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A fork of the Apache Cassandra Project ready to embed Elasticsearch.
/*
* 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.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.stream.Collectors;
import com.google.common.collect.*;
import com.google.common.collect.Maps;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.cassandra.config.*;
import org.apache.cassandra.config.CFMetaData.DroppedColumn;
import org.apache.cassandra.config.ColumnDefinition.ClusteringOrder;
import org.apache.cassandra.cql3.*;
import org.apache.cassandra.cql3.functions.*;
import org.apache.cassandra.cql3.statements.SelectStatement;
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.db.filter.ColumnFilter;
import org.apache.cassandra.db.view.View;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.cassandra.exceptions.InvalidRequestException;
import org.apache.cassandra.transport.ProtocolVersion;
import org.apache.cassandra.utils.ByteBufferUtil;
import org.apache.cassandra.utils.FBUtilities;
import org.apache.cassandra.utils.Pair;
import static java.lang.String.format;
import static java.util.stream.Collectors.toList;
import static org.apache.cassandra.cql3.QueryProcessor.executeInternal;
import static org.apache.cassandra.cql3.QueryProcessor.executeOnceInternal;
import static org.apache.cassandra.schema.CQLTypeParser.parse;
/**
* system_schema.* tables and methods for manipulating them.
*/
public final class SchemaKeyspace
{
private SchemaKeyspace()
{
}
private static final Logger logger = LoggerFactory.getLogger(SchemaKeyspace.class);
private static final boolean FLUSH_SCHEMA_TABLES = Boolean.parseBoolean(System.getProperty("cassandra.test.flush_local_schema_changes", "true"));
private static final boolean IGNORE_CORRUPTED_SCHEMA_TABLES = Boolean.parseBoolean(System.getProperty("cassandra.ignore_corrupted_schema_tables", "false"));
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";
/**
* The order in this list matters.
*
* When flushing schema tables, we want to flush them in a way that mitigates the effects of an abrupt shutdown whilst
* the tables are being flushed. On startup, we load the schema from disk before replaying the CL, so we need to
* try to avoid problems like reading a table without columns or types, for example. So columns and types should be
* flushed before tables, which should be flushed before keyspaces.
*
* When truncating, the order should be reversed. For immutable lists this is an efficient operation that simply
* iterates in reverse order.
*
* See CASSANDRA-12213 for more details.
*/
public static final ImmutableList ALL =
ImmutableList.of(COLUMNS, DROPPED_COLUMNS, TRIGGERS, TYPES, FUNCTIONS, AGGREGATES, INDEXES, TABLES, VIEWS, KEYSPACES);
/**
* The tables to which we added the cdc column. This is used in {@link #makeUpdateForSchema} below to make sure we skip that
* column is cdc is disabled as the columns breaks pre-cdc to post-cdc upgrades (typically, 3.0 -> 3.X).
*/
private static final Set TABLES_WITH_CDC_ADDED = ImmutableSet.of(TABLES, VIEWS);
/**
* Until we upgrade the messaging service version, that is version 4.0, we must preserve the old order (before CASSANDRA-12213)
* for digest calculations, otherwise the nodes will never agree on the schema during a rolling upgrade, see CASSANDRA-13559.
*/
public static final ImmutableList ALL_FOR_DIGEST =
ImmutableList.of(KEYSPACES, TABLES, COLUMNS, DROPPED_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>,"
+ "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>,"
+ "comment text,"
+ "compaction frozen>,"
+ "compression frozen>,"
+ "crc_check_chance double,"
+ "dclocal_read_repair_chance double,"
+ "default_time_to_live int,"
+ "extensions frozen>,"
+ "flags frozen>," // 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,"
+ "cdc boolean,"
+ "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>,"
+ "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,"
+ "where_clause text,"
+ "bloom_filter_fp_chance double,"
+ "caching frozen>,"
+ "comment text,"
+ "compaction frozen>,"
+ "compression frozen>,"
+ "crc_check_chance double,"
+ "dclocal_read_repair_chance double,"
+ "default_time_to_live int,"
+ "extensions frozen>,"
+ "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,"
+ "cdc boolean,"
+ "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>,"
+ "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>,"
+ "field_types frozen>,"
+ "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,"
+ "argument_types frozen>,"
+ "argument_names frozen>,"
+ "body text,"
+ "language text,"
+ "return_type text,"
+ "called_on_null_input boolean,"
+ "PRIMARY KEY ((keyspace_name), function_name, argument_types))");
private static final CFMetaData Aggregates =
compile(AGGREGATES,
"user defined aggregate definitions",
"CREATE TABLE %s ("
+ "keyspace_name text,"
+ "aggregate_name text,"
+ "argument_types frozen>,"
+ "final_func text,"
+ "initcond text,"
+ "return_type text,"
+ "state_func text,"
+ "state_type text,"
+ "PRIMARY KEY ((keyspace_name), aggregate_name, argument_types))");
public static final List 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), SchemaConstants.SCHEMA_KEYSPACE_NAME)
.comment(description)
.gcGraceSeconds((int) TimeUnit.DAYS.toSeconds(7));
}
public static KeyspaceMetadata metadata()
{
return KeyspaceMetadata.create(SchemaConstants.SCHEMA_KEYSPACE_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(SchemaConstants.SYSTEM_KEYSPACE_NAME);
KeyspaceMetadata schema = Schema.instance.getKSMetaData(SchemaConstants.SCHEMA_KEYSPACE_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 = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, schemaTable);
for (String systemKeyspace : SchemaConstants.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).build().apply();
makeCreateKeyspaceMutation(schema, timestamp + 1).build().apply();
}
public static void truncate()
{
ALL.reverse().forEach(table -> getSchemaCFS(table).truncateBlocking());
}
static void flush()
{
if (!DatabaseDescriptor.isUnsafeSystem())
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_FOR_DIGEST)
{
// Due to CASSANDRA-11050 we want to exclude DROPPED_COLUMNS for schema digest computation. We can and
// should remove that in the next major release (so C* 4.0).
if (table.equals(DROPPED_COLUMNS))
continue;
ReadCommand cmd = getReadCommandForTableSchema(table);
try (ReadExecutionController executionController = cmd.executionController();
PartitionIterator schema = cmd.executeInternal(executionController))
{
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(SchemaConstants.SCHEMA_KEYSPACE_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 convertSchemaToMutations()
{
Map mutationMap = new HashMap<>();
for (String table : ALL)
convertSchemaToMutations(mutationMap, table);
return mutationMap.values();
}
private static void convertSchemaToMutations(Map mutationMap, String schemaTableName)
{
ReadCommand cmd = getReadCommandForTableSchema(schemaTableName);
try (ReadExecutionController executionController = cmd.executionController();
UnfilteredPartitionIterator iter = cmd.executeLocally(executionController))
{
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(SchemaConstants.SCHEMA_KEYSPACE_NAME, key);
mutationMap.put(key, mutation);
}
mutation.add(makeUpdateForSchema(partition, cmd.columnFilter()));
}
}
}
}
/**
* Creates a PartitionUpdate from a partition containing some schema table content.
* This is mainly calling {@code PartitionUpdate.fromIterator} except for the fact that it deals with
* the problem described in #12236.
*/
private static PartitionUpdate makeUpdateForSchema(UnfilteredRowIterator partition, ColumnFilter filter)
{
// This method is used during schema migration tasks, and if cdc is disabled, we want to force excluding the
// 'cdc' column from the TABLES/VIEWS schema table because it is problematic if received by older nodes (see #12236
// and #12697). Otherwise though, we just simply "buffer" the content of the partition into a PartitionUpdate.
if (DatabaseDescriptor.isCDCEnabled() || !TABLES_WITH_CDC_ADDED.contains(partition.metadata().cfName))
return PartitionUpdate.fromIterator(partition, filter);
// We want to skip the 'cdc' column. A simple solution for that is based on the fact that
// 'PartitionUpdate.fromIterator()' will ignore any columns that are marked as 'fetched' but not 'queried'.
ColumnFilter.Builder builder = ColumnFilter.allColumnsBuilder(partition.metadata());
for (ColumnDefinition column : filter.fetchedColumns())
{
if (!column.name.toString().equals("cdc"))
builder.add(column);
}
return PartitionUpdate.fromIterator(partition, builder.build());
}
private static boolean isSystemKeyspaceSchemaPartition(DecoratedKey partitionKey)
{
return SchemaConstants.isSystemKeyspace(UTF8Type.instance.compose(partitionKey.getKey()));
}
/*
* Schema entities to mutations
*/
private static DecoratedKey decorate(CFMetaData metadata, Object value)
{
return metadata.decorateKey(((AbstractType)metadata.getKeyValidator()).decompose(value));
}
public static Mutation.SimpleBuilder makeCreateKeyspaceMutation(String name, KeyspaceParams params, long timestamp)
{
Mutation.SimpleBuilder builder = Mutation.simpleBuilder(Keyspaces.ksName, decorate(Keyspaces, name))
.timestamp(timestamp);
builder.update(Keyspaces)
.row()
.add(KeyspaceParams.Option.DURABLE_WRITES.toString(), params.durableWrites)
.add(KeyspaceParams.Option.REPLICATION.toString(), params.replication.asMap());
return builder;
}
public static Mutation.SimpleBuilder makeCreateKeyspaceMutation(KeyspaceMetadata keyspace, long timestamp)
{
Mutation.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
keyspace.tables.forEach(table -> addTableToSchemaMutation(table, true, builder));
keyspace.views.forEach(view -> addViewToSchemaMutation(view, true, builder));
keyspace.types.forEach(type -> addTypeToSchemaMutation(type, builder));
keyspace.functions.udfs().forEach(udf -> addFunctionToSchemaMutation(udf, builder));
keyspace.functions.udas().forEach(uda -> addAggregateToSchemaMutation(uda, builder));
return builder;
}
public static Mutation.SimpleBuilder makeDropKeyspaceMutation(KeyspaceMetadata keyspace, long timestamp)
{
Mutation.SimpleBuilder builder = Mutation.simpleBuilder(SchemaConstants.SCHEMA_KEYSPACE_NAME, decorate(Keyspaces, keyspace.name))
.timestamp(timestamp);
for (CFMetaData schemaTable : ALL_TABLE_METADATA)
builder.update(schemaTable).delete();
return builder;
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTypeToSchemaMutation(type, builder);
return builder;
}
static void addTypeToSchemaMutation(UserType type, Mutation.SimpleBuilder mutation)
{
mutation.update(Types)
.row(type.getNameAsString())
.add("field_names", type.fieldNames().stream().map(FieldIdentifier::toString).collect(toList()))
.add("field_types", type.fieldTypes().stream().map(AbstractType::asCQL3Type).map(CQL3Type::toString).collect(toList()));
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
builder.update(Types).row(type.name).delete();
return builder;
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTableToSchemaMutation(table, true, builder);
return builder;
}
static void addTableToSchemaMutation(CFMetaData table, boolean withColumnsAndTriggers, Mutation.SimpleBuilder builder)
{
Row.SimpleBuilder rowBuilder = builder.update(Tables)
.row(table.cfName)
.add("id", table.cfId)
.add("flags", CFMetaData.flagsToStrings(table.flags()));
addTableParamsToRowBuilder(table.params, rowBuilder);
if (withColumnsAndTriggers)
{
for (ColumnDefinition column : table.allColumns())
addColumnToSchemaMutation(table, column, builder);
for (CFMetaData.DroppedColumn column : table.getDroppedColumns().values())
addDroppedColumnToSchemaMutation(table, column, builder);
for (TriggerMetadata trigger : table.getTriggers())
addTriggerToSchemaMutation(table, trigger, builder);
for (IndexMetadata index : table.getIndexes())
addIndexToSchemaMutation(table, index, builder);
}
}
private static void addTableParamsToRowBuilder(TableParams params, Row.SimpleBuilder builder)
{
builder.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())
.add("crc_check_chance", params.crcCheckChance)
.add("caching", params.caching.asMap())
.add("compaction", params.compaction.asMap())
.add("compression", params.compression.asMap())
.add("extensions", params.extensions);
// Only add CDC-enabled flag to schema if it's enabled on the node. This is to work around RTE's post-8099 if a 3.8+
// node sends table schema to a < 3.8 versioned node with an unknown column.
if (DatabaseDescriptor.isCDCEnabled())
builder.add("cdc", params.cdc);
}
public static Mutation.SimpleBuilder makeUpdateTableMutation(KeyspaceMetadata keyspace,
CFMetaData oldTable,
CFMetaData newTable,
long timestamp)
{
Mutation.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addTableToSchemaMutation(newTable, false, builder);
MapDifference columnDiff = Maps.difference(oldTable.getColumnMetadata(),
newTable.getColumnMetadata());
// columns that are no longer needed
for (ColumnDefinition column : columnDiff.entriesOnlyOnLeft().values())
dropColumnFromSchemaMutation(oldTable, column, builder);
// newly added columns
for (ColumnDefinition column : columnDiff.entriesOnlyOnRight().values())
addColumnToSchemaMutation(newTable, column, builder);
// old columns with updated attributes
for (ByteBuffer name : columnDiff.entriesDiffering().keySet())
addColumnToSchemaMutation(newTable, newTable.getColumnDefinition(name), builder);
// dropped columns
MapDifference droppedColumnDiff =
Maps.difference(oldTable.getDroppedColumns(), newTable.getDroppedColumns());
// newly dropped columns
for (CFMetaData.DroppedColumn column : droppedColumnDiff.entriesOnlyOnRight().values())
addDroppedColumnToSchemaMutation(newTable, column, builder);
// columns added then dropped again
for (ByteBuffer name : droppedColumnDiff.entriesDiffering().keySet())
addDroppedColumnToSchemaMutation(newTable, newTable.getDroppedColumns().get(name), builder);
MapDifference triggerDiff = triggersDiff(oldTable.getTriggers(), newTable.getTriggers());
// dropped triggers
for (TriggerMetadata trigger : triggerDiff.entriesOnlyOnLeft().values())
dropTriggerFromSchemaMutation(oldTable, trigger, builder);
// newly created triggers
for (TriggerMetadata trigger : triggerDiff.entriesOnlyOnRight().values())
addTriggerToSchemaMutation(newTable, trigger, builder);
MapDifference indexesDiff = indexesDiff(oldTable.getIndexes(),
newTable.getIndexes());
// dropped indexes
for (IndexMetadata index : indexesDiff.entriesOnlyOnLeft().values())
dropIndexFromSchemaMutation(oldTable, index, builder);
// newly created indexes
for (IndexMetadata index : indexesDiff.entriesOnlyOnRight().values())
addIndexToSchemaMutation(newTable, index, builder);
// updated indexes need to be updated
for (MapDifference.ValueDifference diff : indexesDiff.entriesDiffering().values())
addUpdatedIndexToSchemaMutation(newTable, diff.rightValue(), builder);
return builder;
}
private static MapDifference indexesDiff(Indexes before, Indexes after)
{
Map beforeMap = new HashMap<>();
before.forEach(i -> beforeMap.put(i.name, i));
Map afterMap = new HashMap<>();
after.forEach(i -> afterMap.put(i.name, i));
return Maps.difference(beforeMap, afterMap);
}
private static MapDifference triggersDiff(Triggers before, Triggers after)
{
Map beforeMap = new HashMap<>();
before.forEach(t -> beforeMap.put(t.name, t));
Map afterMap = new HashMap<>();
after.forEach(t -> afterMap.put(t.name, t));
return Maps.difference(beforeMap, afterMap);
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
builder.update(Tables).row(table.cfName).delete();
for (ColumnDefinition column : table.allColumns())
dropColumnFromSchemaMutation(table, column, builder);
for (CFMetaData.DroppedColumn column : table.getDroppedColumns().values())
dropDroppedColumnFromSchemaMutation(table, column, timestamp, builder);
for (TriggerMetadata trigger : table.getTriggers())
dropTriggerFromSchemaMutation(table, trigger, builder);
for (IndexMetadata index : table.getIndexes())
dropIndexFromSchemaMutation(table, index, builder);
return builder;
}
private static void addColumnToSchemaMutation(CFMetaData table, ColumnDefinition column, Mutation.SimpleBuilder builder)
{
AbstractType type = column.type;
if (type instanceof ReversedType)
type = ((ReversedType) type).baseType;
builder.update(Columns)
.row(table.cfName, column.name.toString())
.add("column_name_bytes", column.name.bytes)
.add("kind", column.kind.toString().toLowerCase())
.add("position", column.position())
.add("clustering_order", column.clusteringOrder().toString().toLowerCase())
.add("type", type.asCQL3Type().toString());
}
private static void dropColumnFromSchemaMutation(CFMetaData table, ColumnDefinition column, Mutation.SimpleBuilder builder)
{
// Note: we do want to use name.toString(), not name.bytes directly for backward compatibility (For CQL3, this won't make a difference).
builder.update(Columns).row(table.cfName, column.name.toString()).delete();
}
private static void addDroppedColumnToSchemaMutation(CFMetaData table, CFMetaData.DroppedColumn column, Mutation.SimpleBuilder builder)
{
builder.update(DroppedColumns)
.row(table.cfName, column.name)
.add("dropped_time", new Date(TimeUnit.MICROSECONDS.toMillis(column.droppedTime)))
.add("type", expandUserTypes(column.type).asCQL3Type().toString());
}
private static void dropDroppedColumnFromSchemaMutation(CFMetaData table, DroppedColumn column, long timestamp, Mutation.SimpleBuilder builder)
{
builder.update(DroppedColumns).row(table.cfName, column.name).delete();
}
private static void addTriggerToSchemaMutation(CFMetaData table, TriggerMetadata trigger, Mutation.SimpleBuilder builder)
{
builder.update(Triggers)
.row(table.cfName, trigger.name)
.add("options", Collections.singletonMap("class", trigger.classOption));
}
private static void dropTriggerFromSchemaMutation(CFMetaData table, TriggerMetadata trigger, Mutation.SimpleBuilder builder)
{
builder.update(Triggers).row(table.cfName, trigger.name).delete();
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addViewToSchemaMutation(view, true, builder);
return builder;
}
private static void addViewToSchemaMutation(ViewDefinition view, boolean includeColumns, Mutation.SimpleBuilder builder)
{
CFMetaData table = view.metadata;
Row.SimpleBuilder rowBuilder = builder.update(Views)
.row(view.viewName)
.add("include_all_columns", view.includeAllColumns)
.add("base_table_id", view.baseTableId)
.add("base_table_name", view.baseTableMetadata().cfName)
.add("where_clause", view.whereClause)
.add("id", table.cfId);
addTableParamsToRowBuilder(table.params, rowBuilder);
if (includeColumns)
{
for (ColumnDefinition column : table.allColumns())
addColumnToSchemaMutation(table, column, builder);
for (CFMetaData.DroppedColumn column : table.getDroppedColumns().values())
addDroppedColumnToSchemaMutation(table, column, builder);
}
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
builder.update(Views).row(view.viewName).delete();
CFMetaData table = view.metadata;
for (ColumnDefinition column : table.allColumns())
dropColumnFromSchemaMutation(table, column, builder);
for (IndexMetadata index : table.getIndexes())
dropIndexFromSchemaMutation(table, index, builder);
return builder;
}
public static Mutation.SimpleBuilder makeUpdateViewMutation(Mutation.SimpleBuilder builder,
ViewDefinition oldView,
ViewDefinition newView)
{
addViewToSchemaMutation(newView, false, builder);
MapDifference 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, builder);
// newly added columns
for (ColumnDefinition column : columnDiff.entriesOnlyOnRight().values())
addColumnToSchemaMutation(newView.metadata, column, builder);
// old columns with updated attributes
for (ByteBuffer name : columnDiff.entriesDiffering().keySet())
addColumnToSchemaMutation(newView.metadata, newView.metadata.getColumnDefinition(name), builder);
// dropped columns
MapDifference droppedColumnDiff =
Maps.difference(oldView.metadata.getDroppedColumns(), oldView.metadata.getDroppedColumns());
// newly dropped columns
for (CFMetaData.DroppedColumn column : droppedColumnDiff.entriesOnlyOnRight().values())
addDroppedColumnToSchemaMutation(oldView.metadata, column, builder);
// columns added then dropped again
for (ByteBuffer name : droppedColumnDiff.entriesDiffering().keySet())
addDroppedColumnToSchemaMutation(newView.metadata, newView.metadata.getDroppedColumns().get(name), builder);
return builder;
}
private static void addIndexToSchemaMutation(CFMetaData table,
IndexMetadata index,
Mutation.SimpleBuilder builder)
{
builder.update(Indexes)
.row(table.cfName, index.name)
.add("kind", index.kind.toString())
.add("options", index.options);
}
private static void dropIndexFromSchemaMutation(CFMetaData table,
IndexMetadata index,
Mutation.SimpleBuilder builder)
{
builder.update(Indexes).row(table.cfName, index.name).delete();
}
private static void addUpdatedIndexToSchemaMutation(CFMetaData table,
IndexMetadata index,
Mutation.SimpleBuilder builder)
{
addIndexToSchemaMutation(table, index, builder);
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addFunctionToSchemaMutation(function, builder);
return builder;
}
static void addFunctionToSchemaMutation(UDFunction function, Mutation.SimpleBuilder builder)
{
builder.update(Functions)
.row(function.name().name, functionArgumentsList(function))
.add("body", function.body())
.add("language", function.language())
.add("return_type", function.returnType().asCQL3Type().toString())
.add("called_on_null_input", function.isCalledOnNullInput())
.add("argument_names", function.argNames().stream().map((c) -> bbToString(c.bytes)).collect(toList()));
}
private static String bbToString(ByteBuffer bb)
{
try
{
return ByteBufferUtil.string(bb);
}
catch (CharacterCodingException e)
{
throw new RuntimeException(e);
}
}
private static List functionArgumentsList(AbstractFunction fun)
{
return fun.argTypes()
.stream()
.map(AbstractType::asCQL3Type)
.map(CQL3Type::toString)
.collect(toList());
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
builder.update(Functions).row(function.name().name, functionArgumentsList(function)).delete();
return builder;
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
addAggregateToSchemaMutation(aggregate, builder);
return builder;
}
static void addAggregateToSchemaMutation(UDAggregate aggregate, Mutation.SimpleBuilder builder)
{
builder.update(Aggregates)
.row(aggregate.name().name, functionArgumentsList(aggregate))
.add("return_type", aggregate.returnType().asCQL3Type().toString())
.add("state_func", aggregate.stateFunction().name().name)
.add("state_type", aggregate.stateType().asCQL3Type().toString())
.add("final_func", aggregate.finalFunction() != null ? aggregate.finalFunction().name().name : null)
.add("initcond", aggregate.initialCondition() != null
// must use the frozen state type here, as 'null' for unfrozen collections may mean 'empty'
? aggregate.stateType().freeze().asCQL3Type().toCQLLiteral(aggregate.initialCondition(), ProtocolVersion.CURRENT)
: null);
}
public static Mutation.SimpleBuilder 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.SimpleBuilder builder = makeCreateKeyspaceMutation(keyspace.name, keyspace.params, timestamp);
builder.update(Aggregates).row(aggregate.name().name, functionArgumentsList(aggregate)).delete();
return builder;
}
/*
* Fetching schema
*/
public static Keyspaces fetchNonSystemKeyspaces()
{
return fetchKeyspacesWithout(SchemaConstants.SYSTEM_KEYSPACE_NAMES);
}
private static Keyspaces fetchKeyspacesWithout(Set excludedKeyspaceNames)
{
String query = format("SELECT keyspace_name FROM %s.%s", SchemaConstants.SCHEMA_KEYSPACE_NAME, KEYSPACES);
Keyspaces.Builder keyspaces = org.apache.cassandra.schema.Keyspaces.builder();
for (UntypedResultSet.Row row : query(query))
{
String keyspaceName = row.getString("keyspace_name");
if (!excludedKeyspaceNames.contains(keyspaceName))
keyspaces.add(fetchKeyspace(keyspaceName));
}
return keyspaces.build();
}
private static Keyspaces fetchKeyspacesOnly(Set includedKeyspaceNames)
{
/*
* We know the keyspace names we are going to query, but we still want to run the SELECT IN
* query, to filter out the keyspaces that had been dropped by the applied mutation set.
*/
String query = format("SELECT keyspace_name FROM %s.%s WHERE keyspace_name IN ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, KEYSPACES);
Keyspaces.Builder keyspaces = org.apache.cassandra.schema.Keyspaces.builder();
for (UntypedResultSet.Row row : query(query, new ArrayList<>(includedKeyspaceNames)))
keyspaces.add(fetchKeyspace(row.getString("keyspace_name")));
return keyspaces.build();
}
private static KeyspaceMetadata fetchKeyspace(String keyspaceName)
{
KeyspaceParams params = fetchKeyspaceParams(keyspaceName);
Types types = fetchTypes(keyspaceName);
Tables tables = fetchTables(keyspaceName, types);
Views views = fetchViews(keyspaceName, types);
Functions functions = fetchFunctions(keyspaceName, types);
return KeyspaceMetadata.create(keyspaceName, params, tables, views, types, functions);
}
private static KeyspaceParams fetchKeyspaceParams(String keyspaceName)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, KEYSPACES);
UntypedResultSet.Row row = query(query, keyspaceName).one();
boolean durableWrites = row.getBoolean(KeyspaceParams.Option.DURABLE_WRITES.toString());
Map replication = row.getFrozenTextMap(KeyspaceParams.Option.REPLICATION.toString());
return KeyspaceParams.create(durableWrites, replication);
}
private static Types fetchTypes(String keyspaceName)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, TYPES);
Types.RawBuilder types = org.apache.cassandra.schema.Types.rawBuilder(keyspaceName);
for (UntypedResultSet.Row row : query(query, keyspaceName))
{
String name = row.getString("type_name");
List fieldNames = row.getFrozenList("field_names", UTF8Type.instance);
List fieldTypes = row.getFrozenList("field_types", UTF8Type.instance);
types.add(name, fieldNames, fieldTypes);
}
return types.build();
}
private static Tables fetchTables(String keyspaceName, Types types)
{
String query = format("SELECT table_name FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, TABLES);
Tables.Builder tables = org.apache.cassandra.schema.Tables.builder();
for (UntypedResultSet.Row row : query(query, keyspaceName))
{
String tableName = row.getString("table_name");
try
{
tables.add(fetchTable(keyspaceName, tableName, types));
}
catch (MissingColumns exc)
{
if (!IGNORE_CORRUPTED_SCHEMA_TABLES)
{
logger.error("No columns found for table {}.{} in {}.{}. This may be due to " +
"corruption or concurrent dropping and altering of a table. If this table " +
"is supposed to be dropped, restart cassandra with -Dcassandra.ignore_corrupted_schema_tables=true " +
"and run the following query: \"DELETE FROM {}.{} WHERE keyspace_name = '{}' AND table_name = '{}';\"." +
"If the table is not supposed to be dropped, restore {}.{} sstables from backups.",
keyspaceName, tableName,
SchemaConstants.SCHEMA_KEYSPACE_NAME, COLUMNS,
SchemaConstants.SCHEMA_KEYSPACE_NAME, TABLES,
keyspaceName, tableName,
SchemaConstants.SCHEMA_KEYSPACE_NAME, COLUMNS);
throw exc;
}
}
}
return tables.build();
}
private static CFMetaData fetchTable(String keyspaceName, String tableName, Types types)
{
String query = String.format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND table_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, TABLES);
UntypedResultSet rows = query(query, keyspaceName, tableName);
if (rows.isEmpty())
throw new RuntimeException(String.format("%s:%s not found in the schema definitions keyspace.", keyspaceName, tableName));
UntypedResultSet.Row row = rows.one();
UUID id = row.getUUID("id");
Set flags = CFMetaData.flagsFromStrings(row.getFrozenSet("flags", UTF8Type.instance));
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);
List columns = fetchColumns(keyspaceName, tableName, types);
if (!columns.stream().anyMatch(ColumnDefinition::isPartitionKey))
{
String msg = String.format("Table %s.%s did not have any partition key columns in the schema tables", keyspaceName, tableName);
throw new AssertionError(msg);
}
Map droppedColumns = fetchDroppedColumns(keyspaceName, tableName);
Indexes indexes = fetchIndexes(keyspaceName, tableName);
Triggers triggers = fetchTriggers(keyspaceName, tableName);
return CFMetaData.create(keyspaceName,
tableName,
id,
isDense,
isCompound,
isSuper,
isCounter,
false,
columns,
DatabaseDescriptor.getPartitioner())
.params(createTableParamsFromRow(row))
.droppedColumns(droppedColumns)
.indexes(indexes)
.triggers(triggers);
}
public static TableParams createTableParamsFromRow(UntypedResultSet.Row row)
{
return TableParams.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"))
.extensions(row.getFrozenMap("extensions", UTF8Type.instance, BytesType.instance))
.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"))
.crcCheckChance(row.getDouble("crc_check_chance"))
.speculativeRetry(SpeculativeRetryParam.fromString(row.getString("speculative_retry")))
.cdc(row.has("cdc") ? row.getBoolean("cdc") : false)
.build();
}
private static List fetchColumns(String keyspace, String table, Types types)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND table_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, COLUMNS);
UntypedResultSet columnRows = query(query, keyspace, table);
if (columnRows.isEmpty())
throw new MissingColumns("Columns not found in schema table for " + keyspace + "." + table);
List columns = new ArrayList<>();
columnRows.forEach(row -> columns.add(createColumnFromRow(row, types)));
return columns;
}
public static ColumnDefinition createColumnFromRow(UntypedResultSet.Row row, Types types)
{
String keyspace = row.getString("keyspace_name");
String table = row.getString("table_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 = parse(keyspace, row.getString("type"), types);
if (order == ClusteringOrder.DESC)
type = ReversedType.getInstance(type);
ColumnIdentifier name = ColumnIdentifier.getInterned(type,
row.getBytes("column_name_bytes"),
row.getString("column_name"));
return new ColumnDefinition(keyspace, table, name, type, position, kind);
}
private static Map fetchDroppedColumns(String keyspace, String table)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND table_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, DROPPED_COLUMNS);
Map columns = new HashMap<>();
for (UntypedResultSet.Row row : query(query, keyspace, table))
{
CFMetaData.DroppedColumn column = createDroppedColumnFromRow(row);
columns.put(UTF8Type.instance.decompose(column.name), column);
}
return columns;
}
private static CFMetaData.DroppedColumn createDroppedColumnFromRow(UntypedResultSet.Row row)
{
String keyspace = row.getString("keyspace_name");
String name = row.getString("column_name");
/*
* we never store actual UDT names in dropped column types (so that we can safely drop types if nothing refers to
* them anymore), so before storing dropped columns in schema we expand UDTs to tuples. See expandUserTypes method.
* Because of that, we can safely pass Types.none() to parse()
*/
AbstractType type = parse(keyspace, row.getString("type"), org.apache.cassandra.schema.Types.none());
long droppedTime = TimeUnit.MILLISECONDS.toMicros(row.getLong("dropped_time"));
return new CFMetaData.DroppedColumn(name, type, droppedTime);
}
private static Indexes fetchIndexes(String keyspace, String table)
{
String query = String.format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND table_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, INDEXES);
Indexes.Builder indexes = org.apache.cassandra.schema.Indexes.builder();
query(query, keyspace, table).forEach(row -> indexes.add(createIndexMetadataFromRow(row)));
return indexes.build();
}
private static IndexMetadata createIndexMetadataFromRow(UntypedResultSet.Row row)
{
String name = row.getString("index_name");
IndexMetadata.Kind type = IndexMetadata.Kind.valueOf(row.getString("kind"));
Map options = row.getFrozenTextMap("options");
return IndexMetadata.fromSchemaMetadata(name, type, options);
}
private static Triggers fetchTriggers(String keyspace, String table)
{
String query = String.format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND table_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, TRIGGERS);
Triggers.Builder triggers = org.apache.cassandra.schema.Triggers.builder();
query(query, keyspace, table).forEach(row -> triggers.add(createTriggerFromRow(row)));
return triggers.build();
}
private static TriggerMetadata createTriggerFromRow(UntypedResultSet.Row row)
{
String name = row.getString("trigger_name");
String classOption = row.getFrozenTextMap("options").get("class");
return new TriggerMetadata(name, classOption);
}
private static Views fetchViews(String keyspaceName, Types types)
{
String query = format("SELECT view_name FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, VIEWS);
Views.Builder views = org.apache.cassandra.schema.Views.builder();
for (UntypedResultSet.Row row : query(query, keyspaceName))
views.add(fetchView(keyspaceName, row.getString("view_name"), types));
return views.build();
}
private static ViewDefinition fetchView(String keyspaceName, String viewName, Types types)
{
String query = String.format("SELECT * FROM %s.%s WHERE keyspace_name = ? AND view_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, VIEWS);
UntypedResultSet rows = query(query, keyspaceName, viewName);
if (rows.isEmpty())
throw new RuntimeException(String.format("%s:%s not found in the schema definitions keyspace.", keyspaceName, viewName));
UntypedResultSet.Row row = rows.one();
UUID id = row.getUUID("id");
UUID baseTableId = row.getUUID("base_table_id");
String baseTableName = row.getString("base_table_name");
boolean includeAll = row.getBoolean("include_all_columns");
String whereClause = row.getString("where_clause");
List columns = fetchColumns(keyspaceName, viewName, types);
Map droppedColumns = fetchDroppedColumns(keyspaceName, viewName);
CFMetaData cfm = CFMetaData.create(keyspaceName,
viewName,
id,
false,
true,
false,
false,
true,
columns,
DatabaseDescriptor.getPartitioner())
.params(createTableParamsFromRow(row))
.droppedColumns(droppedColumns);
String rawSelect = View.buildSelectStatement(baseTableName, columns, whereClause);
SelectStatement.RawStatement rawStatement = (SelectStatement.RawStatement) QueryProcessor.parseStatement(rawSelect);
return new ViewDefinition(keyspaceName, viewName, baseTableId, baseTableName, includeAll, rawStatement, whereClause, cfm);
}
private static Functions fetchFunctions(String keyspaceName, Types types)
{
Functions udfs = fetchUDFs(keyspaceName, types);
Functions udas = fetchUDAs(keyspaceName, udfs, types);
return org.apache.cassandra.schema.Functions.builder()
.add(udfs)
.add(udas)
.build();
}
private static Functions fetchUDFs(String keyspaceName, Types types)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, FUNCTIONS);
Functions.Builder functions = org.apache.cassandra.schema.Functions.builder();
for (UntypedResultSet.Row row : query(query, keyspaceName))
functions.add(createUDFFromRow(row, types));
return functions.build();
}
private static UDFunction createUDFFromRow(UntypedResultSet.Row row, Types types)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("function_name");
FunctionName name = new FunctionName(ksName, functionName);
List argNames = new ArrayList<>();
for (String arg : row.getFrozenList("argument_names", UTF8Type.instance))
argNames.add(new ColumnIdentifier(arg, true));
List> argTypes = new ArrayList<>();
for (String type : row.getFrozenList("argument_types", UTF8Type.instance))
argTypes.add(parse(ksName, type, types));
AbstractType returnType = parse(ksName, row.getString("return_type"), types);
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.trace("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);
}
}
private static Functions fetchUDAs(String keyspaceName, Functions udfs, Types types)
{
String query = format("SELECT * FROM %s.%s WHERE keyspace_name = ?", SchemaConstants.SCHEMA_KEYSPACE_NAME, AGGREGATES);
Functions.Builder aggregates = org.apache.cassandra.schema.Functions.builder();
for (UntypedResultSet.Row row : query(query, keyspaceName))
aggregates.add(createUDAFromRow(row, udfs, types));
return aggregates.build();
}
private static UDAggregate createUDAFromRow(UntypedResultSet.Row row, Functions functions, Types types)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("aggregate_name");
FunctionName name = new FunctionName(ksName, functionName);
List> argTypes =
row.getFrozenList("argument_types", UTF8Type.instance)
.stream()
.map(t -> parse(ksName, t, types))
.collect(toList());
AbstractType returnType = parse(ksName, row.getString("return_type"), types);
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") ? parse(ksName, row.getString("state_type"), types) : null;
ByteBuffer initcond = row.has("initcond") ? Terms.asBytes(ksName, row.getString("initcond"), stateType) : null;
try
{
return UDAggregate.create(functions, name, argTypes, returnType, stateFunc, finalFunc, stateType, initcond);
}
catch (InvalidRequestException reason)
{
return UDAggregate.createBroken(name, argTypes, returnType, initcond, reason);
}
}
private static UntypedResultSet query(String query, Object... variables)
{
return executeInternal(query, variables);
}
/*
* Merging schema
*/
/**
* 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
*/
public static synchronized void mergeSchemaAndAnnounceVersion(Collection mutations) throws ConfigurationException
{
mergeSchema(mutations);
Schema.instance.updateVersionAndAnnounce();
}
public static synchronized void mergeSchema(Collection mutations)
{
// only compare the keyspaces affected by this set of schema mutations
Set affectedKeyspaces =
mutations.stream()
.map(m -> UTF8Type.instance.compose(m.key().getKey()))
.collect(Collectors.toSet());
// fetch the current state of schema for the affected keyspaces only
Keyspaces before = Schema.instance.getKeyspaces(affectedKeyspaces);
// apply the schema mutations and flush
mutations.forEach(Mutation::apply);
if (FLUSH_SCHEMA_TABLES)
flush();
// fetch the new state of schema from schema tables (not applied to Schema.instance yet)
Keyspaces after = fetchKeyspacesOnly(affectedKeyspaces);
// deal with the diff
MapDifference keyspacesDiff = before.diff(after);
// dropped keyspaces
for (KeyspaceMetadata keyspace : keyspacesDiff.entriesOnlyOnLeft().values())
{
keyspace.functions.udas().forEach(Schema.instance::dropAggregate);
keyspace.functions.udfs().forEach(Schema.instance::dropFunction);
keyspace.views.forEach(v -> Schema.instance.dropView(v.ksName, v.viewName));
keyspace.tables.forEach(t -> Schema.instance.dropTable(t.ksName, t.cfName));
keyspace.types.forEach(Schema.instance::dropType);
Schema.instance.dropKeyspace(keyspace.name);
}
// new keyspaces
for (KeyspaceMetadata keyspace : keyspacesDiff.entriesOnlyOnRight().values())
{
Schema.instance.addKeyspace(KeyspaceMetadata.create(keyspace.name, keyspace.params));
keyspace.types.forEach(Schema.instance::addType);
keyspace.tables.forEach(Schema.instance::addTable);
keyspace.views.forEach(Schema.instance::addView);
keyspace.functions.udfs().forEach(Schema.instance::addFunction);
keyspace.functions.udas().forEach(Schema.instance::addAggregate);
}
// updated keyspaces
for (Map.Entry> diff : keyspacesDiff.entriesDiffering().entrySet())
updateKeyspace(diff.getKey(), diff.getValue().leftValue(), diff.getValue().rightValue());
}
private static void updateKeyspace(String keyspaceName, KeyspaceMetadata keyspaceBefore, KeyspaceMetadata keyspaceAfter)
{
// calculate the deltas
MapDifference tablesDiff = keyspaceBefore.tables.diff(keyspaceAfter.tables);
MapDifference viewsDiff = keyspaceBefore.views.diff(keyspaceAfter.views);
MapDifference typesDiff = keyspaceBefore.types.diff(keyspaceAfter.types);
Map>, UDFunction> udfsBefore = new HashMap<>();
keyspaceBefore.functions.udfs().forEach(f -> udfsBefore.put(Pair.create(f.name(), functionArgumentsList(f)), f));
Map>, UDFunction> udfsAfter = new HashMap<>();
keyspaceAfter.functions.udfs().forEach(f -> udfsAfter.put(Pair.create(f.name(), functionArgumentsList(f)), f));
MapDifference>, UDFunction> udfsDiff = Maps.difference(udfsBefore, udfsAfter);
Map>, UDAggregate> udasBefore = new HashMap<>();
keyspaceBefore.functions.udas().forEach(f -> udasBefore.put(Pair.create(f.name(), functionArgumentsList(f)), f));
Map>, UDAggregate> udasAfter = new HashMap<>();
keyspaceAfter.functions.udas().forEach(f -> udasAfter.put(Pair.create(f.name(), functionArgumentsList(f)), f));
MapDifference>, UDAggregate> udasDiff = Maps.difference(udasBefore, udasAfter);
// update keyspace params, if changed
if (!keyspaceBefore.params.equals(keyspaceAfter.params))
Schema.instance.updateKeyspace(keyspaceName, keyspaceAfter.params);
// drop everything removed
udasDiff.entriesOnlyOnLeft().values().forEach(Schema.instance::dropAggregate);
udfsDiff.entriesOnlyOnLeft().values().forEach(Schema.instance::dropFunction);
viewsDiff.entriesOnlyOnLeft().values().forEach(v -> Schema.instance.dropView(v.ksName, v.viewName));
tablesDiff.entriesOnlyOnLeft().values().forEach(t -> Schema.instance.dropTable(t.ksName, t.cfName));
typesDiff.entriesOnlyOnLeft().values().forEach(Schema.instance::dropType);
// add everything created
typesDiff.entriesOnlyOnRight().values().forEach(Schema.instance::addType);
tablesDiff.entriesOnlyOnRight().values().forEach(Schema.instance::addTable);
viewsDiff.entriesOnlyOnRight().values().forEach(Schema.instance::addView);
udfsDiff.entriesOnlyOnRight().values().forEach(Schema.instance::addFunction);
udasDiff.entriesOnlyOnRight().values().forEach(Schema.instance::addAggregate);
// update everything altered
for (MapDifference.ValueDifference diff : typesDiff.entriesDiffering().values())
Schema.instance.updateType(diff.rightValue());
for (MapDifference.ValueDifference diff : tablesDiff.entriesDiffering().values())
Schema.instance.updateTable(diff.rightValue());
for (MapDifference.ValueDifference diff : viewsDiff.entriesDiffering().values())
Schema.instance.updateView(diff.rightValue());
for (MapDifference.ValueDifference diff : udfsDiff.entriesDiffering().values())
Schema.instance.updateFunction(diff.rightValue());
for (MapDifference.ValueDifference diff : udasDiff.entriesDiffering().values())
Schema.instance.updateAggregate(diff.rightValue());
}
/*
* Type parsing and transformation
*/
/*
* Recursively replaces any instances of UserType with an equivalent TupleType.
* We do it for dropped_columns, to allow safely dropping unused user types without retaining any references
* in dropped_columns.
*/
private static AbstractType expandUserTypes(AbstractType original)
{
if (original instanceof UserType)
return new TupleType(expandUserTypes(((UserType) original).fieldTypes()));
if (original instanceof TupleType)
return new TupleType(expandUserTypes(((TupleType) original).allTypes()));
if (original instanceof ListType)
return ListType.getInstance(expandUserTypes(((ListType) original).getElementsType()), original.isMultiCell());
if (original instanceof MapType)
{
MapType mt = (MapType) original;
return MapType.getInstance(expandUserTypes(mt.getKeysType()), expandUserTypes(mt.getValuesType()), mt.isMultiCell());
}
if (original instanceof SetType)
return SetType.getInstance(expandUserTypes(((SetType) original).getElementsType()), original.isMultiCell());
// this is very unlikely to ever happen, but it's better to be safe than sorry
if (original instanceof ReversedType)
return ReversedType.getInstance(expandUserTypes(((ReversedType) original).baseType));
if (original instanceof CompositeType)
return CompositeType.getInstance(expandUserTypes(original.getComponents()));
return original;
}
private static List> expandUserTypes(List> types)
{
return types.stream()
.map(SchemaKeyspace::expandUserTypes)
.collect(toList());
}
private static class MissingColumns extends RuntimeException
{
MissingColumns(String message)
{
super(message);
}
}
}
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