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- #!/usr/bin/env python
- # Copyright 2015 Cloudera Inc.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # For readability purposes we define the error codes and messages at the top of the
- # file. New codes and messages must be added here. Old error messages MUST NEVER BE
- # DELETED, but can be renamed. The tuple layout for a new entry is: error code enum name,
- # numeric error code, format string of the message.
- #
- # TODO Add support for SQL Error Codes
- # https://msdn.microsoft.com/en-us/library/ms714687%28v=vs.85%29.aspx
- from __future__ import print_function
- error_codes = (
- ("OK", 1, ""),
- ("GENERAL", 2, "$0"),
- ("CANCELLED", 3, "$0"),
- ("ANALYSIS_ERROR", 4, "$0"),
- ("NOT_IMPLEMENTED_ERROR", 5, "$0"),
- ("RUNTIME_ERROR", 6, "$0"),
- ("MEM_LIMIT_EXCEEDED", 7, "$0"),
- ("INTERNAL_ERROR", 8, "$0"),
- ("RECOVERABLE_ERROR", 9, "$0"),
- ("PARQUET_MULTIPLE_BLOCKS", 10,
- "Parquet files should not be split into multiple hdfs-blocks. file=$0"),
- ("PARQUET_COLUMN_METADATA_INVALID", 11,
- "Column metadata states there are $0 values, but read $1 values from column $2. "
- "file=$3"),
- ("PARQUET_HEADER_PAGE_SIZE_EXCEEDED", 12, "(unused)"),
- ("PARQUET_HEADER_EOF", 13,
- "ParquetScanner: reached EOF while deserializing data page header. file=$0"),
- ("PARQUET_GROUP_ROW_COUNT_ERROR", 14,
- "Metadata states that in group $0($1) there are $2 rows, but $3 rows were read."),
- ("PARQUET_GROUP_ROW_COUNT_OVERFLOW", 15, "(unused)"),
- ("PARQUET_MISSING_PRECISION", 16,
- "File '$0' column '$1' does not have the decimal precision set."),
- ("PARQUET_WRONG_PRECISION", 17,
- "File '$0' column '$1' has a precision that does not match the table metadata "
- " precision. File metadata precision: $2, table metadata precision: $3."),
- ("PARQUET_BAD_CONVERTED_TYPE", 18,
- "File '$0' column '$1' does not have converted type set to DECIMAL"),
- ("PARQUET_INCOMPATIBLE_DECIMAL", 19,
- "File '$0' column '$1' contains decimal data but the table metadata has type $2"),
- ("SEQUENCE_SCANNER_PARSE_ERROR", 20,
- "Problem parsing file $0 at $1$2"),
- ("SNAPPY_DECOMPRESS_INVALID_BLOCK_SIZE", 21,
- "Decompressor: block size is too big. Data is likely corrupt. Size: $0"),
- ("SNAPPY_DECOMPRESS_INVALID_COMPRESSED_LENGTH", 22,
- "Decompressor: invalid compressed length. Data is likely corrupt."),
- ("SNAPPY_DECOMPRESS_UNCOMPRESSED_LENGTH_FAILED", 23,
- "Snappy: GetUncompressedLength failed"),
- ("SNAPPY_DECOMPRESS_RAW_UNCOMPRESS_FAILED", 24,
- "SnappyBlock: RawUncompress failed"),
- ("SNAPPY_DECOMPRESS_DECOMPRESS_SIZE_INCORRECT", 25,
- "Snappy: Decompressed size is not correct."),
- ("HDFS_SCAN_NODE_UNKNOWN_DISK", 26, "Unknown disk id. "
- "This will negatively affect performance. "
- "Check your hdfs settings to enable block location metadata."),
- ("FRAGMENT_EXECUTOR", 27, "Reserved resource size ($0) is larger than "
- "query mem limit ($1), and will be restricted to $1. Configure the reservation "
- "size by setting RM_INITIAL_MEM."),
- ("PARTITIONED_HASH_JOIN_MAX_PARTITION_DEPTH", 28,
- "Cannot perform join at hash join node with id $0."
- " The input data was partitioned the maximum number of $1 times."
- " This could mean there is significant skew in the data or the memory limit is"
- " set too low."),
- ("PARTITIONED_AGG_MAX_PARTITION_DEPTH", 29,
- "Cannot perform aggregation at hash aggregation node with id $0."
- " The input data was partitioned the maximum number of $1 times."
- " This could mean there is significant skew in the data or the memory limit is"
- " set too low."),
- ("MISSING_BUILTIN", 30, "Builtin '$0' with symbol '$1' does not exist. "
- "Verify that all your impalads are the same version."),
- ("RPC_GENERAL_ERROR", 31, "RPC Error: $0"),
- ("RPC_TIMEOUT", 32, "RPC timed out"),
- ("UDF_VERIFY_FAILED", 33,
- "Failed to verify function $0 from LLVM module $1, see log for more details."),
- ("PARQUET_CORRUPT_VALUE", 34, "File $0 corrupt. RLE level data bytes = $1"),
- ("AVRO_DECIMAL_RESOLUTION_ERROR", 35, "Column '$0' has conflicting Avro decimal types. "
- "Table schema $1: $2, file schema $1: $3"),
- ("AVRO_DECIMAL_METADATA_MISMATCH", 36, "Column '$0' has conflicting Avro decimal types. "
- "Declared $1: $2, $1 in table's Avro schema: $3"),
- ("AVRO_SCHEMA_RESOLUTION_ERROR", 37, "Unresolvable types for column '$0': "
- "table type: $1, file type: $2"),
- ("AVRO_SCHEMA_METADATA_MISMATCH", 38, "Unresolvable types for column '$0': "
- "declared column type: $1, table's Avro schema type: $2"),
- ("AVRO_UNSUPPORTED_DEFAULT_VALUE", 39, "Field $0 is missing from file and default "
- "values of type $1 are not yet supported."),
- ("AVRO_MISSING_FIELD", 40, "Inconsistent table metadata. Mismatch between column "
- "definition and Avro schema: cannot read field $0 because there are only $1 fields."),
- ("AVRO_MISSING_DEFAULT", 41,
- "Field $0 is missing from file and does not have a default value."),
- ("AVRO_NULLABILITY_MISMATCH", 42,
- "Field $0 is nullable in the file schema but not the table schema."),
- ("AVRO_NOT_A_RECORD", 43,
- "Inconsistent table metadata. Field $0 is not a record in the Avro schema."),
- ("PARQUET_DEF_LEVEL_ERROR", 44, "Could not read definition level, even though metadata"
- " states there are $0 values remaining in data page. file=$1"),
- ("PARQUET_NUM_COL_VALS_ERROR", 45, "Mismatched number of values in column index $0 "
- "($1 vs. $2). file=$3"),
- ("PARQUET_DICT_DECODE_FAILURE", 46, "Failed to decode dictionary-encoded value. "
- "file=$0"),
- ("SSL_PASSWORD_CMD_FAILED", 47,
- "SSL private-key password command ('$0') failed with error: $1"),
- ("SSL_CERTIFICATE_PATH_BLANK", 48, "The SSL certificate path is blank"),
- ("SSL_PRIVATE_KEY_PATH_BLANK", 49, "The SSL private key path is blank"),
- ("SSL_CERTIFICATE_NOT_FOUND", 50, "The SSL certificate file does not exist at path $0"),
- ("SSL_PRIVATE_KEY_NOT_FOUND", 51, "The SSL private key file does not exist at path $0"),
- ("SSL_SOCKET_CREATION_FAILED", 52, "SSL socket creation failed: $0"),
- ("MEM_ALLOC_FAILED", 53, "Memory allocation of $0 bytes failed"),
- ("PARQUET_REP_LEVEL_ERROR", 54, "Could not read repetition level, even though metadata"
- " states there are $0 values remaining in data page. file=$1"),
- ("PARQUET_UNRECOGNIZED_SCHEMA", 55, "File '$0' has an incompatible Parquet schema for "
- "column '$1'. Column type: $2, Parquet schema:\\n$3"),
- ("COLLECTION_ALLOC_FAILED", 56, "Failed to allocate buffer for collection '$0'."),
- ("TMP_DEVICE_BLACKLISTED", 57,
- "Temporary device for directory $0 is blacklisted from a previous error and cannot "
- "be used."),
- ("TMP_FILE_BLACKLISTED", 58,
- "Temporary file $0 is blacklisted from a previous error and cannot be expanded."),
- ("RPC_CLIENT_CONNECT_FAILURE", 59,
- "RPC client failed to connect: $0"),
- ("STALE_METADATA_FILE_TOO_SHORT", 60, "Metadata for file '$0' appears stale. "
- "Try running \\\"refresh $1\\\" to reload the file metadata."),
- ("PARQUET_BAD_VERSION_NUMBER", 61, "File '$0' has an invalid version number: $1\\n"
- "This could be due to stale metadata. Try running \\\"refresh $2\\\"."),
- ("SCANNER_INCOMPLETE_READ", 62, "Tried to read $0 bytes but could only read $1 bytes. "
- "This may indicate data file corruption. (file $2, byte offset: $3)"),
- ("SCANNER_INVALID_READ", 63, "Invalid read of $0 bytes. This may indicate data file "
- "corruption. (file $1, byte offset: $2)"),
- ("AVRO_BAD_VERSION_HEADER", 64, "File '$0' has an invalid version header: $1\\n"
- "Make sure the file is an Avro data file."),
- ("IMPALA_2598_KERBEROS_SSL_DISALLOWED", 65, "Enabling server-to-server SSL connections "
- "in conjunction with Kerberos authentication is not supported at the same time. "
- "Disable server-to-server SSL by unsetting --ssl_client_ca_certificate."),
- )
- import sys
- import os
- # Verifies the uniqueness of the error constants and numeric error codes.
- def check_duplicates(codes):
- constants = {}
- num_codes = {}
- for row in codes:
- if row[0] in constants:
- print("Constant %s already used, please check definition of '%s'!" % \
- (row[0], constants[row[0]]))
- exit(1)
- if row[1] in num_codes:
- print("Numeric error code %d already used, please check definition of '%s'!" % \
- (row[1], num_codes[row[1]]))
- exit(1)
- constants[row[0]] = row[2]
- num_codes[row[1]] = row[2]
- preamble = """
- // Copyright 2015 Cloudera Inc.
- //
- // Licensed under the Apache License, Version 2.0 (the "License");
- // you may not use this file except in compliance with the License.
- // You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
- //
- //
- // THIS FILE IS AUTO GENERATED BY generated_error_codes.py DO NOT MODIFY
- // IT BY HAND.
- //
- namespace cpp impala
- namespace java com.cloudera.impala.thrift
- """
- # The script will always generate the file, CMake will take care of running it only if
- # necessary.
- target_file = "ErrorCodes.thrift"
- # Check uniqueness of error constants and numeric codes
- check_duplicates(error_codes)
- fid = open(target_file, "w+")
- try:
- fid.write(preamble)
- fid.write("""\nenum TErrorCode {\n""")
- fid.write(",\n".join([" %s" % x[0] for x in error_codes]))
- fid.write("\n}")
- fid.write("\n")
- fid.write("const list<string> TErrorMessage = [\n")
- fid.write(",\n".join([" // %s\n \"%s\"" %(x[0], x[2]) for x in error_codes]))
- fid.write("\n]")
- finally:
- fid.close()
- print("%s created." % target_file)
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