Examples with Optimizer org.apache.hadoop.hive.ql.optimizer.Optimizer used on opensource projects

Example 1 with Optimizer

use of org.apache.hadoop.hive.ql.optimizer.Optimizer in project hive by apache.

the class SemanticAnalyzer method analyzeInternal.

void analyzeInternal(ASTNode ast, PlannerContextFactory pcf) throws SemanticException {
    // 1. Generate Resolved Parse tree from syntax tree
    LOG.info("Starting Semantic Analysis");
    // change the location of position alias process here
    processPositionAlias(ast);
    PlannerContext plannerCtx = pcf.create();
    if (!genResolvedParseTree(ast, plannerCtx)) {
        return;
    }
    if (HiveConf.getBoolVar(conf, ConfVars.HIVE_REMOVE_ORDERBY_IN_SUBQUERY)) {
        for (String alias : qb.getSubqAliases()) {
            removeOBInSubQuery(qb.getSubqForAlias(alias));
        }
    }
    // Check query results cache.
    // If no masking/filtering required, then we can check the cache now, before
    // generating the operator tree and going through CBO.
    // Otherwise we have to wait until after the masking/filtering step.
    boolean isCacheEnabled = conf.getBoolVar(HiveConf.ConfVars.HIVE_QUERY_RESULTS_CACHE_ENABLED);
    QueryResultsCache.LookupInfo lookupInfo = null;
    boolean needsTransform = needsTransform();
    if (isCacheEnabled && !needsTransform && queryTypeCanUseCache()) {
        lookupInfo = createLookupInfoForQuery(ast);
        if (checkResultsCache(lookupInfo)) {
            return;
        }
    }
    // 2. Gen OP Tree from resolved Parse Tree
    Operator sinkOp = genOPTree(ast, plannerCtx);
    if (!unparseTranslator.isEnabled() && (tableMask.isEnabled() && analyzeRewrite == null)) {
        // Here we rewrite the * and also the masking table
        ASTNode tree = rewriteASTWithMaskAndFilter(tableMask, ast, ctx.getTokenRewriteStream(), ctx, db, tabNameToTabObject, ignoredTokens);
        if (tree != ast) {
            plannerCtx = pcf.create();
            ctx.setSkipTableMasking(true);
            init(true);
            // change the location of position alias process here
            processPositionAlias(tree);
            genResolvedParseTree(tree, plannerCtx);
            if (this instanceof CalcitePlanner) {
                ((CalcitePlanner) this).resetCalciteConfiguration();
            }
            sinkOp = genOPTree(tree, plannerCtx);
        }
    }
    // here, after applying the masking/filtering rewrite rules to the AST.
    if (isCacheEnabled && needsTransform && queryTypeCanUseCache()) {
        lookupInfo = createLookupInfoForQuery(ast);
        if (checkResultsCache(lookupInfo)) {
            return;
        }
    }
    // 3. Deduce Resultset Schema
    if (createVwDesc != null && !this.ctx.isCboSucceeded()) {
        resultSchema = convertRowSchemaToViewSchema(opParseCtx.get(sinkOp).getRowResolver());
    } else {
        // succeeds.
        if (resultSchema == null) {
            resultSchema = convertRowSchemaToResultSetSchema(opParseCtx.get(sinkOp).getRowResolver(), HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_RESULTSET_USE_UNIQUE_COLUMN_NAMES));
        }
    }
    // 4. Generate Parse Context for Optimizer & Physical compiler
    copyInfoToQueryProperties(queryProperties);
    ParseContext pCtx = new ParseContext(queryState, opToPartPruner, opToPartList, topOps, new HashSet<JoinOperator>(joinContext.keySet()), new HashSet<SMBMapJoinOperator>(smbMapJoinContext.keySet()), loadTableWork, loadFileWork, columnStatsAutoGatherContexts, ctx, idToTableNameMap, destTableId, uCtx, listMapJoinOpsNoReducer, prunedPartitions, tabNameToTabObject, opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks, opToPartToSkewedPruner, viewAliasToInput, reduceSinkOperatorsAddedByEnforceBucketingSorting, analyzeRewrite, tableDesc, createVwDesc, materializedViewUpdateDesc, queryProperties, viewProjectToTableSchema, acidFileSinks);
    // Set the semijoin hints in parse context
    pCtx.setSemiJoinHints(parseSemiJoinHint(getQB().getParseInfo().getHintList()));
    // Set the mapjoin hint if it needs to be disabled.
    pCtx.setDisableMapJoin(disableMapJoinWithHint(getQB().getParseInfo().getHintList()));
    // 5. Take care of view creation
    if (createVwDesc != null) {
        if (ctx.getExplainAnalyze() == AnalyzeState.RUNNING) {
            return;
        }
        if (!ctx.isCboSucceeded()) {
            saveViewDefinition();
        }
        // validate the create view statement at this point, the createVwDesc gets
        // all the information for semanticcheck
        validateCreateView();
        if (createVwDesc.isMaterialized()) {
            createVwDesc.setTablesUsed(getTablesUsed(pCtx));
        } else {
            // Since we're only creating a view (not executing it), we don't need to
            // optimize or translate the plan (and in fact, those procedures can
            // interfere with the view creation). So skip the rest of this method.
            ctx.setResDir(null);
            ctx.setResFile(null);
            try {
                PlanUtils.addInputsForView(pCtx);
            } catch (HiveException e) {
                throw new SemanticException(e);
            }
            // Generate lineage info for create view statements
            // if LineageLogger hook is configured.
            // Add the transformation that computes the lineage information.
            Set<String> postExecHooks = Sets.newHashSet(Splitter.on(",").trimResults().omitEmptyStrings().split(Strings.nullToEmpty(HiveConf.getVar(conf, HiveConf.ConfVars.POSTEXECHOOKS))));
            if (postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.PostExecutePrinter") || postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.LineageLogger") || postExecHooks.contains("org.apache.atlas.hive.hook.HiveHook")) {
                ArrayList<Transform> transformations = new ArrayList<Transform>();
                transformations.add(new HiveOpConverterPostProc());
                transformations.add(new Generator(postExecHooks));
                for (Transform t : transformations) {
                    pCtx = t.transform(pCtx);
                }
                // we just use view name as location.
                queryState.getLineageState().mapDirToOp(new Path(createVwDesc.getViewName()), sinkOp);
            }
            return;
        }
    }
    // 6. Generate table access stats if required
    if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_TABLEKEYS)) {
        TableAccessAnalyzer tableAccessAnalyzer = new TableAccessAnalyzer(pCtx);
        setTableAccessInfo(tableAccessAnalyzer.analyzeTableAccess());
    }
    // 7. Perform Logical optimization
    if (LOG.isDebugEnabled()) {
        LOG.debug("Before logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
    }
    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    if (pCtx.getColumnAccessInfo() != null) {
        // set ColumnAccessInfo for view column authorization
        setColumnAccessInfo(pCtx.getColumnAccessInfo());
    }
    if (LOG.isDebugEnabled()) {
        LOG.debug("After logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
    }
    // 8. Generate column access stats if required - wait until column pruning
    // takes place during optimization
    boolean isColumnInfoNeedForAuth = SessionState.get().isAuthorizationModeV2() && HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_AUTHORIZATION_ENABLED);
    if (isColumnInfoNeedForAuth || HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_SCANCOLS)) {
        ColumnAccessAnalyzer columnAccessAnalyzer = new ColumnAccessAnalyzer(pCtx);
        // view column access info is carried by this.getColumnAccessInfo().
        setColumnAccessInfo(columnAccessAnalyzer.analyzeColumnAccess(this.getColumnAccessInfo()));
    }
    // TEZ..)
    if (!ctx.getExplainLogical()) {
        TaskCompiler compiler = TaskCompilerFactory.getCompiler(conf, pCtx);
        compiler.init(queryState, console, db);
        compiler.compile(pCtx, rootTasks, inputs, outputs);
        fetchTask = pCtx.getFetchTask();
    }
    // find all Acid FileSinkOperatorS
    QueryPlanPostProcessor qp = new QueryPlanPostProcessor(rootTasks, acidFileSinks, ctx.getExecutionId());
    LOG.info("Completed plan generation");
    // 10. put accessed columns to readEntity
    if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_SCANCOLS)) {
        putAccessedColumnsToReadEntity(inputs, columnAccessInfo);
    }
    if (isCacheEnabled && lookupInfo != null) {
        if (queryCanBeCached()) {
            QueryResultsCache.QueryInfo queryInfo = createCacheQueryInfoForQuery(lookupInfo);
            // Specify that the results of this query can be cached.
            setCacheUsage(new CacheUsage(CacheUsage.CacheStatus.CAN_CACHE_QUERY_RESULTS, queryInfo));
        }
    }
}

Example 2 with Optimizer

use of org.apache.hadoop.hive.ql.optimizer.Optimizer in project hive by apache.

the class SemanticAnalyzer method analyzeInternal.

void analyzeInternal(ASTNode ast, PlannerContext plannerCtx) throws SemanticException {
    // 1. Generate Resolved Parse tree from syntax tree
    LOG.info("Starting Semantic Analysis");
    //change the location of position alias process here
    processPositionAlias(ast);
    if (!genResolvedParseTree(ast, plannerCtx)) {
        return;
    }
    // 2. Gen OP Tree from resolved Parse Tree
    Operator sinkOp = genOPTree(ast, plannerCtx);
    if (!unparseTranslator.isEnabled() && tableMask.isEnabled()) {
        // Here we rewrite the * and also the masking table
        ASTNode tree = rewriteASTWithMaskAndFilter(ast);
        if (tree != ast) {
            ctx.setSkipTableMasking(true);
            init(true);
            //change the location of position alias process here
            processPositionAlias(tree);
            genResolvedParseTree(tree, plannerCtx);
            if (this instanceof CalcitePlanner) {
                ((CalcitePlanner) this).resetCalciteConfiguration();
            }
            sinkOp = genOPTree(tree, plannerCtx);
        }
    }
    // 3. Deduce Resultset Schema
    if (createVwDesc != null && !this.ctx.isCboSucceeded()) {
        resultSchema = convertRowSchemaToViewSchema(opParseCtx.get(sinkOp).getRowResolver());
    } else {
        // succeeds.
        if (resultSchema == null) {
            resultSchema = convertRowSchemaToResultSetSchema(opParseCtx.get(sinkOp).getRowResolver(), HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_RESULTSET_USE_UNIQUE_COLUMN_NAMES));
        }
    }
    // 4. Generate Parse Context for Optimizer & Physical compiler
    copyInfoToQueryProperties(queryProperties);
    ParseContext pCtx = new ParseContext(queryState, opToPartPruner, opToPartList, topOps, new HashSet<JoinOperator>(joinContext.keySet()), new HashSet<SMBMapJoinOperator>(smbMapJoinContext.keySet()), loadTableWork, loadFileWork, columnStatsAutoGatherContexts, ctx, idToTableNameMap, destTableId, uCtx, listMapJoinOpsNoReducer, prunedPartitions, tabNameToTabObject, opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks, opToPartToSkewedPruner, viewAliasToInput, reduceSinkOperatorsAddedByEnforceBucketingSorting, analyzeRewrite, tableDesc, createVwDesc, queryProperties, viewProjectToTableSchema, acidFileSinks);
    // 5. Take care of view creation
    if (createVwDesc != null) {
        if (ctx.getExplainAnalyze() == AnalyzeState.RUNNING) {
            return;
        }
        if (!ctx.isCboSucceeded()) {
            saveViewDefinition();
        }
        // validate the create view statement at this point, the createVwDesc gets
        // all the information for semanticcheck
        validateCreateView();
        if (!createVwDesc.isMaterialized()) {
            // Since we're only creating a view (not executing it), we don't need to
            // optimize or translate the plan (and in fact, those procedures can
            // interfere with the view creation). So skip the rest of this method.
            ctx.setResDir(null);
            ctx.setResFile(null);
            try {
                PlanUtils.addInputsForView(pCtx);
            } catch (HiveException e) {
                throw new SemanticException(e);
            }
            // Generate lineage info for create view statements
            // if LineageLogger hook is configured.
            // Add the transformation that computes the lineage information.
            Set<String> postExecHooks = Sets.newHashSet(Splitter.on(",").trimResults().omitEmptyStrings().split(Strings.nullToEmpty(HiveConf.getVar(conf, HiveConf.ConfVars.POSTEXECHOOKS))));
            if (postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.PostExecutePrinter") || postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.LineageLogger") || postExecHooks.contains("org.apache.atlas.hive.hook.HiveHook")) {
                ArrayList<Transform> transformations = new ArrayList<Transform>();
                transformations.add(new HiveOpConverterPostProc());
                transformations.add(new Generator());
                for (Transform t : transformations) {
                    pCtx = t.transform(pCtx);
                }
                // we just use view name as location.
                SessionState.get().getLineageState().mapDirToOp(new Path(createVwDesc.getViewName()), sinkOp);
            }
            return;
        }
    }
    // 6. Generate table access stats if required
    if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_TABLEKEYS)) {
        TableAccessAnalyzer tableAccessAnalyzer = new TableAccessAnalyzer(pCtx);
        setTableAccessInfo(tableAccessAnalyzer.analyzeTableAccess());
    }
    // 7. Perform Logical optimization
    if (LOG.isDebugEnabled()) {
        LOG.debug("Before logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
    }
    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    if (pCtx.getColumnAccessInfo() != null) {
        // set ColumnAccessInfo for view column authorization
        setColumnAccessInfo(pCtx.getColumnAccessInfo());
    }
    FetchTask origFetchTask = pCtx.getFetchTask();
    if (LOG.isDebugEnabled()) {
        LOG.debug("After logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
    }
    // 8. Generate column access stats if required - wait until column pruning
    // takes place during optimization
    boolean isColumnInfoNeedForAuth = SessionState.get().isAuthorizationModeV2() && HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_AUTHORIZATION_ENABLED);
    if (isColumnInfoNeedForAuth || HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_SCANCOLS)) {
        ColumnAccessAnalyzer columnAccessAnalyzer = new ColumnAccessAnalyzer(pCtx);
        // view column access info is carried by this.getColumnAccessInfo().
        setColumnAccessInfo(columnAccessAnalyzer.analyzeColumnAccess(this.getColumnAccessInfo()));
    }
    // TEZ..)
    if (!ctx.getExplainLogical()) {
        TaskCompiler compiler = TaskCompilerFactory.getCompiler(conf, pCtx);
        compiler.init(queryState, console, db);
        compiler.compile(pCtx, rootTasks, inputs, outputs);
        fetchTask = pCtx.getFetchTask();
    }
    LOG.info("Completed plan generation");
    // 10. put accessed columns to readEntity
    if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_SCANCOLS)) {
        putAccessedColumnsToReadEntity(inputs, columnAccessInfo);
    }
    // 11. if desired check we're not going over partition scan limits
    if (!ctx.isExplainSkipExecution()) {
        enforceScanLimits(pCtx, origFetchTask);
    }
    return;
}