mirror of
https://github.com/apache/impala.git
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a07fc367ee
This reverts commit 1ffb2bd5a2a2faaa759ebdbaf49bf00aa8f86b5e. Unbreak the packaging builds for now. Change-Id: Id079acb83d35b51ba4dfe1c8042e1c5ec891d807 Reviewed-on: http://gerrit.cloudera.org:8080/3543 Reviewed-by: Dan Hecht <dhecht@cloudera.com> Tested-by: Michael Ho <kwho@cloudera.com>
344 lines
13 KiB
Python
Executable File
344 lines
13 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright 2015 Cloudera Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# For readability purposes we define the error codes and messages at the top of the
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# file. New codes and messages must be added here. Old error messages MUST NEVER BE
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# DELETED, but can be renamed. The tuple layout for a new entry is: error code enum name,
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# numeric error code, format string of the message.
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#
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# TODO Add support for SQL Error Codes
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# https://msdn.microsoft.com/en-us/library/ms714687%28v=vs.85%29.aspx
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error_codes = (
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("OK", 0, ""),
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("UNUSED", 1, "<UNUSED>"),
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("GENERAL", 2, "$0"),
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("CANCELLED", 3, "$0"),
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("ANALYSIS_ERROR", 4, "$0"),
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("NOT_IMPLEMENTED_ERROR", 5, "$0"),
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("RUNTIME_ERROR", 6, "$0"),
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("MEM_LIMIT_EXCEEDED", 7, "$0"),
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("INTERNAL_ERROR", 8, "$0"),
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("RECOVERABLE_ERROR", 9, "$0"),
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("PARQUET_MULTIPLE_BLOCKS", 10,
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"Parquet files should not be split into multiple hdfs-blocks. file=$0"),
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("PARQUET_COLUMN_METADATA_INVALID", 11,
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"Column metadata states there are $0 values, but read $1 values from column $2. "
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"file=$3"),
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("PARQUET_HEADER_PAGE_SIZE_EXCEEDED", 12, "(unused)"),
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("PARQUET_HEADER_EOF", 13,
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"ParquetScanner: reached EOF while deserializing data page header. file=$0"),
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("PARQUET_GROUP_ROW_COUNT_ERROR", 14,
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"Metadata states that in group $0($1) there are $2 rows, but $3 rows were read."),
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("PARQUET_GROUP_ROW_COUNT_OVERFLOW", 15, "(unused)"),
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("PARQUET_MISSING_PRECISION", 16,
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"File '$0' column '$1' does not have the decimal precision set."),
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("PARQUET_WRONG_PRECISION", 17,
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"File '$0' column '$1' has a precision that does not match the table metadata "
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" precision. File metadata precision: $2, table metadata precision: $3."),
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("PARQUET_BAD_CONVERTED_TYPE", 18,
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"File '$0' column '$1' does not have converted type set to DECIMAL"),
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("PARQUET_INCOMPATIBLE_DECIMAL", 19,
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"File '$0' column '$1' contains decimal data but the table metadata has type $2"),
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("SEQUENCE_SCANNER_PARSE_ERROR", 20,
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"Problem parsing file $0 at $1$2"),
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("SNAPPY_DECOMPRESS_INVALID_BLOCK_SIZE", 21,
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"Decompressor: block size is too big. Data is likely corrupt. Size: $0"),
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("SNAPPY_DECOMPRESS_INVALID_COMPRESSED_LENGTH", 22,
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"Decompressor: invalid compressed length. Data is likely corrupt."),
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("SNAPPY_DECOMPRESS_UNCOMPRESSED_LENGTH_FAILED", 23,
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"Snappy: GetUncompressedLength failed"),
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("SNAPPY_DECOMPRESS_RAW_UNCOMPRESS_FAILED", 24,
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"SnappyBlock: RawUncompress failed"),
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("SNAPPY_DECOMPRESS_DECOMPRESS_SIZE_INCORRECT", 25,
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"Snappy: Decompressed size is not correct."),
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("HDFS_SCAN_NODE_UNKNOWN_DISK", 26, "Unknown disk id. "
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"This will negatively affect performance. "
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"Check your hdfs settings to enable block location metadata."),
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("FRAGMENT_EXECUTOR", 27, "Reserved resource size ($0) is larger than "
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"query mem limit ($1), and will be restricted to $1. Configure the reservation "
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"size by setting RM_INITIAL_MEM."),
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("PARTITIONED_HASH_JOIN_MAX_PARTITION_DEPTH", 28,
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"Cannot perform join at hash join node with id $0."
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" The input data was partitioned the maximum number of $1 times."
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" This could mean there is significant skew in the data or the memory limit is"
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" set too low."),
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("PARTITIONED_AGG_MAX_PARTITION_DEPTH", 29,
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"Cannot perform aggregation at hash aggregation node with id $0."
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" The input data was partitioned the maximum number of $1 times."
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" This could mean there is significant skew in the data or the memory limit is"
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" set too low."),
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("MISSING_BUILTIN", 30, "Builtin '$0' with symbol '$1' does not exist. "
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"Verify that all your impalads are the same version."),
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("RPC_GENERAL_ERROR", 31, "RPC Error: $0"),
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("RPC_TIMEOUT", 32, "RPC timed out"),
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("UDF_VERIFY_FAILED", 33,
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"Failed to verify function $0 from LLVM module $1, see log for more details."),
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("PARQUET_CORRUPT_RLE_BYTES", 34, "File $0 corrupt. RLE level data bytes = $1"),
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("AVRO_DECIMAL_RESOLUTION_ERROR", 35, "Column '$0' has conflicting Avro decimal types. "
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"Table schema $1: $2, file schema $1: $3"),
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("AVRO_DECIMAL_METADATA_MISMATCH", 36, "Column '$0' has conflicting Avro decimal types. "
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"Declared $1: $2, $1 in table's Avro schema: $3"),
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("AVRO_SCHEMA_RESOLUTION_ERROR", 37, "Unresolvable types for column '$0': "
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"table type: $1, file type: $2"),
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("AVRO_SCHEMA_METADATA_MISMATCH", 38, "Unresolvable types for column '$0': "
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"declared column type: $1, table's Avro schema type: $2"),
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("AVRO_UNSUPPORTED_DEFAULT_VALUE", 39, "Field $0 is missing from file and default "
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"values of type $1 are not yet supported."),
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("AVRO_MISSING_FIELD", 40, "Inconsistent table metadata. Mismatch between column "
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"definition and Avro schema: cannot read field $0 because there are only $1 fields."),
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("AVRO_MISSING_DEFAULT", 41,
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"Field $0 is missing from file and does not have a default value."),
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("AVRO_NULLABILITY_MISMATCH", 42,
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"Field $0 is nullable in the file schema but not the table schema."),
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("AVRO_NOT_A_RECORD", 43,
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"Inconsistent table metadata. Field $0 is not a record in the Avro schema."),
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("PARQUET_DEF_LEVEL_ERROR", 44, "Could not read definition level, even though metadata"
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" states there are $0 values remaining in data page. file=$1"),
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("PARQUET_NUM_COL_VALS_ERROR", 45, "Mismatched number of values in column index $0 "
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"($1 vs. $2). file=$3"),
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("PARQUET_DICT_DECODE_FAILURE", 46, "File '$0' is corrupt: error decoding "
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"dictionary-encoded value of type $1 at offset $2"),
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("SSL_PASSWORD_CMD_FAILED", 47,
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"SSL private-key password command ('$0') failed with error: $1"),
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("SSL_CERTIFICATE_PATH_BLANK", 48, "The SSL certificate path is blank"),
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("SSL_PRIVATE_KEY_PATH_BLANK", 49, "The SSL private key path is blank"),
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("SSL_CERTIFICATE_NOT_FOUND", 50, "The SSL certificate file does not exist at path $0"),
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("SSL_PRIVATE_KEY_NOT_FOUND", 51, "The SSL private key file does not exist at path $0"),
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("SSL_SOCKET_CREATION_FAILED", 52, "SSL socket creation failed: $0"),
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("MEM_ALLOC_FAILED", 53, "Memory allocation of $0 bytes failed"),
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("PARQUET_REP_LEVEL_ERROR", 54, "Could not read repetition level, even though metadata"
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" states there are $0 values remaining in data page. file=$1"),
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("PARQUET_UNRECOGNIZED_SCHEMA", 55, "File '$0' has an incompatible Parquet schema for "
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"column '$1'. Column type: $2, Parquet schema:\\n$3"),
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("COLLECTION_ALLOC_FAILED", 56, "Failed to allocate $0 bytes for collection '$1'.\\n"
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"Current buffer size: $2 num tuples: $3."),
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("TMP_DEVICE_BLACKLISTED", 57,
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"Temporary device for directory $0 is blacklisted from a previous error and cannot "
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"be used."),
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("TMP_FILE_BLACKLISTED", 58,
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"Temporary file $0 is blacklisted from a previous error and cannot be expanded."),
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("RPC_CLIENT_CONNECT_FAILURE", 59,
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"RPC client failed to connect: $0"),
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("STALE_METADATA_FILE_TOO_SHORT", 60, "Metadata for file '$0' appears stale. "
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"Try running \\\"refresh $1\\\" to reload the file metadata."),
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("PARQUET_BAD_VERSION_NUMBER", 61, "File '$0' has an invalid version number: $1\\n"
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"This could be due to stale metadata. Try running \\\"refresh $2\\\"."),
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("SCANNER_INCOMPLETE_READ", 62, "Tried to read $0 bytes but could only read $1 bytes. "
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"This may indicate data file corruption. (file $2, byte offset: $3)"),
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("SCANNER_INVALID_READ", 63, "Invalid read of $0 bytes. This may indicate data file "
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"corruption. (file $1, byte offset: $2)"),
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("AVRO_BAD_VERSION_HEADER", 64, "File '$0' has an invalid version header: $1\\n"
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"Make sure the file is an Avro data file."),
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("UDF_MEM_LIMIT_EXCEEDED", 65, "$0's allocations exceeded memory limits."),
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("BTS_BLOCK_OVERFLOW", 66, "Cannot process row that is bigger than the IO size "
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"(row_size=$0, null_indicators_size=$1). To run this query, increase the IO size "
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"(--read_size option)."),
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("COMPRESSED_FILE_MULTIPLE_BLOCKS", 67,
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"For better performance, snappy-, gzip-, and bzip-compressed files "
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"should not be split into multiple HDFS blocks. file=$0 offset $1"),
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("COMPRESSED_FILE_BLOCK_CORRUPTED", 68,
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"$0 Data error, likely data corrupted in this block."),
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("COMPRESSED_FILE_DECOMPRESSOR_ERROR", 69, "$0 Decompressor error at $1, code=$2"),
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("COMPRESSED_FILE_DECOMPRESSOR_NO_PROGRESS", 70,
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"Decompression failed to make progress, but end of input is not reached. "
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"File appears corrupted. file=$0"),
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("COMPRESSED_FILE_TRUNCATED", 71,
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"Unexpected end of compressed file. File may be truncated. file=$0"),
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("DATASTREAM_SENDER_TIMEOUT", 72, "Sender timed out waiting for receiver fragment "
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"instance: $0"),
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("KUDU_IMPALA_TYPE_MISSING", 73, "Kudu type $0 is not available in Impala."),
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("IMPALA_KUDU_TYPE_MISSING", 74, "Impala type $0 is not available in Kudu."),
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("KUDU_NOT_SUPPORTED_ON_OS", 75, "Kudu is not supported on this operating system."),
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("KUDU_NOT_ENABLED", 76, "Kudu features are disabled by the startup flag "
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"--disable_kudu."),
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("PARTITIONED_HASH_JOIN_REPARTITION_FAILS", 77, "Cannot perform hash join at node with "
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"id $0. Repartitioning did not reduce the size of a spilled partition. Repartitioning "
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"level $1. Number of rows $2."),
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("PARTITIONED_AGG_REPARTITION_FAILS", 78, "Cannot perform aggregation at node with "
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"id $0. Repartitioning did not reduce the size of a spilled partition. Repartitioning "
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"level $1. Number of rows $2."),
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("AVRO_TRUNCATED_BLOCK", 79, "File '$0' is corrupt: truncated data block at offset $1"),
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("AVRO_INVALID_UNION", 80, "File '$0' is corrupt: invalid union value $1 at offset $2"),
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("AVRO_INVALID_BOOLEAN", 81, "File '$0' is corrupt: invalid boolean value $1 at offset "
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"$2"),
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("AVRO_INVALID_LENGTH", 82, "File '$0' is corrupt: invalid length $1 at offset $2"),
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("SCANNER_INVALID_INT", 83, "File '$0' is corrupt: invalid encoded integer at offset $1"),
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("AVRO_INVALID_RECORD_COUNT", 84, "File '$0' is corrupt: invalid record count $1 at "
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"offset $2"),
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("AVRO_INVALID_COMPRESSED_SIZE", 85, "File '$0' is corrupt: invalid compressed block "
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"size $1 at offset $2"),
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("AVRO_INVALID_METADATA_COUNT", 86, "File '$0' is corrupt: invalid metadata count $1 "
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"at offset $2"),
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("SCANNER_STRING_LENGTH_OVERFLOW", 87, "File '$0' could not be read: string $1 was "
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"longer than supported limit of $2 bytes at offset $3"),
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("PARQUET_CORRUPT_PLAIN_VALUE", 88, "File '$0' is corrupt: error decoding value of type "
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"$1 at offset $2"),
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("PARQUET_CORRUPT_DICTIONARY", 89, "File '$0' is corrupt: error reading dictionary for "
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"data of type $1: $2"),
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)
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import sys
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import os
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# Verifies the uniqueness of the error constants and numeric error codes.
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# Numeric codes must start from 0, be in order and have no gaps
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def check_duplicates(codes):
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constants = {}
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next_num_code = 0
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for row in codes:
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if row[0] in constants:
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print("Constant %s already used, please check definition of '%s'!" % \
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(row[0], constants[row[0]]))
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exit(1)
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if row[1] != next_num_code:
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print("Numeric error codes must start from 0, be in order, and not have any gaps: "
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"got %d, expected %d" % (row[1], next_num_code))
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exit(1)
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next_num_code += 1
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constants[row[0]] = row[2]
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preamble = """
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// Copyright 2015 Cloudera Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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//
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// THIS FILE IS AUTO GENERATED BY generate_error_codes.py DO NOT MODIFY
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// IT BY HAND.
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//
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namespace cpp impala
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namespace java com.cloudera.impala.thrift
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"""
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# The script will always generate the file, CMake will take care of running it only if
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# necessary.
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target_file = "ErrorCodes.thrift"
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# Check uniqueness of error constants and numeric codes
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check_duplicates(error_codes)
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fid = open(target_file, "w+")
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try:
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fid.write(preamble)
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fid.write("""\nenum TErrorCode {\n""")
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fid.write(",\n".join(map(lambda x: " %s = %d" % (x[0], x[1]), error_codes)))
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fid.write("\n}")
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fid.write("\n")
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fid.write("const list<string> TErrorMessage = [\n")
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fid.write(",\n".join(map(lambda x: " // %s\n \"%s\"" %(x[0], x[2]), error_codes)))
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fid.write("\n]")
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finally:
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fid.close()
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print("%s created." % target_file)
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