use of org.apache.hadoop.hive.ql.parse.SemanticAnalyzer in project hive by apache.
the class QTestUtil method init.
public void init() throws Exception {
// Create remote dirs once.
if (mr != null) {
createRemoteDirs();
}
testWarehouse = conf.getVar(HiveConf.ConfVars.METASTOREWAREHOUSE);
String execEngine = conf.get("hive.execution.engine");
conf.set("hive.execution.engine", "mr");
SessionState.start(conf);
conf.set("hive.execution.engine", execEngine);
db = Hive.get(conf);
drv = new Driver(conf);
drv.init();
pd = new ParseDriver();
sem = new SemanticAnalyzer(queryState);
}
use of org.apache.hadoop.hive.ql.parse.SemanticAnalyzer in project hive by apache.
the class RewriteParseContextGenerator method generateOperatorTree.
/**
* Parse the input {@link String} command and generate an operator tree.
* @param conf
* @param command
* @throws SemanticException
*/
public static Operator<? extends OperatorDesc> generateOperatorTree(QueryState queryState, String command) throws SemanticException {
Operator<? extends OperatorDesc> operatorTree;
try {
Context ctx = new Context(queryState.getConf());
ASTNode tree = ParseUtils.parse(command, ctx);
BaseSemanticAnalyzer sem = SemanticAnalyzerFactory.get(queryState, tree);
assert (sem instanceof SemanticAnalyzer);
operatorTree = doSemanticAnalysis((SemanticAnalyzer) sem, tree, ctx);
LOG.info("Sub-query Semantic Analysis Completed");
} catch (IOException e) {
LOG.error("IOException in generating the operator " + "tree for input command - " + command + " ", e);
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
} catch (ParseException e) {
LOG.error("ParseException in generating the operator " + "tree for input command - " + command + " ", e);
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
} catch (SemanticException e) {
LOG.error("SemanticException in generating the operator " + "tree for input command - " + command + " ", e);
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
return operatorTree;
}
use of org.apache.hadoop.hive.ql.parse.SemanticAnalyzer in project hive by apache.
the class Driver method doAuthorization.
/**
* Do authorization using post semantic analysis information in the semantic analyzer
* The original command is also passed so that authorization interface can provide
* more useful information in logs.
* @param sem SemanticAnalyzer used to parse input query
* @param command input query
* @throws HiveException
* @throws AuthorizationException
*/
public static void doAuthorization(HiveOperation op, BaseSemanticAnalyzer sem, String command) throws HiveException, AuthorizationException {
SessionState ss = SessionState.get();
Hive db = sem.getDb();
Set<ReadEntity> additionalInputs = new HashSet<ReadEntity>();
for (Entity e : sem.getInputs()) {
if (e.getType() == Entity.Type.PARTITION) {
additionalInputs.add(new ReadEntity(e.getTable()));
}
}
Set<WriteEntity> additionalOutputs = new HashSet<WriteEntity>();
for (WriteEntity e : sem.getOutputs()) {
if (e.getType() == Entity.Type.PARTITION) {
additionalOutputs.add(new WriteEntity(e.getTable(), e.getWriteType()));
}
}
// The following union operation returns a union, which traverses over the
// first set once and then then over each element of second set, in order,
// that is not contained in first. This means it doesn't replace anything
// in first set, and would preserve the WriteType in WriteEntity in first
// set in case of outputs list.
Set<ReadEntity> inputs = Sets.union(sem.getInputs(), additionalInputs);
Set<WriteEntity> outputs = Sets.union(sem.getOutputs(), additionalOutputs);
if (ss.isAuthorizationModeV2()) {
// get mapping of tables to columns used
ColumnAccessInfo colAccessInfo = sem.getColumnAccessInfo();
// colAccessInfo is set only in case of SemanticAnalyzer
Map<String, List<String>> selectTab2Cols = colAccessInfo != null ? colAccessInfo.getTableToColumnAccessMap() : null;
Map<String, List<String>> updateTab2Cols = sem.getUpdateColumnAccessInfo() != null ? sem.getUpdateColumnAccessInfo().getTableToColumnAccessMap() : null;
doAuthorizationV2(ss, op, inputs, outputs, command, selectTab2Cols, updateTab2Cols);
return;
}
if (op == null) {
throw new HiveException("Operation should not be null");
}
HiveAuthorizationProvider authorizer = ss.getAuthorizer();
if (op.equals(HiveOperation.CREATEDATABASE)) {
authorizer.authorize(op.getInputRequiredPrivileges(), op.getOutputRequiredPrivileges());
} else if (op.equals(HiveOperation.CREATETABLE_AS_SELECT) || op.equals(HiveOperation.CREATETABLE)) {
authorizer.authorize(db.getDatabase(SessionState.get().getCurrentDatabase()), null, HiveOperation.CREATETABLE_AS_SELECT.getOutputRequiredPrivileges());
} else {
if (op.equals(HiveOperation.IMPORT)) {
ImportSemanticAnalyzer isa = (ImportSemanticAnalyzer) sem;
if (!isa.existsTable()) {
authorizer.authorize(db.getDatabase(SessionState.get().getCurrentDatabase()), null, HiveOperation.CREATETABLE_AS_SELECT.getOutputRequiredPrivileges());
}
}
}
if (outputs != null && outputs.size() > 0) {
for (WriteEntity write : outputs) {
if (write.isDummy() || write.isPathType()) {
continue;
}
if (write.getType() == Entity.Type.DATABASE) {
if (!op.equals(HiveOperation.IMPORT)) {
// We skip DB check for import here because we already handle it above
// as a CTAS check.
authorizer.authorize(write.getDatabase(), null, op.getOutputRequiredPrivileges());
}
continue;
}
if (write.getType() == WriteEntity.Type.PARTITION) {
Partition part = db.getPartition(write.getTable(), write.getPartition().getSpec(), false);
if (part != null) {
authorizer.authorize(write.getPartition(), null, op.getOutputRequiredPrivileges());
continue;
}
}
if (write.getTable() != null) {
authorizer.authorize(write.getTable(), null, op.getOutputRequiredPrivileges());
}
}
}
if (inputs != null && inputs.size() > 0) {
Map<Table, List<String>> tab2Cols = new HashMap<Table, List<String>>();
Map<Partition, List<String>> part2Cols = new HashMap<Partition, List<String>>();
//determine if partition level privileges should be checked for input tables
Map<String, Boolean> tableUsePartLevelAuth = new HashMap<String, Boolean>();
for (ReadEntity read : inputs) {
if (read.isDummy() || read.isPathType() || read.getType() == Entity.Type.DATABASE) {
continue;
}
Table tbl = read.getTable();
if ((read.getPartition() != null) || (tbl != null && tbl.isPartitioned())) {
String tblName = tbl.getTableName();
if (tableUsePartLevelAuth.get(tblName) == null) {
boolean usePartLevelPriv = (tbl.getParameters().get("PARTITION_LEVEL_PRIVILEGE") != null && ("TRUE".equalsIgnoreCase(tbl.getParameters().get("PARTITION_LEVEL_PRIVILEGE"))));
if (usePartLevelPriv) {
tableUsePartLevelAuth.put(tblName, Boolean.TRUE);
} else {
tableUsePartLevelAuth.put(tblName, Boolean.FALSE);
}
}
}
}
// column authorization is checked through table scan operators.
getTablePartitionUsedColumns(op, sem, tab2Cols, part2Cols, tableUsePartLevelAuth);
// cache the results for table authorization
Set<String> tableAuthChecked = new HashSet<String>();
for (ReadEntity read : inputs) {
// if read is not direct, we do not need to check its autho.
if (read.isDummy() || read.isPathType() || !read.isDirect()) {
continue;
}
if (read.getType() == Entity.Type.DATABASE) {
authorizer.authorize(read.getDatabase(), op.getInputRequiredPrivileges(), null);
continue;
}
Table tbl = read.getTable();
if (tbl.isView() && sem instanceof SemanticAnalyzer) {
tab2Cols.put(tbl, sem.getColumnAccessInfo().getTableToColumnAccessMap().get(tbl.getCompleteName()));
}
if (read.getPartition() != null) {
Partition partition = read.getPartition();
tbl = partition.getTable();
// use partition level authorization
if (Boolean.TRUE.equals(tableUsePartLevelAuth.get(tbl.getTableName()))) {
List<String> cols = part2Cols.get(partition);
if (cols != null && cols.size() > 0) {
authorizer.authorize(partition.getTable(), partition, cols, op.getInputRequiredPrivileges(), null);
} else {
authorizer.authorize(partition, op.getInputRequiredPrivileges(), null);
}
continue;
}
}
// partitions
if (tbl != null && !tableAuthChecked.contains(tbl.getTableName()) && !(Boolean.TRUE.equals(tableUsePartLevelAuth.get(tbl.getTableName())))) {
List<String> cols = tab2Cols.get(tbl);
if (cols != null && cols.size() > 0) {
authorizer.authorize(tbl, null, cols, op.getInputRequiredPrivileges(), null);
} else {
authorizer.authorize(tbl, op.getInputRequiredPrivileges(), null);
}
tableAuthChecked.add(tbl.getTableName());
}
}
}
}
use of org.apache.hadoop.hive.ql.parse.SemanticAnalyzer in project hive by apache.
the class Driver method getTablePartitionUsedColumns.
private static void getTablePartitionUsedColumns(HiveOperation op, BaseSemanticAnalyzer sem, Map<Table, List<String>> tab2Cols, Map<Partition, List<String>> part2Cols, Map<String, Boolean> tableUsePartLevelAuth) throws HiveException {
// table to columns mapping (tab2Cols)
if (op.equals(HiveOperation.CREATETABLE_AS_SELECT) || op.equals(HiveOperation.QUERY)) {
SemanticAnalyzer querySem = (SemanticAnalyzer) sem;
ParseContext parseCtx = querySem.getParseContext();
for (Map.Entry<String, TableScanOperator> topOpMap : querySem.getParseContext().getTopOps().entrySet()) {
TableScanOperator tableScanOp = topOpMap.getValue();
if (!tableScanOp.isInsideView()) {
Table tbl = tableScanOp.getConf().getTableMetadata();
List<Integer> neededColumnIds = tableScanOp.getNeededColumnIDs();
List<FieldSchema> columns = tbl.getCols();
List<String> cols = new ArrayList<String>();
for (int i = 0; i < neededColumnIds.size(); i++) {
cols.add(columns.get(neededColumnIds.get(i)).getName());
}
// table permission
if (tbl.isPartitioned() && Boolean.TRUE.equals(tableUsePartLevelAuth.get(tbl.getTableName()))) {
String alias_id = topOpMap.getKey();
PrunedPartitionList partsList = PartitionPruner.prune(tableScanOp, parseCtx, alias_id);
Set<Partition> parts = partsList.getPartitions();
for (Partition part : parts) {
List<String> existingCols = part2Cols.get(part);
if (existingCols == null) {
existingCols = new ArrayList<String>();
}
existingCols.addAll(cols);
part2Cols.put(part, existingCols);
}
} else {
List<String> existingCols = tab2Cols.get(tbl);
if (existingCols == null) {
existingCols = new ArrayList<String>();
}
existingCols.addAll(cols);
tab2Cols.put(tbl, existingCols);
}
}
}
}
}
use of org.apache.hadoop.hive.ql.parse.SemanticAnalyzer in project phoenix by apache.
the class HiveTestUtil method init.
public void init() throws Exception {
testWarehouse = conf.getVar(HiveConf.ConfVars.METASTOREWAREHOUSE);
conf.setBoolVar(HiveConf.ConfVars.SUBMITLOCALTASKVIACHILD, false);
String execEngine = conf.get("hive.execution.engine");
conf.set("hive.execution.engine", "mr");
SessionState.start(conf);
conf.set("hive.execution.engine", execEngine);
db = Hive.get(conf);
pd = new ParseDriver();
sem = new SemanticAnalyzer(conf);
}
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