use of org.apache.hadoop.hive.ql.metadata.UniqueConstraint in project hive by apache.
the class RelOptHiveTable method generateKeys.
private List<ImmutableBitSet> generateKeys() {
ImmutableList.Builder<ImmutableBitSet> builder = ImmutableList.builder();
// First PK
final PrimaryKeyInfo pki;
try {
pki = Hive.get().getReliablePrimaryKeys(hiveTblMetadata.getDbName(), hiveTblMetadata.getTableName());
} catch (HiveException e) {
throw new RuntimeException(e);
}
if (!pki.getColNames().isEmpty()) {
ImmutableBitSet.Builder keys = ImmutableBitSet.builder();
for (String pkColName : pki.getColNames().values()) {
int pkPos;
for (pkPos = 0; pkPos < rowType.getFieldNames().size(); pkPos++) {
String colName = rowType.getFieldNames().get(pkPos);
if (pkColName.equals(colName)) {
break;
}
}
if (pkPos == rowType.getFieldNames().size()) {
LOG.error("Column for primary key definition " + pkColName + " not found");
return ImmutableList.of();
}
keys.set(pkPos);
}
builder.add(keys.build());
}
// Then UKs
final UniqueConstraint uki;
try {
uki = Hive.get().getReliableUniqueConstraints(hiveTblMetadata.getDbName(), hiveTblMetadata.getTableName());
} catch (HiveException e) {
throw new RuntimeException(e);
}
for (List<UniqueConstraintCol> ukCols : uki.getUniqueConstraints().values()) {
ImmutableBitSet.Builder keys = ImmutableBitSet.builder();
for (UniqueConstraintCol ukCol : ukCols) {
int ukPos;
for (ukPos = 0; ukPos < rowType.getFieldNames().size(); ukPos++) {
String colName = rowType.getFieldNames().get(ukPos);
if (ukCol.colName.equals(colName)) {
break;
}
}
if (ukPos == rowType.getFieldNames().size()) {
LOG.error("Column for unique constraint definition " + ukCol.colName + " not found");
return ImmutableList.of();
}
keys.set(ukPos);
}
builder.add(keys.build());
}
return builder.build();
}
use of org.apache.hadoop.hive.ql.metadata.UniqueConstraint in project hive by apache.
the class DDLTask method describeTable.
/**
* Write the description of a table to a file.
*
* @param db
* The database in question.
* @param descTbl
* This is the table we're interested in.
* @return Returns 0 when execution succeeds and above 0 if it fails.
* @throws HiveException
* Throws this exception if an unexpected error occurs.
* @throws MetaException
*/
private int describeTable(Hive db, DescTableDesc descTbl) throws HiveException, MetaException {
String colPath = descTbl.getColumnPath();
String tableName = descTbl.getTableName();
// describe the table - populate the output stream
Table tbl = db.getTable(tableName, false);
if (tbl == null) {
throw new HiveException(ErrorMsg.INVALID_TABLE, tableName);
}
Partition part = null;
if (descTbl.getPartSpec() != null) {
part = db.getPartition(tbl, descTbl.getPartSpec(), false);
if (part == null) {
throw new HiveException(ErrorMsg.INVALID_PARTITION, StringUtils.join(descTbl.getPartSpec().keySet(), ','), tableName);
}
tbl = part.getTable();
}
DataOutputStream outStream = getOutputStream(descTbl.getResFile());
try {
LOG.debug("DDLTask: got data for {}", tableName);
List<FieldSchema> cols = null;
List<ColumnStatisticsObj> colStats = null;
Deserializer deserializer = tbl.getDeserializer(true);
if (deserializer instanceof AbstractSerDe) {
String errorMsgs = ((AbstractSerDe) deserializer).getConfigurationErrors();
if (errorMsgs != null && !errorMsgs.isEmpty()) {
throw new SQLException(errorMsgs);
}
}
if (colPath.equals(tableName)) {
cols = (part == null || tbl.getTableType() == TableType.VIRTUAL_VIEW) ? tbl.getCols() : part.getCols();
if (!descTbl.isFormatted()) {
cols.addAll(tbl.getPartCols());
}
if (tbl.isPartitioned() && part == null) {
// No partitioned specified for partitioned table, lets fetch all.
Map<String, String> tblProps = tbl.getParameters() == null ? new HashMap<String, String>() : tbl.getParameters();
Map<String, Long> valueMap = new HashMap<>();
Map<String, Boolean> stateMap = new HashMap<>();
for (String stat : StatsSetupConst.supportedStats) {
valueMap.put(stat, 0L);
stateMap.put(stat, true);
}
PartitionIterable parts = new PartitionIterable(db, tbl, null, conf.getIntVar(HiveConf.ConfVars.METASTORE_BATCH_RETRIEVE_MAX));
int numParts = 0;
for (Partition partition : parts) {
Map<String, String> props = partition.getParameters();
Boolean state = StatsSetupConst.areBasicStatsUptoDate(props);
for (String stat : StatsSetupConst.supportedStats) {
stateMap.put(stat, stateMap.get(stat) && state);
if (props != null && props.get(stat) != null) {
valueMap.put(stat, valueMap.get(stat) + Long.parseLong(props.get(stat)));
}
}
numParts++;
}
for (String stat : StatsSetupConst.supportedStats) {
StatsSetupConst.setBasicStatsState(tblProps, Boolean.toString(stateMap.get(stat)));
tblProps.put(stat, valueMap.get(stat).toString());
}
tblProps.put(StatsSetupConst.NUM_PARTITIONS, Integer.toString(numParts));
tbl.setParameters(tblProps);
}
} else {
if (descTbl.isFormatted()) {
// when column name is specified in describe table DDL, colPath will
// will be table_name.column_name
String colName = colPath.split("\\.")[1];
String[] dbTab = Utilities.getDbTableName(tableName);
List<String> colNames = new ArrayList<String>();
colNames.add(colName.toLowerCase());
if (null == part) {
if (tbl.isPartitioned()) {
Map<String, String> tblProps = tbl.getParameters() == null ? new HashMap<String, String>() : tbl.getParameters();
if (tbl.isPartitionKey(colNames.get(0))) {
FieldSchema partCol = tbl.getPartColByName(colNames.get(0));
cols = Collections.singletonList(partCol);
PartitionIterable parts = new PartitionIterable(db, tbl, null, conf.getIntVar(HiveConf.ConfVars.METASTORE_BATCH_RETRIEVE_MAX));
ColumnInfo ci = new ColumnInfo(partCol.getName(), TypeInfoUtils.getTypeInfoFromTypeString(partCol.getType()), null, false);
ColStatistics cs = StatsUtils.getColStatsForPartCol(ci, parts, conf);
ColumnStatisticsData data = new ColumnStatisticsData();
ColStatistics.Range r = cs.getRange();
StatObjectConverter.fillColumnStatisticsData(partCol.getType(), data, r == null ? null : r.minValue, r == null ? null : r.maxValue, r == null ? null : r.minValue, r == null ? null : r.maxValue, r == null ? null : r.minValue.toString(), r == null ? null : r.maxValue.toString(), cs.getNumNulls(), cs.getCountDistint(), null, cs.getAvgColLen(), cs.getAvgColLen(), cs.getNumTrues(), cs.getNumFalses());
ColumnStatisticsObj cso = new ColumnStatisticsObj(partCol.getName(), partCol.getType(), data);
colStats = Collections.singletonList(cso);
StatsSetupConst.setColumnStatsState(tblProps, colNames);
} else {
cols = Hive.getFieldsFromDeserializer(colPath, deserializer);
List<String> parts = db.getPartitionNames(dbTab[0].toLowerCase(), dbTab[1].toLowerCase(), (short) -1);
AggrStats aggrStats = db.getAggrColStatsFor(dbTab[0].toLowerCase(), dbTab[1].toLowerCase(), colNames, parts);
colStats = aggrStats.getColStats();
if (parts.size() == aggrStats.getPartsFound()) {
StatsSetupConst.setColumnStatsState(tblProps, colNames);
} else {
StatsSetupConst.removeColumnStatsState(tblProps, colNames);
}
}
tbl.setParameters(tblProps);
} else {
cols = Hive.getFieldsFromDeserializer(colPath, deserializer);
colStats = db.getTableColumnStatistics(dbTab[0].toLowerCase(), dbTab[1].toLowerCase(), colNames);
}
} else {
List<String> partitions = new ArrayList<String>();
partitions.add(part.getName());
cols = Hive.getFieldsFromDeserializer(colPath, deserializer);
colStats = db.getPartitionColumnStatistics(dbTab[0].toLowerCase(), dbTab[1].toLowerCase(), partitions, colNames).get(part.getName());
}
} else {
cols = Hive.getFieldsFromDeserializer(colPath, deserializer);
}
}
PrimaryKeyInfo pkInfo = null;
ForeignKeyInfo fkInfo = null;
UniqueConstraint ukInfo = null;
NotNullConstraint nnInfo = null;
DefaultConstraint dInfo = null;
CheckConstraint cInfo = null;
if (descTbl.isExt() || descTbl.isFormatted()) {
pkInfo = db.getPrimaryKeys(tbl.getDbName(), tbl.getTableName());
fkInfo = db.getForeignKeys(tbl.getDbName(), tbl.getTableName());
ukInfo = db.getUniqueConstraints(tbl.getDbName(), tbl.getTableName());
nnInfo = db.getNotNullConstraints(tbl.getDbName(), tbl.getTableName());
dInfo = db.getDefaultConstraints(tbl.getDbName(), tbl.getTableName());
cInfo = db.getCheckConstraints(tbl.getDbName(), tbl.getTableName());
}
fixDecimalColumnTypeName(cols);
// In case the query is served by HiveServer2, don't pad it with spaces,
// as HiveServer2 output is consumed by JDBC/ODBC clients.
boolean isOutputPadded = !SessionState.get().isHiveServerQuery();
formatter.describeTable(outStream, colPath, tableName, tbl, part, cols, descTbl.isFormatted(), descTbl.isExt(), isOutputPadded, colStats, pkInfo, fkInfo, ukInfo, nnInfo, dInfo, cInfo);
LOG.debug("DDLTask: written data for {}", tableName);
} catch (SQLException e) {
throw new HiveException(e, ErrorMsg.GENERIC_ERROR, tableName);
} finally {
IOUtils.closeStream(outStream);
}
return 0;
}
Aggregations