTransientReplicas()
&& table.params.readRepair != ReadRepairStrategy.NONE)
{
throw ire("read_repair must be set to 'NONE' for transiently replicated keyspaces");
}
if (!table.params.compression.isEnabled())
Guardrails.uncompressedTablesEnabled.ensureEnabled(state);
return schema.withAddedOrUpdated(keyspace.withSwapped(keyspace.tables.with(table)));
}
@Override
public void validate(ClientState state)
{
super.validate(state);
// Guardrail on table properties
Guardrails.tableProperties.guard(attrs.updatedProperties(), attrs::removeProperty, state);
// Guardrail on columns per table
Guardrails.columnsPerTable.guard(rawColumns.size(), tableName, false, state);
// Guardrail on number of tables
if (Guardrails.tables.enabled(state))
{
int totalUserTables = Schema.instance.getUserKeyspaces()
.stream()
.map(ksm -> ksm.name)
.map(Keyspace::open)
.mapToInt(keyspace -> keyspace.getColumnFamilyStores().size())
.sum();
Guardrails.tables.guard(totalUserTables + 1, tableName, false, state);
}
// Guardrail to check whether creation of new COMPACT STORAGE tables is allowed
if (useCompactStorage)
Guardrails.compactTablesEnabled.ensureEnabled(state);
validateDefaultTimeToLive(attrs.asNewTableParams());
rawColumns.forEach((name, raw) -> raw.validate(state, name));
}
SchemaChange schemaChangeEvent(KeyspacesDiff diff)
{
return new SchemaChange(Change.CREATED, Target.TABLE, keyspaceName, tableName);
}
public void authorize(ClientState client)
{
client.ensureAllTablesPermission(keyspaceName, Permission.CREATE);
}
@Override
Set createdResources(KeyspacesDiff diff)
{
return ImmutableSet.of(DataResource.table(keyspaceName, tableName));
}
@Override
public AuditLogContext getAuditLogContext()
{
return new AuditLogContext(AuditLogEntryType.CREATE_TABLE, keyspaceName, tableName);
}
public String toString()
{
return String.format("%s (%s, %s)", getClass().getSimpleName(), keyspaceName, tableName);
}
public TableMetadata.Builder builder(Types types)
{
attrs.validate();
TableParams params = attrs.asNewTableParams();
// use a TreeMap to preserve ordering across JDK versions (see CASSANDRA-9492) - important for stable unit tests
Map columns = new TreeMap<>(comparing(o -> o.bytes));
rawColumns.forEach((column, properties) -> columns.put(column, properties.prepare(keyspaceName, tableName, column, types)));
// check for nested non-frozen UDTs or collections in a non-frozen UDT
columns.forEach((column, properties) ->
{
AbstractType type = properties.type;
if (type.isUDT() && type.isMultiCell())
{
((UserType) type).fieldTypes().forEach(field ->
{
if (field.isMultiCell())
throw ire("Non-frozen UDTs with nested non-frozen collections are not supported");
});
}
});
/*
* Deal with PRIMARY KEY columns
*/
HashSet primaryKeyColumns = new HashSet<>();
concat(partitionKeyColumns, clusteringColumns).forEach(column ->
{
ColumnProperties properties = columns.get(column);
if (null == properties)
throw ire("Unknown column '%s' referenced in PRIMARY KEY for table '%s'", column, tableName);
if (!primaryKeyColumns.add(column))
throw ire("Duplicate column '%s' in PRIMARY KEY clause for table '%s'", column, tableName);
AbstractType type = properties.type;
if (type.isMultiCell())
{
CQL3Type cqlType = properties.cqlType;
if (type.isCollection())
throw ire("Invalid non-frozen collection type %s for PRIMARY KEY column '%s'", cqlType, column);
else
throw ire("Invalid non-frozen user-defined type %s for PRIMARY KEY column '%s'", cqlType, column);
}
if (type.isCounter())
throw ire("counter type is not supported for PRIMARY KEY column '%s'", column);
if (type.referencesDuration())
throw ire("duration type is not supported for PRIMARY KEY column '%s'", column);
if (staticColumns.contains(column))
throw ire("Static column '%s' cannot be part of the PRIMARY KEY", column);
});
List partitionKeyColumnProperties = new ArrayList<>();
List clusteringColumnProperties = new ArrayList<>();
partitionKeyColumns.forEach(column ->
{
ColumnProperties columnProperties = columns.remove(column);
partitionKeyColumnProperties.add(columnProperties);
});
clusteringColumns.forEach(column ->
{
ColumnProperties columnProperties = columns.remove(column);
boolean reverse = !clusteringOrder.getOrDefault(column, true);
clusteringColumnProperties.add(reverse ? columnProperties.withReversedType() : columnProperties);
});
List nonClusterColumn = clusteringOrder.keySet().stream()
.filter((id) -> !clusteringColumns.contains(id))
.collect(Collectors.toList());
if (!nonClusterColumn.isEmpty())
{
throw ire("Only clustering key columns can be defined in CLUSTERING ORDER directive: " + nonClusterColumn + " are not clustering columns");
}
int n = 0;
for (ColumnIdentifier id : clusteringOrder.keySet())
{
ColumnIdentifier c = clusteringColumns.get(n);
if (!id.equals(c))
{
if (clusteringOrder.containsKey(c))
throw ire("The order of columns in the CLUSTERING ORDER directive must match that of the clustering columns (%s must appear before %s)", c, id);
else
throw ire("Missing CLUSTERING ORDER for column %s", c);
}
++n;
}
// For COMPACT STORAGE, we reject any "feature" that we wouldn't be able to translate back to thrift.
if (useCompactStorage)
{
validateCompactTable(clusteringColumnProperties, columns);
}
else
{
// Static columns only make sense if we have at least one clustering column. Otherwise everything is static anyway
if (clusteringColumns.isEmpty() && !staticColumns.isEmpty())
throw ire("Static columns are only useful (and thus allowed) if the table has at least one clustering column");
}
/*
* Counter table validation
*/
boolean hasCounters = rawColumns.values().stream().anyMatch(c -> c.rawType.isCounter());
if (hasCounters)
{
// We've handled anything that is not a PRIMARY KEY so columns only contains NON-PK columns. So
// if it's a counter table, make sure we don't have non-counter types
if (columns.values().stream().anyMatch(t -> !t.type.isCounter()))
throw ire("Cannot mix counter and non counter columns in the same table");
if (params.defaultTimeToLive > 0)
throw ire("Cannot set %s on a table with counters", TableParams.Option.DEFAULT_TIME_TO_LIVE);
}
/*
* Create the builder
*/
TableMetadata.Builder builder = TableMetadata.builder(keyspaceName, tableName);
if (attrs.hasProperty(TableAttributes.ID))
builder.id(attrs.getId());
builder.isCounter(hasCounters)
.params(params);
for (int i = 0; i < partitionKeyColumns.size(); i++)
{
ColumnProperties properties = partitionKeyColumnProperties.get(i);
builder.addPartitionKeyColumn(partitionKeyColumns.get(i), properties.type, properties.mask);
}
for (int i = 0; i < clusteringColumns.size(); i++)
{
ColumnProperties properties = clusteringColumnProperties.get(i);
builder.addClusteringColumn(clusteringColumns.get(i), properties.type, properties.mask);
}
if (useCompactStorage)
{
fixupCompactTable(clusteringColumnProperties, columns, hasCounters, builder);
}
else
{
columns.forEach((column, properties) -> {
if (staticColumns.contains(column))
builder.addStaticColumn(column, properties.type, properties.mask);
else
builder.addRegularColumn(column, properties.type, properties.mask);
});
}
return builder;
}
private void validateCompactTable(List clusteringColumnProperties,
Map columns)
{
boolean isDense = !clusteringColumnProperties.isEmpty();
if (columns.values().stream().anyMatch(c -> c.type.isMultiCell()))
throw ire("Non-frozen collections and UDTs are not supported with COMPACT STORAGE");
if (!staticColumns.isEmpty())
throw ire("Static columns are not supported in COMPACT STORAGE tables");
if (clusteringColumnProperties.isEmpty())
{
// It's a thrift "static CF" so there should be some columns definition
if (columns.isEmpty())
throw ire("No definition found that is not part of the PRIMARY KEY");
}
if (isDense)
{
// We can have no columns (only the PK), but we can't have more than one.
if (columns.size() > 1)
throw ire(String.format("COMPACT STORAGE with composite PRIMARY KEY allows no more than one column not part of the PRIMARY KEY (got: %s)", StringUtils.join(columns.keySet(), ", ")));
}
else
{
// we are in the "static" case, so we need at least one column defined. For non-compact however, having
// just the PK is fine.
if (columns.isEmpty())
throw ire("COMPACT STORAGE with non-composite PRIMARY KEY require one column not part of the PRIMARY KEY, none given");
}
}
private void fixupCompactTable(List clusteringTypes,
Map columns,
boolean hasCounters,
TableMetadata.Builder builder)
{
Set flags = EnumSet.noneOf(TableMetadata.Flag.class);
boolean isDense = !clusteringTypes.isEmpty();
boolean isCompound = clusteringTypes.size() > 1;
if (isDense)
flags.add(TableMetadata.Flag.DENSE);
if (isCompound)
flags.add(TableMetadata.Flag.COMPOUND);
if (hasCounters)
flags.add(TableMetadata.Flag.COUNTER);
boolean isStaticCompact = !isDense && !isCompound;
builder.flags(flags);
columns.forEach((name, properties) -> {
// Note that for "static" no-clustering compact storage we use static for the defined columns
if (staticColumns.contains(name) || isStaticCompact)
builder.addStaticColumn(name, properties.type, properties.mask);
else
builder.addRegularColumn(name, properties.type, properties.mask);
});
DefaultNames names = new DefaultNames(builder.columnNames());
// Compact tables always have a clustering and a single regular value.
if (isStaticCompact)
{
builder.addClusteringColumn(names.defaultClusteringName(), UTF8Type.instance);
builder.addRegularColumn(names.defaultCompactValueName(), hasCounters ? CounterColumnType.instance : BytesType.instance);
}
else if (!builder.hasRegularColumns())
{
// Even for dense, we might not have our regular column if it wasn't part of the declaration. If
// that's the case, add it but with a specific EmptyType so we can recognize that case later
builder.addRegularColumn(names.defaultCompactValueName(), EmptyType.instance);
}
}
private static class DefaultNames
{
private static final String DEFAULT_CLUSTERING_NAME = "column";
private static final String DEFAULT_COMPACT_VALUE_NAME = "value";
private final Set usedNames;
private int clusteringIndex = 1;
private int compactIndex = 0;
private DefaultNames(Set usedNames)
{
this.usedNames = usedNames;
}
public String defaultClusteringName()
{
while (true)
{
String candidate = DEFAULT_CLUSTERING_NAME + clusteringIndex;
++clusteringIndex;
if (usedNames.add(candidate))
return candidate;
}
}
public String defaultCompactValueName()
{
while (true)
{
String candidate = compactIndex == 0 ? DEFAULT_COMPACT_VALUE_NAME : DEFAULT_COMPACT_VALUE_NAME + compactIndex;
++compactIndex;
if (usedNames.add(candidate))
return candidate;
}
}
}
public static TableMetadata.Builder parse(String cql, String keyspace)
{
return CQLFragmentParser.parseAny(CqlParser::createTableStatement, cql, "CREATE TABLE")
.keyspace(keyspace)
.prepare(null) // works around a messy ClientState/QueryProcessor class init deadlock
.builder(Types.none());
}
public final static class Raw extends CQLStatement.Raw
{
private final QualifiedName name;
private final boolean ifNotExists;
private boolean useCompactStorage = false;
private final Map rawColumns = new HashMap<>();
private final Set staticColumns = new HashSet<>();
private final List clusteringColumns = new ArrayList<>();
private List partitionKeyColumns;
private final LinkedHashMap clusteringOrder = new LinkedHashMap<>();
public final TableAttributes attrs = new TableAttributes();
public Raw(QualifiedName name, boolean ifNotExists)
{
this.name = name;
this.ifNotExists = ifNotExists;
}
public CreateTableStatement prepare(ClientState state)
{
String keyspaceName = name.hasKeyspace() ? name.getKeyspace() : state.getKeyspace();
if (null == partitionKeyColumns)
throw ire("No PRIMARY KEY specifed for table '%s' (exactly one required)", name);
return new CreateTableStatement(keyspaceName,
name.getName(),
rawColumns,
staticColumns,
partitionKeyColumns,
clusteringColumns,
clusteringOrder,
attrs,
ifNotExists,
useCompactStorage);
}
public String keyspace()
{
return name.getKeyspace();
}
public Raw keyspace(String keyspace)
{
name.setKeyspace(keyspace, true);
return this;
}
public String table()
{
return name.getName();
}
public void addColumn(ColumnIdentifier column, CQL3Type.Raw type, boolean isStatic, ColumnMask.Raw mask)
{
if (null != rawColumns.put(column, new ColumnProperties.Raw(type, mask)))
throw ire("Duplicate column '%s' declaration for table '%s'", column, name);
if (isStatic)
staticColumns.add(column);
}
public void setCompactStorage()
{
useCompactStorage = true;
}
public void setPartitionKeyColumn(ColumnIdentifier column)
{
setPartitionKeyColumns(Collections.singletonList(column));
}
public void setPartitionKeyColumns(List columns)
{
if (null != partitionKeyColumns)
throw ire("Multiple PRIMARY KEY specified for table '%s' (exactly one required)", name);
partitionKeyColumns = columns;
}
public void markClusteringColumn(ColumnIdentifier column)
{
clusteringColumns.add(column);
}
public void extendClusteringOrder(ColumnIdentifier column, boolean ascending)
{
if (null != clusteringOrder.put(column, ascending))
throw ire("Duplicate column '%s' in CLUSTERING ORDER BY clause for table '%s'", column, name);
}
}
/**
* Class encapsulating the properties of a column, which are its type and mask.
*/
private final static class ColumnProperties
{
public final AbstractType type;
public final CQL3Type cqlType; // we keep the original CQL type for printing fully qualified user type names
@Nullable
public final ColumnMask mask;
public ColumnProperties(AbstractType type, CQL3Type cqlType, @Nullable ColumnMask mask)
{
this.type = type;
this.cqlType = cqlType;
this.mask = mask;
}
public ColumnProperties withReversedType()
{
return new ColumnProperties(ReversedType.getInstance(type),
cqlType,
mask == null ? null : mask.withReversedType());
}
public final static class Raw
{
public final CQL3Type.Raw rawType;
@Nullable
public final ColumnMask.Raw rawMask;
public Raw(CQL3Type.Raw rawType, @Nullable ColumnMask.Raw rawMask)
{
this.rawType = rawType;
this.rawMask = rawMask;
}
public void validate(ClientState state, ColumnIdentifier name)
{
rawType.validate(state, "Column " + name);
if (rawMask != null)
ColumnMask.ensureEnabled();
}
public ColumnProperties prepare(String keyspace, String table, ColumnIdentifier column, Types udts)
{
CQL3Type cqlType = rawType.prepare(keyspace, udts);
AbstractType type = cqlType.getType();
ColumnMask mask = rawMask == null ? null : rawMask.prepare(keyspace, table, column, type);
return new ColumnProperties(type, cqlType, mask);
}
}
}
}
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