use of org.antlr.runtime.ClassicToken in project hive by apache.
the class SemanticAnalyzer method materializeCTE.
Table materializeCTE(String cteName, CTEClause cte) throws HiveException {
ASTNode createTable = new ASTNode(new ClassicToken(HiveParser.TOK_CREATETABLE));
ASTNode tableName = new ASTNode(new ClassicToken(HiveParser.TOK_TABNAME));
tableName.addChild(new ASTNode(new ClassicToken(HiveParser.Identifier, cteName)));
ASTNode temporary = new ASTNode(new ClassicToken(HiveParser.KW_TEMPORARY, MATERIALIZATION_MARKER));
createTable.addChild(tableName);
createTable.addChild(temporary);
createTable.addChild(cte.cteNode);
SemanticAnalyzer analyzer = new SemanticAnalyzer(queryState);
analyzer.initCtx(ctx);
analyzer.init(false);
// should share cte contexts
analyzer.aliasToCTEs.putAll(aliasToCTEs);
HiveOperation operation = queryState.getHiveOperation();
try {
analyzer.analyzeInternal(createTable);
} finally {
queryState.setCommandType(operation);
}
Table table = analyzer.tableDesc.toTable(conf);
Path location = table.getDataLocation();
try {
location.getFileSystem(conf).mkdirs(location);
} catch (IOException e) {
throw new HiveException(e);
}
table.setMaterializedTable(true);
LOG.info(cteName + " will be materialized into " + location);
cte.table = table;
cte.source = analyzer;
ctx.addMaterializedTable(cteName, table);
return table;
}
use of org.antlr.runtime.ClassicToken in project hive by apache.
the class CalcitePlanner method materializeCTE.
@Override
Table materializeCTE(String cteName, CTEClause cte) throws HiveException {
ASTNode createTable = new ASTNode(new ClassicToken(HiveParser.TOK_CREATETABLE));
ASTNode tableName = new ASTNode(new ClassicToken(HiveParser.TOK_TABNAME));
tableName.addChild(new ASTNode(new ClassicToken(HiveParser.Identifier, cteName)));
ASTNode temporary = new ASTNode(new ClassicToken(HiveParser.KW_TEMPORARY, MATERIALIZATION_MARKER));
createTable.addChild(tableName);
createTable.addChild(temporary);
createTable.addChild(cte.cteNode);
CalcitePlanner analyzer = new CalcitePlanner(queryState);
analyzer.initCtx(ctx);
analyzer.init(false);
// should share cte contexts
analyzer.aliasToCTEs.putAll(aliasToCTEs);
HiveOperation operation = queryState.getHiveOperation();
try {
analyzer.analyzeInternal(createTable);
} finally {
queryState.setCommandType(operation);
}
Table table = analyzer.tableDesc.toTable(conf);
Path location = table.getDataLocation();
try {
location.getFileSystem(conf).mkdirs(location);
} catch (IOException e) {
throw new HiveException(e);
}
table.setMaterializedTable(true);
LOG.info(cteName + " will be materialized into " + location);
cte.table = table;
cte.source = analyzer;
ctx.addMaterializedTable(cteName, table);
// For CalcitePlanner, store qualified name too
ctx.addMaterializedTable(table.getDbName() + "." + table.getTableName(), table);
return table;
}
use of org.antlr.runtime.ClassicToken in project hive by apache.
the class SemanticAnalyzer method genValuesTempTable.
/**
* Generate a temp table out of a values clause
* See also {@link #preProcessForInsert(ASTNode, QB)}
*/
private ASTNode genValuesTempTable(ASTNode originalFrom, QB qb) throws SemanticException {
Path dataDir = null;
if (!qb.getEncryptedTargetTablePaths().isEmpty()) {
//currently only Insert into T values(...) is supported thus only 1 values clause
//and only 1 target table are possible. If/when support for
//select ... from values(...) is added an insert statement may have multiple
//encrypted target tables.
dataDir = ctx.getMRTmpPath(qb.getEncryptedTargetTablePaths().get(0).toUri());
}
// Pick a name for the table
SessionState ss = SessionState.get();
String tableName = VALUES_TMP_TABLE_NAME_PREFIX + ss.getNextValuesTempTableSuffix();
// Step 1, parse the values clause we were handed
List<? extends Node> fromChildren = originalFrom.getChildren();
// First child should be the virtual table ref
ASTNode virtualTableRef = (ASTNode) fromChildren.get(0);
assert virtualTableRef.getToken().getType() == HiveParser.TOK_VIRTUAL_TABREF : "Expected first child of TOK_VIRTUAL_TABLE to be TOK_VIRTUAL_TABREF but was " + virtualTableRef.getName();
List<? extends Node> virtualTableRefChildren = virtualTableRef.getChildren();
// First child of this should be the table name. If it's anonymous,
// then we don't have a table name.
ASTNode tabName = (ASTNode) virtualTableRefChildren.get(0);
if (tabName.getToken().getType() != HiveParser.TOK_ANONYMOUS) {
// you need to parse this list of columns names and build it into the table
throw new SemanticException(ErrorMsg.VALUES_TABLE_CONSTRUCTOR_NOT_SUPPORTED.getMsg());
}
// The second child of the TOK_VIRTUAL_TABLE should be TOK_VALUES_TABLE
ASTNode valuesTable = (ASTNode) fromChildren.get(1);
assert valuesTable.getToken().getType() == HiveParser.TOK_VALUES_TABLE : "Expected second child of TOK_VIRTUAL_TABLE to be TOK_VALUE_TABLE but was " + valuesTable.getName();
// Each of the children of TOK_VALUES_TABLE will be a TOK_VALUE_ROW
List<? extends Node> valuesTableChildren = valuesTable.getChildren();
// Now that we're going to start reading through the rows, open a file to write the rows too
// If we leave this method before creating the temporary table we need to be sure to clean up
// this file.
Path tablePath = null;
FileSystem fs = null;
FSDataOutputStream out = null;
try {
if (dataDir == null) {
tablePath = Warehouse.getDnsPath(new Path(ss.getTempTableSpace(), tableName), conf);
} else {
//if target table of insert is encrypted, make sure temporary table data is stored
//similarly encrypted
tablePath = Warehouse.getDnsPath(new Path(dataDir, tableName), conf);
}
fs = tablePath.getFileSystem(conf);
fs.mkdirs(tablePath);
Path dataFile = new Path(tablePath, "data_file");
out = fs.create(dataFile);
List<FieldSchema> fields = new ArrayList<FieldSchema>();
boolean firstRow = true;
for (Node n : valuesTableChildren) {
ASTNode valuesRow = (ASTNode) n;
assert valuesRow.getToken().getType() == HiveParser.TOK_VALUE_ROW : "Expected child of TOK_VALUE_TABLE to be TOK_VALUE_ROW but was " + valuesRow.getName();
// Each of the children of this should be a literal
List<? extends Node> valuesRowChildren = valuesRow.getChildren();
boolean isFirst = true;
int nextColNum = 1;
for (Node n1 : valuesRowChildren) {
ASTNode value = (ASTNode) n1;
if (firstRow) {
fields.add(new FieldSchema("tmp_values_col" + nextColNum++, "string", ""));
}
if (isFirst)
isFirst = false;
else
writeAsText("", out);
writeAsText(unparseExprForValuesClause(value), out);
}
writeAsText("\n", out);
firstRow = false;
}
// Step 2, create a temp table, using the created file as the data
StorageFormat format = new StorageFormat(conf);
format.processStorageFormat("TextFile");
Table table = db.newTable(tableName);
table.setSerializationLib(format.getSerde());
table.setFields(fields);
table.setDataLocation(tablePath);
table.getTTable().setTemporary(true);
table.setStoredAsSubDirectories(false);
table.setInputFormatClass(format.getInputFormat());
table.setOutputFormatClass(format.getOutputFormat());
db.createTable(table, false);
} catch (Exception e) {
String errMsg = ErrorMsg.INSERT_CANNOT_CREATE_TEMP_FILE.getMsg() + e.getMessage();
LOG.error(errMsg);
// Try to delete the file
if (fs != null && tablePath != null) {
try {
fs.delete(tablePath, false);
} catch (IOException swallowIt) {
}
}
throw new SemanticException(errMsg, e);
} finally {
IOUtils.closeStream(out);
}
// Step 3, return a new subtree with a from clause built around that temp table
// The form of the tree is TOK_TABREF->TOK_TABNAME->identifier(tablename)
Token t = new ClassicToken(HiveParser.TOK_TABREF);
ASTNode tabRef = new ASTNode(t);
t = new ClassicToken(HiveParser.TOK_TABNAME);
ASTNode tabNameNode = new ASTNode(t);
tabRef.addChild(tabNameNode);
t = new ClassicToken(HiveParser.Identifier, tableName);
ASTNode identifier = new ASTNode(t);
tabNameNode.addChild(identifier);
return tabRef;
}
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