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com.tigergraph.jdbc.restpp.RestppResultSet Maven / Gradle / Ivy
package com.tigergraph.jdbc.restpp;
import com.tigergraph.jdbc.common.Attribute;
import com.tigergraph.jdbc.common.ResultSet;
import com.tigergraph.jdbc.common.Statement;
import com.tigergraph.jdbc.common.TableResults;
import com.tigergraph.jdbc.restpp.driver.QueryType;
import com.tigergraph.jdbc.log.TGLoggerFactory;
import org.json.JSONArray;
import org.json.JSONObject;
import org.slf4j.Logger;
import java.io.InputStream;
import java.math.BigDecimal;
import java.sql.Array;
import java.sql.SQLException;
import java.util.*;
public class RestppResultSet extends ResultSet {
private static final Logger logger = TGLoggerFactory.getLogger(RestppResultSet.class);
// All the tables in the ResultSet.
private List tableResults_;
// Current table results.
private List> resultSets_;
// Current row results.
private Map current_resultset_;
// Attribute list of current table.
private List attribute_list_;
private List scale_list_ = null;
private List precision_list_ = null;
private List field_list_;
// Set of current table's column names.
private Set key_set_;
// vertex type or edge type.
private String table_name_;
private int table_index_ = 0;
private int row_ = 0;
private Statement statement_;
private boolean wasNull_ = false;
private boolean isGettingEdge_ = false;
private QueryType query_type_ = QueryType.QUERY_TYPE_UNKNOWN;
public RestppResultSet(
Statement statement,
List resultList,
List field_list,
QueryType query_type,
boolean isGettingEdge)
throws SQLException {
this.statement_ = statement;
this.query_type_ = query_type;
this.isGettingEdge_ = isGettingEdge;
this.tableResults_ = new ArrayList<>();
this.resultSets_ = new ArrayList<>();
this.key_set_ = new HashSet();
this.attribute_list_ = new ArrayList<>();
this.field_list_ = field_list;
for (int i = 0; i < resultList.size(); i++) {
parseResult(resultList.get(i), this.query_type_);
}
// Add current ResultSet to table list.
updateTableResults();
// Move to the first table.
isLast();
}
/**
* For Spark to get schema for a loading job. lineSchema is the definition of each column of the
* data file.
*/
public RestppResultSet(Statement statement, String lineSchema) {
this.statement_ = statement;
this.resultSets_ = new ArrayList<>();
this.attribute_list_ = new ArrayList<>();
String[] tokens = lineSchema.replaceAll("\"", "").trim().split(" |,|\\(|\\)|=");
for (int i = 0; i < tokens.length; ++i) {
this.attribute_list_.add(new Attribute(tokens[i], "STRING", Boolean.FALSE));
}
}
/** Parse a vertex's schema definition. */
private void parseSchemaVertex(JSONObject obj) {
this.table_name_ = obj.getString("Name");
// Get primary id.
JSONObject pidObj = (JSONObject) obj.get("PrimaryId");
String attr_name = pidObj.getString("AttributeName");
Object value = pidObj.get("AttributeType");
String attr_type = "";
if (value instanceof JSONObject) {
attr_type = ((JSONObject) value).getString("Name");
/**
* When retrieving vertex schema, the primary_id is denoted as the name defined in schema.
* While in the query results, primary_id is denoted as "v_id". So "v_id" is used for both
* cases for consistency.
*/
this.attribute_list_.add(new Attribute("v_id", attr_type, Boolean.TRUE));
}
// Get attributes.
JSONArray attributes = obj.getJSONArray("Attributes");
for (int i = 0; i < attributes.length(); i++) {
attr_name = attributes.getJSONObject(i).getString("AttributeName");
value = attributes.getJSONObject(i).get("AttributeType");
if (value instanceof JSONObject) {
attr_type = ((JSONObject) value).getString("Name");
/**
* For Spark getting CatalystType of LIST/SET
* {"AttributeType":{"ValueTypeName":"INT","Name":"LIST"} => attr_type = LIST.INT
*/
if (((JSONObject) value).has("ValueTypeName")) {
attr_type = attr_type + "." + ((JSONObject) value).getString("ValueTypeName");
}
this.attribute_list_.add(new Attribute(attr_name, attr_type, Boolean.FALSE));
}
}
}
/** Parse a edge's schema definition. */
private void parseSchemaEdge(JSONObject obj) {
this.table_name_ = obj.getString("Name");
String from_vertex_type = obj.getString("FromVertexTypeName");
String to_vertex_type = obj.getString("ToVertexTypeName");
/**
* Spark will raise exception when found duplicate column names, but TigerGraph edges' source
* vertex and target vertex can be of the same type. So prefix was added here.
*/
if (from_vertex_type.equals(to_vertex_type) && this.isGettingEdge_) {
this.attribute_list_.add(new Attribute("from." + from_vertex_type, "STRING", Boolean.TRUE));
this.attribute_list_.add(new Attribute("to." + to_vertex_type, "STRING", Boolean.TRUE));
} else {
this.attribute_list_.add(new Attribute(from_vertex_type, "STRING", Boolean.TRUE));
this.attribute_list_.add(new Attribute(to_vertex_type, "STRING", Boolean.TRUE));
}
JSONArray attributes = obj.getJSONArray("Attributes");
for (int i = 0; i < attributes.length(); i++) {
String attr_name = attributes.getJSONObject(i).getString("AttributeName");
Object value = attributes.getJSONObject(i).get("AttributeType");
String attr_type = "";
if (value instanceof JSONObject) {
attr_type = ((JSONObject) value).getString("Name");
/**
* For Spark getting CatalystType of LIST/SET
* {"AttributeType":{"ValueTypeName":"INT","Name":"LIST"} => attr_type = LIST.INT
*/
if (((JSONObject) value).has("ValueTypeName")) {
attr_type = attr_type + "." + ((JSONObject) value).getString("ValueTypeName");
}
this.attribute_list_.add(new Attribute(attr_name, attr_type, Boolean.FALSE));
}
}
}
private void parseStatistics(JSONObject obj) {
Map map = new HashMap();
ArrayList attribute_list = new ArrayList<>();
ArrayList scale_list = new ArrayList<>();
ArrayList precision_list = new ArrayList<>();
Set key_set = new HashSet();
// Since the statistics json object has many levels of nested objects,
// so we simply convert it to String and save to a single column.
map.put("statistics", obj.toString());
attribute_list.add(new Attribute("statistics", "STRING", Boolean.FALSE));
key_set.add("statistics");
scale_list.add(0);
precision_list.add(0);
addToTable(map, attribute_list, key_set, "statistics", scale_list, precision_list);
}
private void parseKeyValue(
ArrayList attribute_list,
String key,
Object value,
List scale_list,
List precision_list) {
String str = String.valueOf(value);
int length = str.length();
precision_list.add(length);
/**
* An attribute's values could be int for some vertices, and float for others (e.g., pagerank
* score). As a workaround, all integers are treated as float. Will change it back after
* supporting retrieving query schema.
*/
if (value instanceof Number) {
int index = str.indexOf('.');
if (index < 0) {
scale_list.add(0);
} else {
scale_list.add(length - index - 1);
}
attribute_list.add(new Attribute(key, "DOUBLE", Boolean.FALSE));
} else {
scale_list.add(0);
attribute_list.add(new Attribute(key, "STRING", Boolean.FALSE));
}
}
/** Parse a JSONObject that represents a vertex. */
private void parseVertex(JSONObject obj) {
Map map = new HashMap();
ArrayList attribute_list = new ArrayList<>();
ArrayList scale_list = new ArrayList<>();
ArrayList precision_list = new ArrayList<>();
Set key_set = new HashSet();
String table_name = obj.getString("v_type");
String id = obj.getString("v_id");
attribute_list.add(new Attribute("v_id", "STRING", Boolean.TRUE));
scale_list.add(0);
precision_list.add(id.length());
key_set.add("v_id");
map.put("v_id", id);
JSONObject attributes = obj.getJSONObject("attributes");
Iterator keysItr = attributes.keys();
while (keysItr.hasNext()) {
String key = keysItr.next();
Object value = attributes.get(key);
map.put(key, value);
key_set.add(key);
parseKeyValue(attribute_list, key, value, scale_list, precision_list);
}
addToTable(map, attribute_list, key_set, table_name, scale_list, precision_list);
}
/** Parse a JSONObject that represents an edge. */
private void parseEdge(JSONObject obj) {
Map map = new HashMap();
ArrayList attribute_list = new ArrayList<>();
ArrayList scale_list = new ArrayList<>();
ArrayList precision_list = new ArrayList<>();
Set key_set = new HashSet();
String table_name = obj.getString("e_type");
String from_id = obj.getString("from_id");
String from_type = obj.getString("from_type");
String to_id = obj.getString("to_id");
String to_type = obj.getString("to_type");
if (from_type.equals(to_type)) {
from_type = "from." + from_type;
to_type = "to." + to_type;
}
attribute_list.add(new Attribute(from_type, "STRING", Boolean.TRUE));
attribute_list.add(new Attribute(to_type, "STRING", Boolean.TRUE));
scale_list.add(0);
scale_list.add(0);
precision_list.add(from_id.length());
precision_list.add(to_id.length());
key_set.add(from_type);
key_set.add(to_type);
map.put(from_type, from_id);
map.put(to_type, to_id);
JSONObject attributes = obj.getJSONObject("attributes");
Iterator keysItr = attributes.keys();
while (keysItr.hasNext()) {
String key = keysItr.next();
Object value = attributes.get(key);
map.put(key, value);
key_set.add(key);
parseKeyValue(attribute_list, key, value, scale_list, precision_list);
}
addToTable(map, attribute_list, key_set, table_name, scale_list, precision_list);
}
/** Add current result (a row) to a table. */
private void addToTable(
Map map,
ArrayList attribute_list,
Set key_set,
String table_name,
List scale_list,
List precision_list) {
if (this.key_set_.size() == 0) { // It is the first table.
this.attribute_list_ = attribute_list;
this.key_set_ = key_set;
this.table_name_ = table_name;
this.scale_list_ = scale_list;
this.precision_list_ = precision_list;
this.resultSets_.add(map);
} else {
if (this.key_set_.equals(key_set)) {
/**
* If the schema of current result is the same as current table, just add the result to this
* table.
*/
this.resultSets_.add(map);
if (this.scale_list_.size() == scale_list.size()) {
for (int i = 0; i < scale_list.size(); ++i) {
this.scale_list_.set(i, Math.max(this.scale_list_.get(i), scale_list.get(i)));
}
}
if (this.precision_list_.size() == precision_list.size()) {
for (int i = 0; i < precision_list.size(); ++i) {
this.precision_list_.set(
i, Math.max(this.precision_list_.get(i), precision_list.get(i)));
}
}
} else {
/** Otherwise, we need to store the current table, and switch to a new table. */
updateTableResults();
this.attribute_list_ = attribute_list;
this.precision_list_ = precision_list;
this.scale_list_ = scale_list;
this.key_set_ = key_set;
this.table_name_ = table_name;
this.resultSets_ = new ArrayList<>();
this.resultSets_.add(map);
}
}
}
/** Add current ResultSet to table list. */
private void updateTableResults() {
this.tableResults_.add(
new TableResults(this.resultSets_, this.attribute_list_, this.table_name_));
if ((this.scale_list_ == null) || (this.precision_list_ == null)) {
// No result.
return;
}
if (this.scale_list_.size() == this.attribute_list_.size()) {
for (int i = 0; i < this.scale_list_.size(); ++i) {
this.attribute_list_.get(i).setScale(this.scale_list_.get(i));
}
}
if (this.precision_list_.size() == this.attribute_list_.size()) {
for (int i = 0; i < this.precision_list_.size(); ++i) {
this.attribute_list_.get(i).setPrecision(this.precision_list_.get(i));
}
}
}
/**
* Parse an arbitrary JSONObject, which could be a vertex, an edge, JSONArray, or key/value pairs.
*/
private void parseJSONObject(JSONObject obj) {
Map map = new HashMap();
ArrayList attribute_list = new ArrayList<>();
ArrayList scale_list = new ArrayList<>();
ArrayList precision_list = new ArrayList<>();
Set key_set = new HashSet();
String table_name = "";
if (obj.has("v_type") && obj.has("v_id")) { // It is a vertex
parseVertex(obj);
} else if (obj.has("e_type") && obj.has("from_id")) { // It is an edge
parseEdge(obj);
} else {
// Otherwise, enumerate all the keys.
Iterator keysItr = obj.keys();
while (keysItr.hasNext()) {
String key = keysItr.next();
Object value = obj.get(key);
if (value instanceof JSONObject) {
parseJSONObject((JSONObject) value);
} else if (value instanceof JSONArray) {
for (int i = 0; i < ((JSONArray) value).length(); i++) {
parseJSONObject(((JSONArray) value).getJSONObject(i));
}
} else {
map.put(key, value);
key_set.add(key);
parseKeyValue(attribute_list, key, value, scale_list, precision_list);
// Use the first key as table name.
if (table_name == "") {
table_name = key;
}
}
}
}
if (map.size() > 0) {
addToTable(map, attribute_list, key_set, table_name, scale_list, precision_list);
}
}
/** Parse a JSONObject based on query type. */
private void parseResult(JSONObject obj, QueryType query_type) throws SQLException {
switch (query_type) {
case QUERY_TYPE_GRAPH_GET_VERTEX:
parseVertex(obj);
break;
case QUERY_TYPE_GRAPH_GET_EDGE:
parseEdge(obj);
break;
case QUERY_TYPE_SCHEMA_EDGE:
parseSchemaEdge(obj);
break;
case QUERY_TYPE_SCHEMA_VERTEX:
parseSchemaVertex(obj);
break;
case QUERY_TYPE_JOBID_STATS:
parseStatistics(obj);
break;
case QUERY_TYPE_BUILTIN:
case QUERY_TYPE_INSTALLED:
case QUERY_TYPE_INTERPRETED:
case QUERY_TYPE_GRAPH:
case QUERY_TYPE_ALLPATHS:
case QUERY_TYPE_SHORTESTPATH:
default:
parseJSONObject(obj);
break;
}
}
@Override
@SuppressWarnings("unchecked")
protected boolean innerNext() throws SQLException {
if (row_ < this.resultSets_.size()) {
current_resultset_ = this.resultSets_.get(row_);
}
row_++;
return (row_ <= this.resultSets_.size());
}
// move to next table
public boolean isLast() throws SQLException {
if (table_index_ < this.tableResults_.size()) {
this.resultSets_ = this.tableResults_.get(table_index_).getResults();
this.attribute_list_ = this.tableResults_.get(table_index_).getAttrList();
this.table_name_ = this.tableResults_.get(table_index_).getTableName();
}
table_index_++;
row_ = 0;
return (table_index_ > this.tableResults_.size());
}
@Override
public void close() throws SQLException {
if (null != this.tableResults_) {
this.tableResults_.clear();
this.tableResults_ = null;
}
if (null != this.resultSets_) {
this.resultSets_.clear();
this.resultSets_ = null;
}
row_ = 0;
}
@Override
public boolean wasNull() throws SQLException {
return this.wasNull_;
}
public Object get(int columnIndex) throws SQLException {
if (columnIndex > this.attribute_list_.size()) {
logger.error(
"Column index out of range. {} out of {}.", columnIndex, this.attribute_list_.size());
throw new SQLException(
"Column index out of range. " + columnIndex + " out of " + this.attribute_list_.size());
}
Object value = this.resultSets_.get(columnIndex - 1);
wasNull_ = (value == null);
return value;
}
@Override
public Object getObject(int columnIndex) throws SQLException {
// Attributes reordering for Spark
if (this.field_list_.size() > 0) {
if (columnIndex > this.field_list_.size()) {
logger.error(
"Column index out of range. {} out of {}.", columnIndex, this.field_list_.size());
throw new SQLException(
"Column index out of range. " + columnIndex + " out of " + this.field_list_.size());
}
return getObject(this.field_list_.get(columnIndex - 1));
}
if (columnIndex > this.attribute_list_.size()) {
logger.error(
"Column index out of range. {} out of {}.", columnIndex, this.attribute_list_.size());
throw new SQLException(
"Column index out of range. " + columnIndex + " out of " + this.attribute_list_.size());
}
String name = this.attribute_list_.get(columnIndex - 1).getName();
return getObject(name);
}
@Override
public Object getObject(String columnLabel) throws SQLException {
if (this.current_resultset_.containsKey(columnLabel)) {
return this.current_resultset_.get(columnLabel);
}
return null;
}
@Override
public String getString(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return String.valueOf(obj);
}
@Override
public String getString(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return String.valueOf(obj);
}
@Override
public int getInt(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Integer.parseInt(obj.toString());
}
@Override
public int getInt(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Integer.parseInt(obj.toString());
}
@Override
public short getShort(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Short.parseShort(obj.toString());
}
@Override
public short getShort(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Short.parseShort(obj.toString());
}
@Override
public long getLong(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Long.parseLong(obj.toString());
}
@Override
public long getLong(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Long.parseLong(obj.toString());
}
@Override
public float getFloat(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Float.parseFloat(obj.toString());
}
@Override
public float getFloat(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Float.parseFloat(obj.toString());
}
@Override
public double getDouble(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Double.parseDouble(obj.toString());
}
@Override
public double getDouble(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Double.parseDouble(obj.toString());
}
@Override
public boolean getBoolean(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return Boolean.parseBoolean(obj.toString());
}
@Override
public boolean getBoolean(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return Boolean.parseBoolean(obj.toString());
}
@Override
public Array getArray(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
Object[] arrayObj;
if (obj instanceof JSONArray) {
arrayObj = ((JSONArray) obj).toList().toArray();
// TG INT/DOUBLE can be parsed to Integer/Long/BigDecimal/BigInteger by json parser.
// Convert them all to Double
if (arrayObj.length != 0 && (arrayObj[0] instanceof Number)) {
for (int i = 0; i < arrayObj.length; i++) {
arrayObj[i] = Double.valueOf(arrayObj[i].toString());
}
}
} else if (obj instanceof Object[]) {
arrayObj = (Object[]) obj;
} else {
String errMsg = "The column at index " + columnIndex + " is not an array type.";
logger.error(errMsg);
throw new SQLException(errMsg);
}
return new RestppArray("ANY", arrayObj);
}
@Override
public Array getArray(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
Object[] arrayObj;
if (obj instanceof JSONArray) {
arrayObj = ((JSONArray) obj).toList().toArray();
// TG INT/DOUBLE can be parsed to Integer/Long/BigDecimal/BigInteger by json parser.
// Convert them all to Double
if (arrayObj.length != 0 && (arrayObj[0] instanceof Number)) {
for (int i = 0; i < arrayObj.length; i++) {
arrayObj[i] = Double.valueOf(arrayObj[i].toString());
}
}
} else if (obj instanceof Object[]) {
arrayObj = (Object[]) obj;
} else {
String errMsg = "The column " + columnLabel + " is not an array type.";
logger.error(errMsg);
throw new SQLException(errMsg);
}
return new RestppArray("ANY", arrayObj);
}
// Only be invoked when retrieving TG UINT attribute
@Override
public BigDecimal getBigDecimal(int columnIndex) throws SQLException {
Object obj = getObject(columnIndex);
return new BigDecimal(obj.toString());
}
@Override
public BigDecimal getBigDecimal(String columnLabel) throws SQLException {
Object obj = getObject(columnLabel);
return new BigDecimal(obj.toString());
}
@Override
public com.tigergraph.jdbc.common.ResultSetMetaData getMetaData() throws SQLException {
return new com.tigergraph.jdbc.common.ResultSetMetaData(this.table_name_, this.attribute_list_);
}
/** Methods not implemented yet. */
@Override
public int getType() throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public int getConcurrency() throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public int getHoldability() throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public InputStream getUnicodeStream(int columnIndex) throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public InputStream getUnicodeStream(String columnLabel) throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public BigDecimal getBigDecimal(int columnIndex, int scale) throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public BigDecimal getBigDecimal(String columnLabel, int scale) throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
@Override
public int findColumn(String columnLabel) throws SQLException {
throw new UnsupportedOperationException("Not implemented yet.");
}
}
