use of org.apache.hadoop.hive.ql.plan.LoadFileDesc in project hive by apache.
the class TaskCompiler method compile.
@SuppressWarnings({ "nls", "unchecked" })
public void compile(final ParseContext pCtx, final List<Task<? extends Serializable>> rootTasks, final HashSet<ReadEntity> inputs, final HashSet<WriteEntity> outputs) throws SemanticException {
Context ctx = pCtx.getContext();
GlobalLimitCtx globalLimitCtx = pCtx.getGlobalLimitCtx();
List<Task<MoveWork>> mvTask = new ArrayList<Task<MoveWork>>();
List<LoadTableDesc> loadTableWork = pCtx.getLoadTableWork();
List<LoadFileDesc> loadFileWork = pCtx.getLoadFileWork();
boolean isCStats = pCtx.getQueryProperties().isAnalyzeRewrite();
int outerQueryLimit = pCtx.getQueryProperties().getOuterQueryLimit();
if (pCtx.getFetchTask() != null) {
if (pCtx.getFetchTask().getTblDesc() == null) {
return;
}
pCtx.getFetchTask().getWork().setHiveServerQuery(SessionState.get().isHiveServerQuery());
TableDesc resultTab = pCtx.getFetchTask().getTblDesc();
// then either the ThriftFormatter or the DefaultFetchFormatter should be used.
if (!resultTab.getSerdeClassName().equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName())) {
if (SessionState.get().isHiveServerQuery()) {
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, ThriftFormatter.class.getName());
} else {
String formatterName = conf.get(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER);
if (formatterName == null || formatterName.isEmpty()) {
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, DefaultFetchFormatter.class.getName());
}
}
}
return;
}
optimizeOperatorPlan(pCtx, inputs, outputs);
/*
* In case of a select, use a fetch task instead of a move task.
* If the select is from analyze table column rewrite, don't create a fetch task. Instead create
* a column stats task later.
*/
if (pCtx.getQueryProperties().isQuery() && !isCStats) {
if ((!loadTableWork.isEmpty()) || (loadFileWork.size() != 1)) {
throw new SemanticException(ErrorMsg.INVALID_LOAD_TABLE_FILE_WORK.getMsg());
}
LoadFileDesc loadFileDesc = loadFileWork.get(0);
String cols = loadFileDesc.getColumns();
String colTypes = loadFileDesc.getColumnTypes();
String resFileFormat;
TableDesc resultTab = pCtx.getFetchTableDesc();
if (resultTab == null) {
resFileFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT);
if (SessionState.get().getIsUsingThriftJDBCBinarySerDe() && (resFileFormat.equalsIgnoreCase("SequenceFile"))) {
resultTab = PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat, ThriftJDBCBinarySerDe.class);
// Set the fetch formatter to be a no-op for the ListSinkOperator, since we'll
// read formatted thrift objects from the output SequenceFile written by Tasks.
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, NoOpFetchFormatter.class.getName());
} else {
resultTab = PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat, LazySimpleSerDe.class);
}
} else {
if (resultTab.getProperties().getProperty(serdeConstants.SERIALIZATION_LIB).equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName())) {
// Set the fetch formatter to be a no-op for the ListSinkOperator, since we'll
// read formatted thrift objects from the output SequenceFile written by Tasks.
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, NoOpFetchFormatter.class.getName());
}
}
FetchWork fetch = new FetchWork(loadFileDesc.getSourcePath(), resultTab, outerQueryLimit);
boolean isHiveServerQuery = SessionState.get().isHiveServerQuery();
fetch.setHiveServerQuery(isHiveServerQuery);
fetch.setSource(pCtx.getFetchSource());
fetch.setSink(pCtx.getFetchSink());
if (isHiveServerQuery && null != resultTab && resultTab.getSerdeClassName().equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName()) && HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_SERVER2_THRIFT_RESULTSET_SERIALIZE_IN_TASKS)) {
fetch.setIsUsingThriftJDBCBinarySerDe(true);
} else {
fetch.setIsUsingThriftJDBCBinarySerDe(false);
}
pCtx.setFetchTask((FetchTask) TaskFactory.get(fetch, conf));
// For the FetchTask, the limit optimization requires we fetch all the rows
// in memory and count how many rows we get. It's not practical if the
// limit factor is too big
int fetchLimit = HiveConf.getIntVar(conf, HiveConf.ConfVars.HIVELIMITOPTMAXFETCH);
if (globalLimitCtx.isEnable() && globalLimitCtx.getGlobalLimit() > fetchLimit) {
LOG.info("For FetchTask, LIMIT " + globalLimitCtx.getGlobalLimit() + " > " + fetchLimit + ". Doesn't qualify limit optimization.");
globalLimitCtx.disableOpt();
}
if (outerQueryLimit == 0) {
// Believe it or not, some tools do generate queries with limit 0 and than expect
// query to run quickly. Lets meet their requirement.
LOG.info("Limit 0. No query execution needed.");
return;
}
} else if (!isCStats) {
for (LoadTableDesc ltd : loadTableWork) {
Task<MoveWork> tsk = TaskFactory.get(new MoveWork(null, null, ltd, null, false), conf);
mvTask.add(tsk);
// Check to see if we are stale'ing any indexes and auto-update them if we want
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVEINDEXAUTOUPDATE)) {
IndexUpdater indexUpdater = new IndexUpdater(loadTableWork, inputs, conf);
try {
List<Task<? extends Serializable>> indexUpdateTasks = indexUpdater.generateUpdateTasks();
for (Task<? extends Serializable> updateTask : indexUpdateTasks) {
tsk.addDependentTask(updateTask);
}
} catch (HiveException e) {
console.printInfo("WARNING: could not auto-update stale indexes, which are not in sync");
}
}
}
boolean oneLoadFile = true;
for (LoadFileDesc lfd : loadFileWork) {
if (pCtx.getQueryProperties().isCTAS() || pCtx.getQueryProperties().isMaterializedView()) {
// should not have more than 1 load file for
assert (oneLoadFile);
// CTAS
// make the movetask's destination directory the table's destination.
Path location;
String loc = pCtx.getQueryProperties().isCTAS() ? pCtx.getCreateTable().getLocation() : pCtx.getCreateViewDesc().getLocation();
if (loc == null) {
// get the default location
Path targetPath;
try {
String protoName = null;
if (pCtx.getQueryProperties().isCTAS()) {
protoName = pCtx.getCreateTable().getTableName();
} else if (pCtx.getQueryProperties().isMaterializedView()) {
protoName = pCtx.getCreateViewDesc().getViewName();
}
String[] names = Utilities.getDbTableName(protoName);
if (!db.databaseExists(names[0])) {
throw new SemanticException("ERROR: The database " + names[0] + " does not exist.");
}
Warehouse wh = new Warehouse(conf);
targetPath = wh.getTablePath(db.getDatabase(names[0]), names[1]);
} catch (HiveException e) {
throw new SemanticException(e);
} catch (MetaException e) {
throw new SemanticException(e);
}
location = targetPath;
} else {
location = new Path(loc);
}
lfd.setTargetDir(location);
oneLoadFile = false;
}
mvTask.add(TaskFactory.get(new MoveWork(null, null, null, lfd, false), conf));
}
}
generateTaskTree(rootTasks, pCtx, mvTask, inputs, outputs);
// For each task, set the key descriptor for the reducer
for (Task<? extends Serializable> rootTask : rootTasks) {
GenMapRedUtils.setKeyAndValueDescForTaskTree(rootTask);
}
// to be used, please do so
for (Task<? extends Serializable> rootTask : rootTasks) {
setInputFormat(rootTask);
}
optimizeTaskPlan(rootTasks, pCtx, ctx);
/*
* If the query was the result of analyze table column compute statistics rewrite, create
* a column stats task instead of a fetch task to persist stats to the metastore.
*/
if (isCStats || !pCtx.getColumnStatsAutoGatherContexts().isEmpty()) {
Set<Task<? extends Serializable>> leafTasks = new LinkedHashSet<Task<? extends Serializable>>();
getLeafTasks(rootTasks, leafTasks);
if (isCStats) {
genColumnStatsTask(pCtx.getAnalyzeRewrite(), loadFileWork, leafTasks, outerQueryLimit, 0);
} else {
for (ColumnStatsAutoGatherContext columnStatsAutoGatherContext : pCtx.getColumnStatsAutoGatherContexts()) {
if (!columnStatsAutoGatherContext.isInsertInto()) {
genColumnStatsTask(columnStatsAutoGatherContext.getAnalyzeRewrite(), columnStatsAutoGatherContext.getLoadFileWork(), leafTasks, outerQueryLimit, 0);
} else {
int numBitVector;
try {
numBitVector = HiveStatsUtils.getNumBitVectorsForNDVEstimation(conf);
} catch (Exception e) {
throw new SemanticException(e.getMessage());
}
genColumnStatsTask(columnStatsAutoGatherContext.getAnalyzeRewrite(), columnStatsAutoGatherContext.getLoadFileWork(), leafTasks, outerQueryLimit, numBitVector);
}
}
}
}
decideExecMode(rootTasks, ctx, globalLimitCtx);
if (pCtx.getQueryProperties().isCTAS() && !pCtx.getCreateTable().isMaterialization()) {
// generate a DDL task and make it a dependent task of the leaf
CreateTableDesc crtTblDesc = pCtx.getCreateTable();
crtTblDesc.validate(conf);
Task<? extends Serializable> crtTblTask = TaskFactory.get(new DDLWork(inputs, outputs, crtTblDesc), conf);
patchUpAfterCTASorMaterializedView(rootTasks, outputs, crtTblTask);
} else if (pCtx.getQueryProperties().isMaterializedView()) {
// generate a DDL task and make it a dependent task of the leaf
CreateViewDesc viewDesc = pCtx.getCreateViewDesc();
Task<? extends Serializable> crtViewTask = TaskFactory.get(new DDLWork(inputs, outputs, viewDesc), conf);
patchUpAfterCTASorMaterializedView(rootTasks, outputs, crtViewTask);
}
if (globalLimitCtx.isEnable() && pCtx.getFetchTask() != null) {
LOG.info("set least row check for FetchTask: " + globalLimitCtx.getGlobalLimit());
pCtx.getFetchTask().getWork().setLeastNumRows(globalLimitCtx.getGlobalLimit());
}
if (globalLimitCtx.isEnable() && globalLimitCtx.getLastReduceLimitDesc() != null) {
LOG.info("set least row check for LimitDesc: " + globalLimitCtx.getGlobalLimit());
globalLimitCtx.getLastReduceLimitDesc().setLeastRows(globalLimitCtx.getGlobalLimit());
List<ExecDriver> mrTasks = Utilities.getMRTasks(rootTasks);
for (ExecDriver tsk : mrTasks) {
tsk.setRetryCmdWhenFail(true);
}
List<SparkTask> sparkTasks = Utilities.getSparkTasks(rootTasks);
for (SparkTask sparkTask : sparkTasks) {
sparkTask.setRetryCmdWhenFail(true);
}
}
Interner<TableDesc> interner = Interners.newStrongInterner();
for (Task<? extends Serializable> rootTask : rootTasks) {
GenMapRedUtils.internTableDesc(rootTask, interner);
GenMapRedUtils.deriveFinalExplainAttributes(rootTask, pCtx.getConf());
}
}
use of org.apache.hadoop.hive.ql.plan.LoadFileDesc in project hive by apache.
the class MoveTask method isLocal.
/*
* Does the move task involve moving to a local file system
*/
public boolean isLocal() {
LoadTableDesc tbd = work.getLoadTableWork();
if (tbd != null) {
return false;
}
LoadFileDesc lfd = work.getLoadFileWork();
if (lfd != null) {
if (lfd.getIsDfsDir()) {
return false;
} else {
return true;
}
}
return false;
}
use of org.apache.hadoop.hive.ql.plan.LoadFileDesc in project hive by apache.
the class GenMapRedUtils method createMRWorkForMergingFiles.
/**
* @param fsInput The FileSink operator.
* @param ctx The MR processing context.
* @param finalName the final destination path the merge job should output.
* @param dependencyTask
* @param mvTasks
* @param conf
* @param currTask
* @throws SemanticException
* create a Map-only merge job using CombineHiveInputFormat for all partitions with
* following operators:
* MR job J0:
* ...
* |
* v
* FileSinkOperator_1 (fsInput)
* |
* v
* Merge job J1:
* |
* v
* TableScan (using CombineHiveInputFormat) (tsMerge)
* |
* v
* FileSinkOperator (fsMerge)
*
* Here the pathToPartitionInfo & pathToAlias will remain the same, which means the paths
* do
* not contain the dynamic partitions (their parent). So after the dynamic partitions are
* created (after the first job finished before the moveTask or ConditionalTask start),
* we need to change the pathToPartitionInfo & pathToAlias to include the dynamic
* partition
* directories.
*
*/
public static void createMRWorkForMergingFiles(FileSinkOperator fsInput, Path finalName, DependencyCollectionTask dependencyTask, List<Task<MoveWork>> mvTasks, HiveConf conf, Task<? extends Serializable> currTask) throws SemanticException {
//
// 1. create the operator tree
//
FileSinkDesc fsInputDesc = fsInput.getConf();
// Create a TableScan operator
RowSchema inputRS = fsInput.getSchema();
TableScanOperator tsMerge = GenMapRedUtils.createTemporaryTableScanOperator(fsInput.getCompilationOpContext(), inputRS);
// Create a FileSink operator
TableDesc ts = (TableDesc) fsInputDesc.getTableInfo().clone();
FileSinkDesc fsOutputDesc = new FileSinkDesc(finalName, ts, conf.getBoolVar(ConfVars.COMPRESSRESULT));
FileSinkOperator fsOutput = (FileSinkOperator) OperatorFactory.getAndMakeChild(fsOutputDesc, inputRS, tsMerge);
// If the input FileSinkOperator is a dynamic partition enabled, the tsMerge input schema
// needs to include the partition column, and the fsOutput should have
// a DynamicPartitionCtx to indicate that it needs to dynamically partitioned.
DynamicPartitionCtx dpCtx = fsInputDesc.getDynPartCtx();
if (dpCtx != null && dpCtx.getNumDPCols() > 0) {
// adding DP ColumnInfo to the RowSchema signature
ArrayList<ColumnInfo> signature = inputRS.getSignature();
String tblAlias = fsInputDesc.getTableInfo().getTableName();
for (String dpCol : dpCtx.getDPColNames()) {
ColumnInfo colInfo = new ColumnInfo(dpCol, // all partition column type should be string
TypeInfoFactory.stringTypeInfo, tblAlias, // partition column is virtual column
true);
signature.add(colInfo);
}
inputRS.setSignature(signature);
// create another DynamicPartitionCtx, which has a different input-to-DP column mapping
DynamicPartitionCtx dpCtx2 = new DynamicPartitionCtx(dpCtx);
fsOutputDesc.setDynPartCtx(dpCtx2);
// update the FileSinkOperator to include partition columns
usePartitionColumns(fsInputDesc.getTableInfo().getProperties(), dpCtx.getDPColNames());
} else {
// non-partitioned table
fsInputDesc.getTableInfo().getProperties().remove(org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_PARTITION_COLUMNS);
}
//
// 2. Constructing a conditional task consisting of a move task and a map reduce task
//
MoveWork dummyMv = new MoveWork(null, null, null, new LoadFileDesc(fsInputDesc.getFinalDirName(), finalName, true, null, null), false);
MapWork cplan;
Serializable work;
if ((conf.getBoolVar(ConfVars.HIVEMERGERCFILEBLOCKLEVEL) && fsInputDesc.getTableInfo().getInputFileFormatClass().equals(RCFileInputFormat.class)) || (conf.getBoolVar(ConfVars.HIVEMERGEORCFILESTRIPELEVEL) && fsInputDesc.getTableInfo().getInputFileFormatClass().equals(OrcInputFormat.class))) {
cplan = GenMapRedUtils.createMergeTask(fsInputDesc, finalName, dpCtx != null && dpCtx.getNumDPCols() > 0, fsInput.getCompilationOpContext());
if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")) {
work = new TezWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID), conf);
cplan.setName("File Merge");
((TezWork) work).add(cplan);
} else if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("spark")) {
work = new SparkWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID));
cplan.setName("Spark Merge File Work");
((SparkWork) work).add(cplan);
} else {
work = cplan;
}
} else {
cplan = createMRWorkForMergingFiles(conf, tsMerge, fsInputDesc);
if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")) {
work = new TezWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID), conf);
cplan.setName("File Merge");
((TezWork) work).add(cplan);
} else if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("spark")) {
work = new SparkWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID));
cplan.setName("Spark Merge File Work");
((SparkWork) work).add(cplan);
} else {
work = new MapredWork();
((MapredWork) work).setMapWork(cplan);
}
}
// use CombineHiveInputFormat for map-only merging
cplan.setInputformat("org.apache.hadoop.hive.ql.io.CombineHiveInputFormat");
// NOTE: we should gather stats in MR1 rather than MR2 at merge job since we don't
// know if merge MR2 will be triggered at execution time
Task<MoveWork> mvTask = GenMapRedUtils.findMoveTask(mvTasks, fsOutput);
ConditionalTask cndTsk = GenMapRedUtils.createCondTask(conf, currTask, dummyMv, work, fsInputDesc.getFinalDirName(), finalName, mvTask, dependencyTask);
// keep the dynamic partition context in conditional task resolver context
ConditionalResolverMergeFilesCtx mrCtx = (ConditionalResolverMergeFilesCtx) cndTsk.getResolverCtx();
mrCtx.setDPCtx(fsInputDesc.getDynPartCtx());
mrCtx.setLbCtx(fsInputDesc.getLbCtx());
}
use of org.apache.hadoop.hive.ql.plan.LoadFileDesc in project hive by apache.
the class SemanticAnalyzer method genFileSinkPlan.
@SuppressWarnings("nls")
protected Operator genFileSinkPlan(String dest, QB qb, Operator input) throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
QBMetaData qbm = qb.getMetaData();
Integer dest_type = qbm.getDestTypeForAlias(dest);
// destination table if any
Table dest_tab = null;
// should the destination table be written to using ACID
boolean destTableIsAcid = false;
boolean destTableIsTemporary = false;
boolean destTableIsMaterialization = false;
// destination partition if any
Partition dest_part = null;
// the intermediate destination directory
Path queryTmpdir = null;
// the final destination directory
Path dest_path = null;
TableDesc table_desc = null;
int currentTableId = 0;
boolean isLocal = false;
SortBucketRSCtx rsCtx = new SortBucketRSCtx();
DynamicPartitionCtx dpCtx = null;
LoadTableDesc ltd = null;
ListBucketingCtx lbCtx = null;
Map<String, String> partSpec = null;
switch(dest_type.intValue()) {
case QBMetaData.DEST_TABLE:
{
dest_tab = qbm.getDestTableForAlias(dest);
destTableIsAcid = AcidUtils.isAcidTable(dest_tab);
destTableIsTemporary = dest_tab.isTemporary();
// Is the user trying to insert into a external tables
if ((!conf.getBoolVar(HiveConf.ConfVars.HIVE_INSERT_INTO_EXTERNAL_TABLES)) && (dest_tab.getTableType().equals(TableType.EXTERNAL_TABLE))) {
throw new SemanticException(ErrorMsg.INSERT_EXTERNAL_TABLE.getMsg(dest_tab.getTableName()));
}
partSpec = qbm.getPartSpecForAlias(dest);
dest_path = dest_tab.getPath();
// verify that our destination is empty before proceeding
if (dest_tab.isImmutable() && qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName())) {
try {
FileSystem fs = dest_path.getFileSystem(conf);
if (!MetaStoreUtils.isDirEmpty(fs, dest_path)) {
LOG.warn("Attempted write into an immutable table : " + dest_tab.getTableName() + " : " + dest_path);
throw new SemanticException(ErrorMsg.INSERT_INTO_IMMUTABLE_TABLE.getMsg(dest_tab.getTableName()));
}
} catch (IOException ioe) {
LOG.warn("Error while trying to determine if immutable table has any data : " + dest_tab.getTableName() + " : " + dest_path);
throw new SemanticException(ErrorMsg.INSERT_INTO_IMMUTABLE_TABLE.getMsg(ioe.getMessage()));
}
}
// check for partition
List<FieldSchema> parts = dest_tab.getPartitionKeys();
if (parts != null && parts.size() > 0) {
// table is partitioned
if (partSpec == null || partSpec.size() == 0) {
// user did NOT specify partition
throw new SemanticException(generateErrorMessage(qb.getParseInfo().getDestForClause(dest), ErrorMsg.NEED_PARTITION_ERROR.getMsg()));
}
dpCtx = qbm.getDPCtx(dest);
if (dpCtx == null) {
dest_tab.validatePartColumnNames(partSpec, false);
dpCtx = new DynamicPartitionCtx(dest_tab, partSpec, conf.getVar(HiveConf.ConfVars.DEFAULTPARTITIONNAME), conf.getIntVar(HiveConf.ConfVars.DYNAMICPARTITIONMAXPARTSPERNODE));
qbm.setDPCtx(dest, dpCtx);
}
if (!HiveConf.getBoolVar(conf, HiveConf.ConfVars.DYNAMICPARTITIONING)) {
// allow DP
throw new SemanticException(generateErrorMessage(qb.getParseInfo().getDestForClause(dest), ErrorMsg.DYNAMIC_PARTITION_DISABLED.getMsg()));
}
if (dpCtx.getSPPath() != null) {
dest_path = new Path(dest_tab.getPath(), dpCtx.getSPPath());
}
if ((dest_tab.getNumBuckets() > 0)) {
dpCtx.setNumBuckets(dest_tab.getNumBuckets());
}
}
boolean isNonNativeTable = dest_tab.isNonNative();
if (isNonNativeTable) {
queryTmpdir = dest_path;
} else {
queryTmpdir = ctx.getTempDirForPath(dest_path, true);
}
if (dpCtx != null) {
// set the root of the temporary path where dynamic partition columns will populate
dpCtx.setRootPath(queryTmpdir);
}
// this table_desc does not contain the partitioning columns
table_desc = Utilities.getTableDesc(dest_tab);
// Add sorting/bucketing if needed
input = genBucketingSortingDest(dest, input, qb, table_desc, dest_tab, rsCtx);
idToTableNameMap.put(String.valueOf(destTableId), dest_tab.getTableName());
currentTableId = destTableId;
destTableId++;
lbCtx = constructListBucketingCtx(dest_tab.getSkewedColNames(), dest_tab.getSkewedColValues(), dest_tab.getSkewedColValueLocationMaps(), dest_tab.isStoredAsSubDirectories(), conf);
// NOTE: specify Dynamic partitions in dest_tab for WriteEntity
if (!isNonNativeTable) {
AcidUtils.Operation acidOp = AcidUtils.Operation.NOT_ACID;
if (destTableIsAcid) {
acidOp = getAcidType(table_desc.getOutputFileFormatClass(), dest);
checkAcidConstraints(qb, table_desc, dest_tab);
}
ltd = new LoadTableDesc(queryTmpdir, table_desc, dpCtx, acidOp);
ltd.setReplace(!qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName()));
ltd.setLbCtx(lbCtx);
loadTableWork.add(ltd);
} else {
// This is a non-native table.
// We need to set stats as inaccurate.
setStatsForNonNativeTable(dest_tab);
// true if it is insert overwrite.
boolean overwrite = !qb.getParseInfo().isInsertIntoTable(String.format("%s.%s", dest_tab.getDbName(), dest_tab.getTableName()));
createInsertDesc(dest_tab, overwrite);
}
WriteEntity output = null;
// list of dynamically created partitions are known.
if ((dpCtx == null || dpCtx.getNumDPCols() == 0)) {
output = new WriteEntity(dest_tab, determineWriteType(ltd, isNonNativeTable, dest));
if (!outputs.add(output)) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES.getMsg(dest_tab.getTableName()));
}
}
if ((dpCtx != null) && (dpCtx.getNumDPCols() >= 0)) {
// No static partition specified
if (dpCtx.getNumSPCols() == 0) {
output = new WriteEntity(dest_tab, determineWriteType(ltd, isNonNativeTable, dest), false);
outputs.add(output);
output.setDynamicPartitionWrite(true);
} else // part of the partition specified
// Create a DummyPartition in this case. Since, the metastore does not store partial
// partitions currently, we need to store dummy partitions
{
try {
String ppath = dpCtx.getSPPath();
ppath = ppath.substring(0, ppath.length() - 1);
DummyPartition p = new DummyPartition(dest_tab, dest_tab.getDbName() + "@" + dest_tab.getTableName() + "@" + ppath, partSpec);
output = new WriteEntity(p, getWriteType(dest), false);
output.setDynamicPartitionWrite(true);
outputs.add(output);
} catch (HiveException e) {
throw new SemanticException(e.getMessage(), e);
}
}
}
ctx.getLoadTableOutputMap().put(ltd, output);
break;
}
case QBMetaData.DEST_PARTITION:
{
dest_part = qbm.getDestPartitionForAlias(dest);
dest_tab = dest_part.getTable();
destTableIsAcid = AcidUtils.isAcidTable(dest_tab);
if ((!conf.getBoolVar(HiveConf.ConfVars.HIVE_INSERT_INTO_EXTERNAL_TABLES)) && dest_tab.getTableType().equals(TableType.EXTERNAL_TABLE)) {
throw new SemanticException(ErrorMsg.INSERT_EXTERNAL_TABLE.getMsg(dest_tab.getTableName()));
}
Path tabPath = dest_tab.getPath();
Path partPath = dest_part.getDataLocation();
// verify that our destination is empty before proceeding
if (dest_tab.isImmutable() && qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName())) {
try {
FileSystem fs = partPath.getFileSystem(conf);
if (!MetaStoreUtils.isDirEmpty(fs, partPath)) {
LOG.warn("Attempted write into an immutable table partition : " + dest_tab.getTableName() + " : " + partPath);
throw new SemanticException(ErrorMsg.INSERT_INTO_IMMUTABLE_TABLE.getMsg(dest_tab.getTableName()));
}
} catch (IOException ioe) {
LOG.warn("Error while trying to determine if immutable table partition has any data : " + dest_tab.getTableName() + " : " + partPath);
throw new SemanticException(ErrorMsg.INSERT_INTO_IMMUTABLE_TABLE.getMsg(ioe.getMessage()));
}
}
// if the table is in a different dfs than the partition,
// replace the partition's dfs with the table's dfs.
dest_path = new Path(tabPath.toUri().getScheme(), tabPath.toUri().getAuthority(), partPath.toUri().getPath());
queryTmpdir = ctx.getTempDirForPath(dest_path, true);
table_desc = Utilities.getTableDesc(dest_tab);
// Add sorting/bucketing if needed
input = genBucketingSortingDest(dest, input, qb, table_desc, dest_tab, rsCtx);
idToTableNameMap.put(String.valueOf(destTableId), dest_tab.getTableName());
currentTableId = destTableId;
destTableId++;
lbCtx = constructListBucketingCtx(dest_part.getSkewedColNames(), dest_part.getSkewedColValues(), dest_part.getSkewedColValueLocationMaps(), dest_part.isStoredAsSubDirectories(), conf);
AcidUtils.Operation acidOp = AcidUtils.Operation.NOT_ACID;
if (destTableIsAcid) {
acidOp = getAcidType(table_desc.getOutputFileFormatClass(), dest);
checkAcidConstraints(qb, table_desc, dest_tab);
}
ltd = new LoadTableDesc(queryTmpdir, table_desc, dest_part.getSpec(), acidOp);
ltd.setReplace(!qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName()));
ltd.setLbCtx(lbCtx);
loadTableWork.add(ltd);
if (!outputs.add(new WriteEntity(dest_part, determineWriteType(ltd, dest_tab.isNonNative(), dest)))) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES.getMsg(dest_tab.getTableName() + "@" + dest_part.getName()));
}
break;
}
case QBMetaData.DEST_LOCAL_FILE:
isLocal = true;
// fall through
case QBMetaData.DEST_DFS_FILE:
{
dest_path = new Path(qbm.getDestFileForAlias(dest));
if (isLocal) {
// for local directory - we always write to map-red intermediate
// store and then copy to local fs
queryTmpdir = ctx.getMRTmpPath();
} else {
try {
Path qPath = FileUtils.makeQualified(dest_path, conf);
queryTmpdir = ctx.getTempDirForPath(qPath, true);
} catch (Exception e) {
throw new SemanticException("Error creating temporary folder on: " + dest_path, e);
}
}
String cols = "";
String colTypes = "";
ArrayList<ColumnInfo> colInfos = inputRR.getColumnInfos();
// CTAS case: the file output format and serde are defined by the create
// table command rather than taking the default value
List<FieldSchema> field_schemas = null;
CreateTableDesc tblDesc = qb.getTableDesc();
CreateViewDesc viewDesc = qb.getViewDesc();
if (tblDesc != null) {
field_schemas = new ArrayList<FieldSchema>();
destTableIsTemporary = tblDesc.isTemporary();
destTableIsMaterialization = tblDesc.isMaterialization();
} else if (viewDesc != null) {
field_schemas = new ArrayList<FieldSchema>();
destTableIsTemporary = false;
}
boolean first = true;
for (ColumnInfo colInfo : colInfos) {
String[] nm = inputRR.reverseLookup(colInfo.getInternalName());
if (nm[1] != null) {
// non-null column alias
colInfo.setAlias(nm[1]);
}
//default column name
String colName = colInfo.getInternalName();
if (field_schemas != null) {
FieldSchema col = new FieldSchema();
if (!("".equals(nm[0])) && nm[1] != null) {
// remove ``
colName = unescapeIdentifier(colInfo.getAlias()).toLowerCase();
}
colName = fixCtasColumnName(colName);
col.setName(colName);
String typeName = colInfo.getType().getTypeName();
// CTAS should NOT create a VOID type
if (typeName.equals(serdeConstants.VOID_TYPE_NAME)) {
throw new SemanticException(ErrorMsg.CTAS_CREATES_VOID_TYPE.getMsg(colName));
}
col.setType(typeName);
field_schemas.add(col);
}
if (!first) {
cols = cols.concat(",");
colTypes = colTypes.concat(":");
}
first = false;
cols = cols.concat(colName);
// Replace VOID type with string when the output is a temp table or
// local files.
// A VOID type can be generated under the query:
//
// select NULL from tt;
// or
// insert overwrite local directory "abc" select NULL from tt;
//
// where there is no column type to which the NULL value should be
// converted.
//
String tName = colInfo.getType().getTypeName();
if (tName.equals(serdeConstants.VOID_TYPE_NAME)) {
colTypes = colTypes.concat(serdeConstants.STRING_TYPE_NAME);
} else {
colTypes = colTypes.concat(tName);
}
}
// update the create table descriptor with the resulting schema.
if (tblDesc != null) {
tblDesc.setCols(new ArrayList<FieldSchema>(field_schemas));
} else if (viewDesc != null) {
viewDesc.setSchema(new ArrayList<FieldSchema>(field_schemas));
}
boolean isDestTempFile = true;
if (!ctx.isMRTmpFileURI(dest_path.toUri().toString())) {
idToTableNameMap.put(String.valueOf(destTableId), dest_path.toUri().toString());
currentTableId = destTableId;
destTableId++;
isDestTempFile = false;
}
boolean isDfsDir = (dest_type.intValue() == QBMetaData.DEST_DFS_FILE);
loadFileWork.add(new LoadFileDesc(tblDesc, viewDesc, queryTmpdir, dest_path, isDfsDir, cols, colTypes));
if (tblDesc == null) {
if (viewDesc != null) {
table_desc = PlanUtils.getTableDesc(viewDesc, cols, colTypes);
} else if (qb.getIsQuery()) {
String fileFormat;
if (SessionState.get().getIsUsingThriftJDBCBinarySerDe()) {
fileFormat = "SequenceFile";
HiveConf.setVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT, fileFormat);
table_desc = PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, fileFormat, ThriftJDBCBinarySerDe.class);
// Set the fetch formatter to be a no-op for the ListSinkOperator, since we'll
// write out formatted thrift objects to SequenceFile
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, NoOpFetchFormatter.class.getName());
} else {
fileFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT);
table_desc = PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, fileFormat, LazySimpleSerDe.class);
}
} else {
table_desc = PlanUtils.getDefaultTableDesc(qb.getDirectoryDesc(), cols, colTypes);
}
} else {
table_desc = PlanUtils.getTableDesc(tblDesc, cols, colTypes);
}
if (!outputs.add(new WriteEntity(dest_path, !isDfsDir, isDestTempFile))) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES.getMsg(dest_path.toUri().toString()));
}
break;
}
default:
throw new SemanticException("Unknown destination type: " + dest_type);
}
input = genConversionSelectOperator(dest, qb, input, table_desc, dpCtx);
inputRR = opParseCtx.get(input).getRowResolver();
ArrayList<ColumnInfo> vecCol = new ArrayList<ColumnInfo>();
if (updating(dest) || deleting(dest)) {
vecCol.add(new ColumnInfo(VirtualColumn.ROWID.getName(), VirtualColumn.ROWID.getTypeInfo(), "", true));
} else {
try {
StructObjectInspector rowObjectInspector = (StructObjectInspector) table_desc.getDeserializer(conf).getObjectInspector();
List<? extends StructField> fields = rowObjectInspector.getAllStructFieldRefs();
for (int i = 0; i < fields.size(); i++) {
vecCol.add(new ColumnInfo(fields.get(i).getFieldName(), TypeInfoUtils.getTypeInfoFromObjectInspector(fields.get(i).getFieldObjectInspector()), "", false));
}
} catch (Exception e) {
throw new SemanticException(e.getMessage(), e);
}
}
RowSchema fsRS = new RowSchema(vecCol);
// The output files of a FileSink can be merged if they are either not being written to a table
// or are being written to a table which is not bucketed
// and table the table is not sorted
boolean canBeMerged = (dest_tab == null || !((dest_tab.getNumBuckets() > 0) || (dest_tab.getSortCols() != null && dest_tab.getSortCols().size() > 0)));
// If this table is working with ACID semantics, turn off merging
canBeMerged &= !destTableIsAcid;
// Generate the partition columns from the parent input
if (dest_type.intValue() == QBMetaData.DEST_TABLE || dest_type.intValue() == QBMetaData.DEST_PARTITION) {
genPartnCols(dest, input, qb, table_desc, dest_tab, rsCtx);
}
FileSinkDesc fileSinkDesc = new FileSinkDesc(queryTmpdir, table_desc, conf.getBoolVar(HiveConf.ConfVars.COMPRESSRESULT), currentTableId, rsCtx.isMultiFileSpray(), canBeMerged, rsCtx.getNumFiles(), rsCtx.getTotalFiles(), rsCtx.getPartnCols(), dpCtx, dest_path);
boolean isHiveServerQuery = SessionState.get().isHiveServerQuery();
fileSinkDesc.setHiveServerQuery(isHiveServerQuery);
// FileSinkOperator knows how to properly write to it.
if (destTableIsAcid) {
AcidUtils.Operation wt = updating(dest) ? AcidUtils.Operation.UPDATE : (deleting(dest) ? AcidUtils.Operation.DELETE : AcidUtils.Operation.INSERT);
fileSinkDesc.setWriteType(wt);
acidFileSinks.add(fileSinkDesc);
}
fileSinkDesc.setTemporary(destTableIsTemporary);
fileSinkDesc.setMaterialization(destTableIsMaterialization);
/* Set List Bucketing context. */
if (lbCtx != null) {
lbCtx.processRowSkewedIndex(fsRS);
lbCtx.calculateSkewedValueSubDirList();
}
fileSinkDesc.setLbCtx(lbCtx);
// set the stats publishing/aggregating key prefix
// the same as directory name. The directory name
// can be changed in the optimizer but the key should not be changed
// it should be the same as the MoveWork's sourceDir.
fileSinkDesc.setStatsAggPrefix(fileSinkDesc.getDirName().toString());
if (!destTableIsMaterialization && HiveConf.getVar(conf, HIVESTATSDBCLASS).equalsIgnoreCase(StatDB.fs.name())) {
String statsTmpLoc = ctx.getTempDirForPath(dest_path).toString();
fileSinkDesc.setStatsTmpDir(statsTmpLoc);
LOG.debug("Set stats collection dir : " + statsTmpLoc);
}
if (dest_part != null) {
try {
String staticSpec = Warehouse.makePartPath(dest_part.getSpec());
fileSinkDesc.setStaticSpec(staticSpec);
} catch (MetaException e) {
throw new SemanticException(e);
}
} else if (dpCtx != null) {
fileSinkDesc.setStaticSpec(dpCtx.getSPPath());
}
if (isHiveServerQuery && null != table_desc && table_desc.getSerdeClassName().equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName()) && HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_SERVER2_THRIFT_RESULTSET_SERIALIZE_IN_TASKS)) {
fileSinkDesc.setIsUsingThriftJDBCBinarySerDe(true);
} else {
fileSinkDesc.setIsUsingThriftJDBCBinarySerDe(false);
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(fileSinkDesc, fsRS, input), inputRR);
if (ltd != null && SessionState.get() != null) {
SessionState.get().getLineageState().mapDirToOp(ltd.getSourcePath(), (FileSinkOperator) output);
} else if (queryState.getCommandType().equals(HiveOperation.CREATETABLE_AS_SELECT.getOperationName())) {
Path tlocation = null;
String tName = Utilities.getDbTableName(tableDesc.getTableName())[1];
try {
Warehouse wh = new Warehouse(conf);
tlocation = wh.getTablePath(db.getDatabase(tableDesc.getDatabaseName()), tName);
} catch (MetaException | HiveException e) {
throw new SemanticException(e);
}
SessionState.get().getLineageState().mapDirToOp(tlocation, (FileSinkOperator) output);
}
if (LOG.isDebugEnabled()) {
LOG.debug("Created FileSink Plan for clause: " + dest + "dest_path: " + dest_path + " row schema: " + inputRR.toString());
}
FileSinkOperator fso = (FileSinkOperator) output;
fso.getConf().setTable(dest_tab);
fsopToTable.put(fso, dest_tab);
// and it is an insert overwrite or insert into table
if (dest_tab != null && conf.getBoolVar(ConfVars.HIVESTATSAUTOGATHER) && conf.getBoolVar(ConfVars.HIVESTATSCOLAUTOGATHER) && ColumnStatsAutoGatherContext.canRunAutogatherStats(fso)) {
if (dest_type.intValue() == QBMetaData.DEST_TABLE) {
genAutoColumnStatsGatheringPipeline(qb, table_desc, partSpec, input, qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName()));
} else if (dest_type.intValue() == QBMetaData.DEST_PARTITION) {
genAutoColumnStatsGatheringPipeline(qb, table_desc, dest_part.getSpec(), input, qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(), dest_tab.getTableName()));
}
}
return output;
}
use of org.apache.hadoop.hive.ql.plan.LoadFileDesc in project hive by apache.
the class GenMapRedUtils method mergeMovePaths.
/**
* Merges the given Conditional input path and the linked MoveWork into one only MoveWork.
* This is an optimization for BlobStore systems to avoid doing two renames or copies that are not necessary.
*
* @param condInputPath A path that the ConditionalTask uses as input for its sub-tasks.
* @param linkedMoveWork A MoveWork that the ConditionalTask uses to link to its sub-tasks.
* @return A new MoveWork that has the Conditional input path as source and the linkedMoveWork as target.
*/
@VisibleForTesting
protected static MoveWork mergeMovePaths(Path condInputPath, MoveWork linkedMoveWork) {
MoveWork newWork = new MoveWork(linkedMoveWork);
LoadFileDesc fileDesc = null;
LoadTableDesc tableDesc = null;
if (linkedMoveWork.getLoadFileWork() != null) {
fileDesc = new LoadFileDesc(linkedMoveWork.getLoadFileWork());
fileDesc.setSourcePath(condInputPath);
} else if (linkedMoveWork.getLoadTableWork() != null) {
tableDesc = new LoadTableDesc(linkedMoveWork.getLoadTableWork());
tableDesc.setSourcePath(condInputPath);
} else {
throw new IllegalArgumentException("Merging a path with a MoveWork with multi-files work is not allowed.");
}
newWork.setLoadFileWork(fileDesc);
newWork.setLoadTableWork(tableDesc);
return newWork;
}
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