टेक्स्ट की तुलना करें

दो टेक्स्ट फ़ाइलों के बीच अंतर ढूंढें

रियल-टाइम एडिटर
अपरिवर्तित संक्षिप्त करें
लाइन रैप बंद
लेआउट
परिवर्तन हाइलाइट करें
सिंटैक्स हाइलाइटिंग

Untitled diff

बनाया गया Diff कभी समाप्त नहीं होता
1 हटाया गया
146 लाइनें
1 जोड़ा गया
146 लाइनें
Generated code:
Generated code:
/* 001 */ public Object generate(Object[] references) {
/* 001 */ public Object generate(Object[] references) {
/* 002 */ return new GeneratedIterator(references);
/* 002 */ return new GeneratedIterator(references);
/* 003 */ }
/* 003 */ }
/* 004 */
/* 004 */
/* 005 */ final class GeneratedIterator extends org.apache.spark.sql.execution.BufferedRowIterator {
/* 005 */ final class GeneratedIterator extends org.apache.spark.sql.execution.BufferedRowIterator {
/* 006 */ private Object[] references;
/* 006 */ private Object[] references;
/* 007 */ private scala.collection.Iterator[] inputs;
/* 007 */ private scala.collection.Iterator[] inputs;
/* 008 */ private boolean range_initRange;
/* 008 */ private boolean range_initRange;
/* 009 */ private long range_number;
/* 009 */ private long range_number;
/* 010 */ private TaskContext range_taskContext;
/* 010 */ private TaskContext range_taskContext;
/* 011 */ private InputMetrics range_inputMetrics;
/* 011 */ private InputMetrics range_inputMetrics;
/* 012 */ private long range_batchEnd;
/* 012 */ private long range_batchEnd;
/* 013 */ private long range_numElementsTodo;
/* 013 */ private long range_numElementsTodo;
/* 014 */ private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder[] range_mutableStateArray1 = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder[3];
/* 014 */ private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder[] range_mutableStateArray1 = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder[3];
/* 015 */ private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter[] range_mutableStateArray2 = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter[3];
/* 015 */ private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter[] range_mutableStateArray2 = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter[3];
/* 016 */ private UnsafeRow[] range_mutableStateArray = new UnsafeRow[3];
/* 016 */ private UnsafeRow[] range_mutableStateArray = new UnsafeRow[3];
/* 017 */
/* 017 */
/* 018 */ public GeneratedIterator(Object[] references) {
/* 018 */ public GeneratedIterator(Object[] references) {
/* 019 */ this.references = references;
/* 019 */ this.references = references;
/* 020 */ }
/* 020 */ }
/* 021 */
/* 021 */
/* 022 */ public void init(int index, scala.collection.Iterator[] inputs) {
/* 022 */ public void init(int index, scala.collection.Iterator[] inputs) {
/* 023 */ partitionIndex = index;
/* 023 */ partitionIndex = index;
/* 024 */ this.inputs = inputs;
/* 024 */ this.inputs = inputs;
/* 025 */
/* 025 */
/* 026 */ range_taskContext = TaskContext.get();
/* 026 */ range_taskContext = TaskContext.get();
/* 027 */ range_inputMetrics = range_taskContext.taskMetrics().inputMetrics();
/* 027 */ range_inputMetrics = range_taskContext.taskMetrics().inputMetrics();
/* 028 */ range_mutableStateArray[0] = new UnsafeRow(1);
/* 028 */ range_mutableStateArray[0] = new UnsafeRow(1);
/* 029 */ range_mutableStateArray1[0] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[0], 0);
/* 029 */ range_mutableStateArray1[0] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[0], 0);
/* 030 */ range_mutableStateArray2[0] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[0], 1);
/* 030 */ range_mutableStateArray2[0] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[0], 1);
/* 031 */ range_mutableStateArray[1] = new UnsafeRow(1);
/* 031 */ range_mutableStateArray[1] = new UnsafeRow(1);
/* 032 */ range_mutableStateArray1[1] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[1], 0);
/* 032 */ range_mutableStateArray1[1] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[1], 0);
/* 033 */ range_mutableStateArray2[1] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[1], 1);
/* 033 */ range_mutableStateArray2[1] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[1], 1);
/* 034 */ range_mutableStateArray[2] = new UnsafeRow(1);
/* 034 */ range_mutableStateArray[2] = new UnsafeRow(1);
/* 035 */ range_mutableStateArray1[2] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[2], 0);
/* 035 */ range_mutableStateArray1[2] = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_mutableStateArray[2], 0);
/* 036 */ range_mutableStateArray2[2] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[2], 1);
/* 036 */ range_mutableStateArray2[2] = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_mutableStateArray1[2], 1);
/* 037 */
/* 037 */
/* 038 */ }
/* 038 */ }
/* 039 */
/* 039 */
/* 040 */ private void initRange(int idx) {
/* 040 */ private void initRange(int idx) {
/* 041 */ java.math.BigInteger index = java.math.BigInteger.valueOf(idx);
/* 041 */ java.math.BigInteger index = java.math.BigInteger.valueOf(idx);
/* 042 */ java.math.BigInteger numSlice = java.math.BigInteger.valueOf(8L);
/* 042 */ java.math.BigInteger numSlice = java.math.BigInteger.valueOf(8L);
/* 043 */ java.math.BigInteger numElement = java.math.BigInteger.valueOf(3L);
/* 043 */ java.math.BigInteger numElement = java.math.BigInteger.valueOf(5L);
/* 044 */ java.math.BigInteger step = java.math.BigInteger.valueOf(1L);
/* 044 */ java.math.BigInteger step = java.math.BigInteger.valueOf(1L);
/* 045 */ java.math.BigInteger start = java.math.BigInteger.valueOf(0L);
/* 045 */ java.math.BigInteger start = java.math.BigInteger.valueOf(0L);
/* 046 */ long partitionEnd;
/* 046 */ long partitionEnd;
/* 047 */
/* 047 */
/* 048 */ java.math.BigInteger st = index.multiply(numElement).divide(numSlice).multiply(step).add(start);
/* 048 */ java.math.BigInteger st = index.multiply(numElement).divide(numSlice).multiply(step).add(start);
/* 049 */ if (st.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 049 */ if (st.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 050 */ range_number = Long.MAX_VALUE;
/* 050 */ range_number = Long.MAX_VALUE;
/* 051 */ } else if (st.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 051 */ } else if (st.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 052 */ range_number = Long.MIN_VALUE;
/* 052 */ range_number = Long.MIN_VALUE;
/* 053 */ } else {
/* 053 */ } else {
/* 054 */ range_number = st.longValue();
/* 054 */ range_number = st.longValue();
/* 055 */ }
/* 055 */ }
/* 056 */ range_batchEnd = range_number;
/* 056 */ range_batchEnd = range_number;
/* 057 */
/* 057 */
/* 058 */ java.math.BigInteger end = index.add(java.math.BigInteger.ONE).multiply(numElement).divide(numSlice)
/* 058 */ java.math.BigInteger end = index.add(java.math.BigInteger.ONE).multiply(numElement).divide(numSlice)
/* 059 */ .multiply(step).add(start);
/* 059 */ .multiply(step).add(start);
/* 060 */ if (end.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 060 */ if (end.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 061 */ partitionEnd = Long.MAX_VALUE;
/* 061 */ partitionEnd = Long.MAX_VALUE;
/* 062 */ } else if (end.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 062 */ } else if (end.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 063 */ partitionEnd = Long.MIN_VALUE;
/* 063 */ partitionEnd = Long.MIN_VALUE;
/* 064 */ } else {
/* 064 */ } else {
/* 065 */ partitionEnd = end.longValue();
/* 065 */ partitionEnd = end.longValue();
/* 066 */ }
/* 066 */ }
/* 067 */
/* 067 */
/* 068 */ java.math.BigInteger startToEnd = java.math.BigInteger.valueOf(partitionEnd).subtract(
/* 068 */ java.math.BigInteger startToEnd = java.math.BigInteger.valueOf(partitionEnd).subtract(
/* 069 */ java.math.BigInteger.valueOf(range_number));
/* 069 */ java.math.BigInteger.valueOf(range_number));
/* 070 */ range_numElementsTodo = startToEnd.divide(step).longValue();
/* 070 */ range_numElementsTodo = startToEnd.divide(step).longValue();
/* 071 */ if (range_numElementsTodo < 0) {
/* 071 */ if (range_numElementsTodo < 0) {
/* 072 */ range_numElementsTodo = 0;
/* 072 */ range_numElementsTodo = 0;
/* 073 */ } else if (startToEnd.remainder(step).compareTo(java.math.BigInteger.valueOf(0L)) != 0) {
/* 073 */ } else if (startToEnd.remainder(step).compareTo(java.math.BigInteger.valueOf(0L)) != 0) {
/* 074 */ range_numElementsTodo++;
/* 074 */ range_numElementsTodo++;
/* 075 */ }
/* 075 */ }
/* 076 */ }
/* 076 */ }
/* 077 */
/* 077 */
/* 078 */ protected void processNext() throws java.io.IOException {
/* 078 */ protected void processNext() throws java.io.IOException {
/* 079 */ // initialize Range
/* 079 */ // initialize Range
/* 080 */ if (!range_initRange) {
/* 080 */ if (!range_initRange) {
/* 081 */ range_initRange = true;
/* 081 */ range_initRange = true;
/* 082 */ initRange(partitionIndex);
/* 082 */ initRange(partitionIndex);
/* 083 */ }
/* 083 */ }
/* 084 */
/* 084 */
/* 085 */ while (true) {
/* 085 */ while (true) {
/* 086 */ long range_range = range_batchEnd - range_number;
/* 086 */ long range_range = range_batchEnd - range_number;
/* 087 */ if (range_range != 0L) {
/* 087 */ if (range_range != 0L) {
/* 088 */ int range_localEnd = (int)(range_range / 1L);
/* 088 */ int range_localEnd = (int)(range_range / 1L);
/* 089 */ for (int range_localIdx = 0; range_localIdx < range_localEnd; range_localIdx++) {
/* 089 */ for (int range_localIdx = 0; range_localIdx < range_localEnd; range_localIdx++) {
/* 090 */ long range_value = ((long)range_localIdx * 1L) + range_number;
/* 090 */ long range_value = ((long)range_localIdx * 1L) + range_number;
/* 091 */
/* 091 */
/* 092 */ do {
/* 092 */ do {
/* 093 */ boolean filter_isNull1 = false;
/* 093 */ boolean filter_isNull1 = false;
/* 094 */ long filter_value1 = -1L;
/* 094 */ long filter_value1 = -1L;
/* 095 */ if (2L == 0) {
/* 095 */ if (2L == 0) {
/* 096 */ filter_isNull1 = true;
/* 096 */ filter_isNull1 = true;
/* 097 */ } else {
/* 097 */ } else {
/* 098 */ filter_value1 = (long)(range_value % 2L);
/* 098 */ filter_value1 = (long)(range_value % 2L);
/* 099 */ }
/* 099 */ }
/* 100 */ if (!(!(filter_isNull1))) continue;
/* 100 */ if (!(!(filter_isNull1))) continue;
/* 101 */
/* 101 */
/* 102 */ ((org.apache.spark.sql.execution.metric.SQLMetric) references[1] /* numOutputRows */).add(1);
/* 102 */ ((org.apache.spark.sql.execution.metric.SQLMetric) references[1] /* numOutputRows */).add(1);
/* 103 */
/* 103 */
/* 104 */ boolean project_isNull = false;
/* 104 */ boolean project_isNull = false;
/* 105 */ long project_value = -1L;
/* 105 */ long project_value = -1L;
/* 106 */ if (2L == 0) {
/* 106 */ if (2L == 0) {
/* 107 */ project_isNull = true;
/* 107 */ project_isNull = true;
/* 108 */ } else {
/* 108 */ } else {
/* 109 */ project_value = (long)(range_value % 2L);
/* 109 */ project_value = (long)(range_value % 2L);
/* 110 */ }
/* 110 */ }
/* 111 */ range_mutableStateArray2[2].zeroOutNullBytes();
/* 111 */ range_mutableStateArray2[2].zeroOutNullBytes();
/* 112 */
/* 112 */
/* 113 */ if (project_isNull) {
/* 113 */ if (project_isNull) {
/* 114 */ range_mutableStateArray2[2].setNullAt(0);
/* 114 */ range_mutableStateArray2[2].setNullAt(0);
/* 115 */ } else {
/* 115 */ } else {
/* 116 */ range_mutableStateArray2[2].write(0, project_value);
/* 116 */ range_mutableStateArray2[2].write(0, project_value);
/* 117 */ }
/* 117 */ }
/* 118 */ append(range_mutableStateArray[2]);
/* 118 */ append(range_mutableStateArray[2]);
/* 119 */
/* 119 */
/* 120 */ } while(false);
/* 120 */ } while(false);
/* 121 */
/* 121 */
/* 122 */ if (shouldStop()) { range_number = range_value + 1L; return; }
/* 122 */ if (shouldStop()) { range_number = range_value + 1L; return; }
/* 123 */ }
/* 123 */ }
/* 124 */ range_number = range_batchEnd;
/* 124 */ range_number = range_batchEnd;
/* 125 */ }
/* 125 */ }
/* 126 */
/* 126 */
/* 127 */ range_taskContext.killTaskIfInterrupted();
/* 127 */ range_taskContext.killTaskIfInterrupted();
/* 128 */
/* 128 */
/* 129 */ long range_nextBatchTodo;
/* 129 */ long range_nextBatchTodo;
/* 130 */ if (range_numElementsTodo > 1000L) {
/* 130 */ if (range_numElementsTodo > 1000L) {
/* 131 */ range_nextBatchTodo = 1000L;
/* 131 */ range_nextBatchTodo = 1000L;
/* 132 */ range_numElementsTodo -= 1000L;
/* 132 */ range_numElementsTodo -= 1000L;
/* 133 */ } else {
/* 133 */ } else {
/* 134 */ range_nextBatchTodo = range_numElementsTodo;
/* 134 */ range_nextBatchTodo = range_numElementsTodo;
/* 135 */ range_numElementsTodo = 0;
/* 135 */ range_numElementsTodo = 0;
/* 136 */ if (range_nextBatchTodo == 0) break;
/* 136 */ if (range_nextBatchTodo == 0) break;
/* 137 */ }
/* 137 */ }
/* 138 */ ((org.apache.spark.sql.execution.metric.SQLMetric) references[0] /* numOutputRows */).add(range_nextBatchTodo);
/* 138 */ ((org.apache.spark.sql.execution.metric.SQLMetric) references[0] /* numOutputRows */).add(range_nextBatchTodo);
/* 139 */ range_inputMetrics.incRecordsRead(range_nextBatchTodo);
/* 139 */ range_inputMetrics.incRecordsRead(range_nextBatchTodo);
/* 140 */
/* 140 */
/* 141 */ range_batchEnd += range_nextBatchTodo * 1L;
/* 141 */ range_batchEnd += range_nextBatchTodo * 1L;
/* 142 */ }
/* 142 */ }
/* 143 */ }
/* 143 */ }
/* 144 */
/* 144 */
/* 145 */ }
/* 145 */ }
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