@Override
public void preCreateTable(Table tbl) throws MetaException {
boolean isExternal = MetaStoreUtils.isExternalTable(tbl);
if (isExternal) {
Log.info("Creating External table for Splice...");
}
String inputTableName = tbl.getParameters().get(MRConstants.SPLICE_TABLE_NAME);
if (inputTableName == null)
throw new MetaException(
"Wrong param, you are missing " + MRConstants.SPLICE_TABLE_NAME + " ? ");
// We can choose to support user define column mapping.
// But currently I don't think it is necessary
// We map all columns from Splice Table to Hive Table.
String connStr = tbl.getParameters().get(MRConstants.SPLICE_JDBC_STR);
if (connStr == null)
throw new MetaException("Wrong param, did you mean " + MRConstants.SPLICE_JDBC_STR + " ? ");
if (sqlUtil == null) sqlUtil = SMSQLUtil.getInstance(connStr);
if (inputTableName != null) {
inputTableName = inputTableName.trim();
checkTableExists(inputTableName);
}
}
public static Table fromMetastoreApiTable(org.apache.hadoop.hive.metastore.api.Table table) {
StorageDescriptor storageDescriptor = table.getSd();
if (storageDescriptor == null) {
throw new PrestoException(HIVE_INVALID_METADATA, "Table is missing storage descriptor");
}
Table.Builder tableBuilder =
Table.builder()
.setDatabaseName(table.getDbName())
.setTableName(table.getTableName())
.setOwner(nullToEmpty(table.getOwner()))
.setTableType(table.getTableType())
.setDataColumns(
storageDescriptor
.getCols()
.stream()
.map(MetastoreUtil::fromMetastoreApiFieldSchema)
.collect(toList()))
.setPartitionColumns(
table
.getPartitionKeys()
.stream()
.map(MetastoreUtil::fromMetastoreApiFieldSchema)
.collect(toList()))
.setParameters(
table.getParameters() == null ? ImmutableMap.of() : table.getParameters())
.setViewOriginalText(Optional.ofNullable(emptyToNull(table.getViewOriginalText())))
.setViewExpandedText(Optional.ofNullable(emptyToNull(table.getViewExpandedText())));
fromMetastoreApiStorageDescriptor(
storageDescriptor, tableBuilder.getStorageBuilder(), table.getTableName());
return tableBuilder.build();
}
/**
* Removes the cache directive associated with the table from HDFS, uncaching all data. Also
* updates the table's metadata. No-op if the table is not cached.
*/
public static void uncacheTbl(org.apache.hadoop.hive.metastore.api.Table table)
throws ImpalaRuntimeException {
Preconditions.checkNotNull(table);
LOG.debug("Uncaching table: " + table.getDbName() + "." + table.getTableName());
Long id = getCacheDirectiveId(table.getParameters());
if (id == null) return;
HdfsCachingUtil.removeDirective(id);
table.getParameters().remove(CACHE_DIR_ID_PROP_NAME);
table.getParameters().remove(CACHE_DIR_REPLICATION_PROP_NAME);
}
/**
* Returns the table parameter 'transient_lastDdlTime', or -1 if it's not set. TODO: move this to
* a metastore helper class.
*/
public static long getLastDdlTime(org.apache.hadoop.hive.metastore.api.Table msTbl) {
Preconditions.checkNotNull(msTbl);
Map<String, String> params = msTbl.getParameters();
String lastDdlTimeStr = params.get("transient_lastDdlTime");
if (lastDdlTimeStr != null) {
try {
return Long.parseLong(lastDdlTimeStr);
} catch (NumberFormatException e) {
}
}
return -1;
}
// This method is completely copied from Hive's HBaseStorageHandler.java.
private String getHBaseTableName(org.apache.hadoop.hive.metastore.api.Table tbl) {
// Give preference to TBLPROPERTIES over SERDEPROPERTIES
// (really we should only use TBLPROPERTIES, so this is just
// for backwards compatibility with the original specs).
String tableName = tbl.getParameters().get(HBaseSerDe.HBASE_TABLE_NAME);
if (tableName == null) {
tableName = tbl.getSd().getSerdeInfo().getParameters().get(HBaseSerDe.HBASE_TABLE_NAME);
}
if (tableName == null) {
tableName = tbl.getDbName() + "." + tbl.getTableName();
if (tableName.startsWith(DEFAULT_PREFIX)) {
tableName = tableName.substring(DEFAULT_PREFIX.length());
}
}
return tableName;
}
@Override
/**
* Load the table metadata and reuse metadata to speed up metadata loading. If the lastDdlTime has
* not been changed, that means the Hive metastore metadata has not been changed. Reuses the old
* Hive partition metadata from cachedEntry. To speed up Hdfs metadata loading, if a file's mtime
* has not been changed, reuses the old file block metadata from old value.
*
* <p>There are several cases where the cachedEntry might be reused incorrectly: 1. an ALTER TABLE
* ADD PARTITION or dynamic partition insert is executed through Hive. This does not update the
* lastDdlTime. 2. Hdfs rebalancer is executed. This changes the block locations but won't update
* the mtime (file modification time). If any of these occurs, user has to execute "invalidate
* metadata" to invalidate the metadata cache of the table to trigger a fresh load.
*/
public void load(
Table cachedEntry,
HiveMetaStoreClient client,
org.apache.hadoop.hive.metastore.api.Table msTbl)
throws TableLoadingException {
numHdfsFiles_ = 0;
totalHdfsBytes_ = 0;
LOG.debug("load table: " + db_.getName() + "." + name_);
// turn all exceptions into TableLoadingException
try {
// set nullPartitionKeyValue from the hive conf.
nullPartitionKeyValue_ =
client.getConfigValue("hive.exec.default.partition.name", "__HIVE_DEFAULT_PARTITION__");
// set NULL indicator string from table properties
nullColumnValue_ = msTbl.getParameters().get(serdeConstants.SERIALIZATION_NULL_FORMAT);
if (nullColumnValue_ == null) nullColumnValue_ = DEFAULT_NULL_COLUMN_VALUE;
// populate with both partition keys and regular columns
List<FieldSchema> partKeys = msTbl.getPartitionKeys();
List<FieldSchema> tblFields = Lists.newArrayList();
String inputFormat = msTbl.getSd().getInputFormat();
if (HdfsFileFormat.fromJavaClassName(inputFormat) == HdfsFileFormat.AVRO) {
tblFields.addAll(client.getFields(db_.getName(), name_));
} else {
tblFields.addAll(msTbl.getSd().getCols());
}
List<FieldSchema> fieldSchemas =
new ArrayList<FieldSchema>(partKeys.size() + tblFields.size());
fieldSchemas.addAll(partKeys);
fieldSchemas.addAll(tblFields);
// The number of clustering columns is the number of partition keys.
numClusteringCols_ = partKeys.size();
loadColumns(fieldSchemas, client);
// Collect the list of partitions to use for the table. Partitions may be reused
// from the existing cached table entry (if one exists), read from the metastore,
// or a mix of both. Whether or not a partition is reused depends on whether
// the table or partition has been modified.
List<org.apache.hadoop.hive.metastore.api.Partition> msPartitions = Lists.newArrayList();
if (cachedEntry == null
|| !(cachedEntry instanceof HdfsTable)
|| cachedEntry.lastDdlTime_ != lastDdlTime_) {
msPartitions.addAll(client.listPartitions(db_.getName(), name_, Short.MAX_VALUE));
} else {
// The table was already in the metadata cache and it has not been modified.
Preconditions.checkArgument(cachedEntry instanceof HdfsTable);
HdfsTable cachedHdfsTableEntry = (HdfsTable) cachedEntry;
// Set of partition names that have been modified. Partitions in this Set need to
// be reloaded from the metastore.
Set<String> modifiedPartitionNames = Sets.newHashSet();
// If these are not the exact same object, look up the set of partition names in
// the metastore. This is to support the special case of CTAS which creates a
// "temp" table that doesn't actually exist in the metastore.
if (cachedEntry != this) {
// Since the table has not been modified, we might be able to reuse some of the
// old partition metadata if the individual partitions have not been modified.
// First get a list of all the partition names for this table from the
// metastore, this is much faster than listing all the Partition objects.
modifiedPartitionNames.addAll(
client.listPartitionNames(db_.getName(), name_, Short.MAX_VALUE));
}
int totalPartitions = modifiedPartitionNames.size();
// Get all the partitions from the cached entry that have not been modified.
for (HdfsPartition cachedPart : cachedHdfsTableEntry.getPartitions()) {
// Skip the default partition and any partitions that have been modified.
if (cachedPart.isDirty()
|| cachedPart.getMetaStorePartition() == null
|| cachedPart.getId() == DEFAULT_PARTITION_ID) {
continue;
}
org.apache.hadoop.hive.metastore.api.Partition cachedMsPart =
cachedPart.getMetaStorePartition();
Preconditions.checkNotNull(cachedMsPart);
// This is a partition we already know about and it hasn't been modified.
// No need to reload the metadata.
String cachedPartName = cachedPart.getPartitionName();
if (modifiedPartitionNames.contains(cachedPartName)) {
msPartitions.add(cachedMsPart);
modifiedPartitionNames.remove(cachedPartName);
}
}
LOG.info(
String.format(
"Incrementally refreshing %d/%d partitions.",
modifiedPartitionNames.size(), totalPartitions));
// No need to make the metastore call if no partitions are to be updated.
if (modifiedPartitionNames.size() > 0) {
// Now reload the the remaining partitions.
msPartitions.addAll(
client.getPartitionsByNames(
db_.getName(), name_, Lists.newArrayList(modifiedPartitionNames)));
}
}
Map<String, FileDescriptor> oldFileDescMap = null;
if (cachedEntry != null && cachedEntry instanceof HdfsTable) {
oldFileDescMap = ((HdfsTable) cachedEntry).fileDescMap_;
}
loadPartitions(msPartitions, msTbl, oldFileDescMap);
// load table stats
numRows_ = getRowCount(msTbl.getParameters());
LOG.debug("table #rows=" + Long.toString(numRows_));
// For unpartitioned tables set the numRows in its partitions
// to the table's numRows.
if (numClusteringCols_ == 0 && !partitions_.isEmpty()) {
// Unpartitioned tables have a 'dummy' partition and a default partition.
// Temp tables used in CTAS statements have one partition.
Preconditions.checkState(partitions_.size() == 2 || partitions_.size() == 1);
for (HdfsPartition p : partitions_) {
p.setNumRows(numRows_);
}
}
// populate Avro schema if necessary
if (HdfsFileFormat.fromJavaClassName(inputFormat) == HdfsFileFormat.AVRO) {
// Look for the schema in TBLPROPERTIES and in SERDEPROPERTIES, with the latter
// taking precedence.
List<Map<String, String>> schemaSearchLocations = Lists.newArrayList();
schemaSearchLocations.add(getMetaStoreTable().getSd().getSerdeInfo().getParameters());
schemaSearchLocations.add(getMetaStoreTable().getParameters());
avroSchema_ = HdfsTable.getAvroSchema(schemaSearchLocations, getFullName(), true);
}
} catch (TableLoadingException e) {
throw e;
} catch (Exception e) {
throw new TableLoadingException("Failed to load metadata for table: " + name_, e);
}
}
/**
* Run a compactor job.
*
* @param conf Hive configuration file
* @param jobName name to run this job with
* @param t metastore table
* @param sd metastore storage descriptor
* @param txns list of valid transactions
* @param isMajor is this a major compaction?
* @throws java.io.IOException if the job fails
*/
void run(
HiveConf conf,
String jobName,
Table t,
StorageDescriptor sd,
ValidTxnList txns,
boolean isMajor,
Worker.StatsUpdater su)
throws IOException {
JobConf job = new JobConf(conf);
job.setJobName(jobName);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(NullWritable.class);
job.setJarByClass(CompactorMR.class);
LOG.debug("User jar set to " + job.getJar());
job.setMapperClass(CompactorMap.class);
job.setNumReduceTasks(0);
job.setInputFormat(CompactorInputFormat.class);
job.setOutputFormat(NullOutputFormat.class);
job.setOutputCommitter(CompactorOutputCommitter.class);
String queueName = conf.getVar(HiveConf.ConfVars.COMPACTOR_JOB_QUEUE);
if (queueName != null && queueName.length() > 0) {
job.setQueueName(queueName);
}
job.set(FINAL_LOCATION, sd.getLocation());
job.set(TMP_LOCATION, sd.getLocation() + "/" + TMPDIR + "_" + UUID.randomUUID().toString());
job.set(INPUT_FORMAT_CLASS_NAME, sd.getInputFormat());
job.set(OUTPUT_FORMAT_CLASS_NAME, sd.getOutputFormat());
job.setBoolean(IS_MAJOR, isMajor);
job.setBoolean(IS_COMPRESSED, sd.isCompressed());
job.set(TABLE_PROPS, new StringableMap(t.getParameters()).toString());
job.setInt(NUM_BUCKETS, sd.getNumBuckets());
job.set(ValidTxnList.VALID_TXNS_KEY, txns.toString());
setColumnTypes(job, sd.getCols());
// Figure out and encode what files we need to read. We do this here (rather than in
// getSplits below) because as part of this we discover our minimum and maximum transactions,
// and discovering that in getSplits is too late as we then have no way to pass it to our
// mapper.
AcidUtils.Directory dir = AcidUtils.getAcidState(new Path(sd.getLocation()), conf, txns, false);
StringableList dirsToSearch = new StringableList();
Path baseDir = null;
if (isMajor) {
// There may not be a base dir if the partition was empty before inserts or if this
// partition is just now being converted to ACID.
baseDir = dir.getBaseDirectory();
if (baseDir == null) {
List<HdfsFileStatusWithId> originalFiles = dir.getOriginalFiles();
if (!(originalFiles == null) && !(originalFiles.size() == 0)) {
// There are original format files
for (HdfsFileStatusWithId stat : originalFiles) {
Path path = stat.getFileStatus().getPath();
dirsToSearch.add(path);
LOG.debug("Adding original file " + path + " to dirs to search");
}
// Set base to the location so that the input format reads the original files.
baseDir = new Path(sd.getLocation());
}
} else {
// add our base to the list of directories to search for files in.
LOG.debug("Adding base directory " + baseDir + " to dirs to search");
dirsToSearch.add(baseDir);
}
}
List<AcidUtils.ParsedDelta> parsedDeltas = dir.getCurrentDirectories();
if (parsedDeltas == null || parsedDeltas.size() == 0) {
// Seriously, no deltas? Can't compact that.
LOG.error("No delta files found to compact in " + sd.getLocation());
return;
}
StringableList deltaDirs = new StringableList();
long minTxn = Long.MAX_VALUE;
long maxTxn = Long.MIN_VALUE;
for (AcidUtils.ParsedDelta delta : parsedDeltas) {
LOG.debug("Adding delta " + delta.getPath() + " to directories to search");
dirsToSearch.add(delta.getPath());
deltaDirs.add(delta.getPath());
minTxn = Math.min(minTxn, delta.getMinTransaction());
maxTxn = Math.max(maxTxn, delta.getMaxTransaction());
}
if (baseDir != null) job.set(BASE_DIR, baseDir.toString());
job.set(DELTA_DIRS, deltaDirs.toString());
job.set(DIRS_TO_SEARCH, dirsToSearch.toString());
job.setLong(MIN_TXN, minTxn);
job.setLong(MAX_TXN, maxTxn);
LOG.debug("Setting minimum transaction to " + minTxn);
LOG.debug("Setting maximume transaction to " + maxTxn);
RunningJob rj = JobClient.runJob(job);
LOG.info(
"Submitted "
+ (isMajor ? CompactionType.MAJOR : CompactionType.MINOR)
+ " compaction job '"
+ jobName
+ "' with jobID="
+ rj.getID()
+ " to "
+ job.getQueueName()
+ " queue. "
+ "(current delta dirs count="
+ dir.getCurrentDirectories().size()
+ ", obsolete delta dirs count="
+ dir.getObsolete());
rj.waitForCompletion();
su.gatherStats();
}
@Override
public final void createTable(final CatalogProtos.TableDescProto tableDescProto)
throws CatalogException {
HiveCatalogStoreClientPool.HiveCatalogStoreClient client = null;
TableDesc tableDesc = new TableDesc(tableDescProto);
String[] splitted = CatalogUtil.splitFQTableName(tableDesc.getName());
String databaseName = splitted[0];
String tableName = splitted[1];
try {
client = clientPool.getClient();
org.apache.hadoop.hive.metastore.api.Table table =
new org.apache.hadoop.hive.metastore.api.Table();
table.setDbName(databaseName);
table.setTableName(tableName);
table.setParameters(
new HashMap<String, String>(tableDesc.getMeta().getOptions().getAllKeyValus()));
// TODO: set owner
// table.setOwner();
StorageDescriptor sd = new StorageDescriptor();
sd.setSerdeInfo(new SerDeInfo());
sd.getSerdeInfo().setParameters(new HashMap<String, String>());
sd.getSerdeInfo().setName(table.getTableName());
// if tajo set location method, thrift client make exception as follows:
// Caused by: MetaException(message:java.lang.NullPointerException)
// If you want to modify table path, you have to modify on Hive cli.
if (tableDesc.isExternal()) {
table.setTableType(TableType.EXTERNAL_TABLE.name());
table.putToParameters("EXTERNAL", "TRUE");
Path tablePath = new Path(tableDesc.getUri());
FileSystem fs = tablePath.getFileSystem(conf);
if (fs.isFile(tablePath)) {
LOG.warn("A table path is a file, but HiveCatalogStore does not allow a file path.");
sd.setLocation(tablePath.getParent().toString());
} else {
sd.setLocation(tablePath.toString());
}
}
// set column information
List<Column> columns = tableDesc.getSchema().getRootColumns();
ArrayList<FieldSchema> cols = new ArrayList<FieldSchema>(columns.size());
for (Column eachField : columns) {
cols.add(
new FieldSchema(
eachField.getSimpleName(),
HiveCatalogUtil.getHiveFieldType(eachField.getDataType()),
""));
}
sd.setCols(cols);
// set partition keys
if (tableDesc.hasPartition()
&& tableDesc.getPartitionMethod().getPartitionType().equals(PartitionType.COLUMN)) {
List<FieldSchema> partitionKeys = new ArrayList<FieldSchema>();
for (Column eachPartitionKey :
tableDesc.getPartitionMethod().getExpressionSchema().getRootColumns()) {
partitionKeys.add(
new FieldSchema(
eachPartitionKey.getSimpleName(),
HiveCatalogUtil.getHiveFieldType(eachPartitionKey.getDataType()),
""));
}
table.setPartitionKeys(partitionKeys);
}
if (tableDesc.getMeta().getStoreType().equalsIgnoreCase(BuiltinStorages.RCFILE)) {
String serde = tableDesc.getMeta().getOption(StorageConstants.RCFILE_SERDE);
sd.setInputFormat(org.apache.hadoop.hive.ql.io.RCFileInputFormat.class.getName());
sd.setOutputFormat(org.apache.hadoop.hive.ql.io.RCFileOutputFormat.class.getName());
if (StorageConstants.DEFAULT_TEXT_SERDE.equals(serde)) {
sd.getSerdeInfo()
.setSerializationLib(
org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe.class.getName());
} else {
sd.getSerdeInfo()
.setSerializationLib(
org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe.class.getName());
}
if (tableDesc.getMeta().getOptions().containsKey(StorageConstants.RCFILE_NULL)) {
table.putToParameters(
serdeConstants.SERIALIZATION_NULL_FORMAT,
StringEscapeUtils.unescapeJava(
tableDesc.getMeta().getOption(StorageConstants.RCFILE_NULL)));
}
} else if (tableDesc.getMeta().getStoreType().equals(BuiltinStorages.TEXT)) {
sd.getSerdeInfo()
.setSerializationLib(
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.class.getName());
sd.setInputFormat(org.apache.hadoop.mapred.TextInputFormat.class.getName());
sd.setOutputFormat(
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat.class.getName());
String fieldDelimiter =
tableDesc
.getMeta()
.getOption(
StorageConstants.TEXT_DELIMITER, StorageConstants.DEFAULT_FIELD_DELIMITER);
// User can use an unicode for filed delimiter such as \u0001, \001.
// In this case, java console will convert this value into "\\u001".
// And hive will un-espace this value again.
// As a result, user can use right field delimiter.
// So, we have to un-escape this value.
sd.getSerdeInfo()
.putToParameters(
serdeConstants.SERIALIZATION_FORMAT,
StringEscapeUtils.unescapeJava(fieldDelimiter));
sd.getSerdeInfo()
.putToParameters(
serdeConstants.FIELD_DELIM, StringEscapeUtils.unescapeJava(fieldDelimiter));
table.getParameters().remove(StorageConstants.TEXT_DELIMITER);
if (tableDesc.getMeta().containsOption(StorageConstants.TEXT_NULL)) {
table.putToParameters(
serdeConstants.SERIALIZATION_NULL_FORMAT,
StringEscapeUtils.unescapeJava(
tableDesc.getMeta().getOption(StorageConstants.TEXT_NULL)));
table.getParameters().remove(StorageConstants.TEXT_NULL);
}
} else if (tableDesc
.getMeta()
.getStoreType()
.equalsIgnoreCase(BuiltinStorages.SEQUENCE_FILE)) {
String serde = tableDesc.getMeta().getOption(StorageConstants.SEQUENCEFILE_SERDE);
sd.setInputFormat(org.apache.hadoop.mapred.SequenceFileInputFormat.class.getName());
sd.setOutputFormat(
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat.class.getName());
if (StorageConstants.DEFAULT_TEXT_SERDE.equals(serde)) {
sd.getSerdeInfo()
.setSerializationLib(
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.class.getName());
String fieldDelimiter =
tableDesc
.getMeta()
.getOption(
StorageConstants.SEQUENCEFILE_DELIMITER,
StorageConstants.DEFAULT_FIELD_DELIMITER);
// User can use an unicode for filed delimiter such as \u0001, \001.
// In this case, java console will convert this value into "\\u001".
// And hive will un-espace this value again.
// As a result, user can use right field delimiter.
// So, we have to un-escape this value.
sd.getSerdeInfo()
.putToParameters(
serdeConstants.SERIALIZATION_FORMAT,
StringEscapeUtils.unescapeJava(fieldDelimiter));
sd.getSerdeInfo()
.putToParameters(
serdeConstants.FIELD_DELIM, StringEscapeUtils.unescapeJava(fieldDelimiter));
table.getParameters().remove(StorageConstants.SEQUENCEFILE_DELIMITER);
} else {
sd.getSerdeInfo()
.setSerializationLib(
org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe.class.getName());
}
if (tableDesc.getMeta().containsOption(StorageConstants.SEQUENCEFILE_NULL)) {
table.putToParameters(
serdeConstants.SERIALIZATION_NULL_FORMAT,
StringEscapeUtils.unescapeJava(
tableDesc.getMeta().getOption(StorageConstants.SEQUENCEFILE_NULL)));
table.getParameters().remove(StorageConstants.SEQUENCEFILE_NULL);
}
} else {
if (tableDesc.getMeta().getStoreType().equalsIgnoreCase(BuiltinStorages.PARQUET)) {
sd.setInputFormat(parquet.hive.DeprecatedParquetInputFormat.class.getName());
sd.setOutputFormat(parquet.hive.DeprecatedParquetOutputFormat.class.getName());
sd.getSerdeInfo()
.setSerializationLib(parquet.hive.serde.ParquetHiveSerDe.class.getName());
} else {
throw new UnsupportedException(
tableDesc.getMeta().getStoreType() + " in HivecatalogStore");
}
}
sd.setSortCols(new ArrayList<Order>());
table.setSd(sd);
client.getHiveClient().createTable(table);
} catch (Throwable t) {
throw new TajoInternalError(t);
} finally {
if (client != null) client.release();
}
}
